Morten Nielsen

Biochemistry, Genetics and Molecular BiologyImmunology and MicrobiologyMedicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 1%percentile

15.9Author DataRank

Indexed papers

5in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 5 indexed papers attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

Immune epitope database analysis resource

Nucleic Acids Research(2012)10.1093/nar/gks438

Top 2%

7.3DataRank

Top 2%521 citations

Z. Zhu, D. Tamang, P. Wang, C. Lundegaard, B. Peters +12 more

Papers

Driven by 37 papers — median percentile 92. Top paper: “Immune epitope database analysis resource”.

Immune epitope database analysis resource

Nucleic Acids Research(2012)10.1093/nar/gks438

Top 2%

7.3DataRank

Top 2%521 citations

Z. Zhu, D. Tamang, P. Wang, C. Lundegaard, B. Peters +12 more

Immune epitope database analysis resource (IEDB-AR)

Nucleic Acids Research(2008)10.1093/nar/gkn254

Top 3%

6.5DataRank

Top 3%402 citations

P. Wang, Y. Kim, P. Haste-Andersen, John E Beaver, Huynh-Hoa Bui +20 more

Benchmarking predictions of MHC class I restricted T cell epitopes in a comprehensively studied model system

PLoS Computational Biology(2020)10.1371/journal.pcbi.1007757

N/A

2.4DataRank · unranked

92 citations

Nathan P. Croft, Anthony W. Purcell, David C. Tscharke, Alessandro Sette, Morten Nielsen +2 more

Neoantigen-specific CD8 T cell responses in the peripheral blood following PD-L1 blockade might predict therapy outcome in metastatic urothelial carcinoma

Nature Communications(2022)10.1038/s41467-022-29342-0

N/A

2.1DataRank · unranked

82 citations

Samuel A. Funt, Annie Borch, Kamilla Kjærgaard Munk, Anne-Mette Bjerregaard, James L. Reading +17 more

The Cancer Epitope Database and Analysis Resource (CEDAR)

Nucleic Acids Research(2022)10.1093/nar/gkac902

Top 14%

1.5DataRank

Top 14%71 citations

Nina Blazeska, Randi Vita, Hannah Carter, Morten Nielsen, Stephen P. Schoenberger +3 more

NetMHCpan-4.1 and NetMHCIIpan-4.0: improved predictions of MHC antigen presentation by concurrent motif deconvolution and integration of MS MHC eluted ligand data

Nucleic Acids Research(2020)10.1093/nar/gkaa379

N/A

1.2DataRank · unranked

2397 citations

Bruno Alvarez, Sinu Paul, Bjoern Peters, Morten Nielsen, Birkir Reynisson

Robust T Cell Immunity in Convalescent Individuals with Asymptomatic or Mild COVID-19

Cell(2020)10.1016/j.cell.2020.08.017

N/A

1.1DataRank · unranked

2000 citations

André Perez‐Potti, Olga Rivera‐Ballesteros, Kristoffer Strålin, Jean-Baptiste Gorin, Annika Olsson +73 more

T Cell Epitope Predictions

Annual Review of Immunology(2020)10.1146/annurev-immunol-082119-124838

N/A

0.848DataRank · unranked

284 citations

Morten Nielsen, Alessandro Sette, Bjoern Peters

NetTCR-2.0 enables accurate prediction of TCR-peptide binding by using paired TCRα and β sequence data

Communications Biology(2021)10.1038/s42003-021-02610-3

N/A

0.838DataRank · unranked

266 citations

Viktoria Schuster, Helle Rus Povlsen, Amalie Kai Bentzen, Vanessa Jurtz, William D. Chronister +7 more

The receiver operating characteristic curve accurately assesses imbalanced datasets

Patterns(2024)10.1016/j.patter.2024.100994

N/A

0.784DataRank · unranked

185 citations

Raphael Trevizani, Jason Greenbaum, Hannah Carter, Morten Nielsen, Bjoern Peters +1 more

The Cancer Epitope Database and Analysis Resource: A Blueprint for the Establishment of a New Bioinformatics Resource for Use by the Cancer Immunology Community

Frontiers in Immunology(2021)10.3389/fimmu.2021.735609

Top 32%

0.611DataRank

Top 32%16 citations

Nina Blazeska, Hannah Carter, Morten Nielsen, Ezra E.W. Cohen, Donald Küfe +6 more

Limitations of Ab Initio Predictions of Peptide Binding to MHC Class II Molecules

PLoS ONE(2010)10.1371/journal.pone.0009272

N/A

0.571DataRank · unranked

44 citations

Peng Wang, Nikitas Papangelopoulos, Ying Xu, Alessandro Sette, Philip E. Bourne +5 more

APRANK: Computational Prioritization of Antigenic Proteins and Peptides From Complete Pathogen Proteomes

Frontiers in Immunology(2021)10.3389/fimmu.2021.702552

N/A

0.533DataRank · unranked

11 citations

Mauricio Brunner, Diego Ramoa, Santiago J. Carmona, Morten Nielsen, Fernán Agüero +1 more

PEPMatch: a tool to identify short peptide sequence matches in large sets of proteins

BMC Bioinformatics(2023)10.1186/s12859-023-05606-4

N/A

0.457DataRank · unranked

20 citations

William D. Chronister, Luise Westernberg, Randi Vita, Zeynep Koşaloğlu, Alessandro Sette +4 more

HLA Class II Specificity Assessed by High-Density Peptide Microarray Interactions

The Journal of Immunology(2020)10.4049/jimmunol.2000224

N/A

0.416DataRank · unranked

15 citations

Morten Nielsen, Nadine L Dudek, Sri H Ramarathinam, Anthony W. Purcell, Claus Schafer-Nielsen +2 more

MARS: Improved De Novo Peptide Candidate Selection for Non-Canonical Antigen Target Discovery in Cancer

Research Square(2022)10.21203/rs.3.rs-1890352/v1

N/A

0.165DataRank · unranked

2 citations

Carolina Barra, Peng Xu, Isaac Woodhouse, Arun Tailor, Robert Parker +8 more

Molecular characterization of the archaic HLA-B∗73:01 allele reveals presentation of a unique peptidome and skewed engagement by KIR2DL2

Journal of Biological Chemistry(2025)10.1016/j.jbc.2025.110542

N/A

0.107DataRank · unranked

1 citations

Hugo G. Hilton, Jane E. Lodwick, Tomasz Ślężak, Lisbeth A. Guethlein, Curtis McMurtrey +13 more

NetMHCphosPan - Pan-specific prediction of MHC class I antigen presentation of phosphorylated ligands

ImmunoInformatics(2021)10.1016/j.immuno.2021.100005

N/A

0DataRank · unranked

10 citations

Carolina Barra, Peng Xu, Nicola Ternette, Morten Nielsen, Carina Thusgaard Refsgaard

Utilizing Computational Machine Learning Tools to Understand Immunogenic Breadth in the Context of a CD8 T-Cell Mediated HIV Response

Frontiers in Immunology(2021)10.3389/fimmu.2021.609884

N/A

0DataRank · unranked

10 citations

Rachel Rosenthal, Andrew Fioré-Gartland, Gladys Macharia, Sheila N. Balinda, Anne Kapaata +14 more

Accurate MHC Motif Deconvolution of Immunopeptidomics Data Reveals a Significant Contribution of DRB3, 4 and 5 to the Total DR Immunopeptidome

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.11.23.469647

N/A

0DataRank · unranked

1 citations

Carolina Barra, Bruno Alvarez, Hooman Yari, William H. Hildebrand, Morten Nielsen +1 more

APRANK: computational prioritization of antigenic proteins and peptides from complete pathogen proteomes

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.04.27.441630

N/A

0DataRank · unranked

0 citations

Mauricio Brunner, Diego Ramoa, Santiago J. Carmona, Morten Nielsen, Fernán Agüero +1 more

Accurate MHC Motif Deconvolution of Immunopeptidomics Data Reveals a Significant Contribution of DRB3, 4 and 5 to the Total DR Immunopeptidome

Frontiers in Immunology(2022)10.3389/fimmu.2022.835454

N/A

0DataRank · unranked

94 citations

Carolina Barra, Bruno Alvarez, Hooman Yari, William H. Hildebrand, Morten Nielsen +1 more

A systematic, unbiased mapping of CD8 + and CD4 + T cell epitopes in Yellow Fever vaccinees

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.03.28.012468

N/A

0DataRank · unranked

3 citations

Michael Kongsgaard, Michael Rasmussen, Mikkel Harndahl, Thomas Østerbye, Maria Rosaria Bassi +8 more

Integral use of immunopeptidomics and immunoinformatics for the characterization of antigen presentation and rational identification of BoLA-DR-presented peptides and epitopes

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.12.14.422738

N/A

0DataRank · unranked

6 citations

Birkir Reynisson, Lindert Benedictus, Annalisa Nicastri, Deepali Vasoya, Ivan Morrison +7 more

Combined assessment of MHC binding and antigen abundance improves T cell epitope predictions

iScience(2022)10.1016/j.isci.2022.103850

N/A

0DataRank · unranked

33 citations

Jenny Lee, Jason Greenbaum, Stephen P. Schoenberger, Aaron M. Miller, Young J. Kim +4 more

A Systematic, Unbiased Mapping of CD8+ and CD4+ T Cell Epitopes in Yellow Fever Vaccinees

Frontiers in Immunology(2020)10.3389/fimmu.2020.01836

N/A

0DataRank · unranked

26 citations

Michael Kongsgaard, Michael Rasmussen, Mikkel Harndahl, Thomas Østerbye, Maria Rosaria Bassi +8 more

A meta-analysis of epitopes in prostate-specific antigens identifies opportunities and knowledge gaps

Human Immunology(2023)10.1016/j.humimm.2023.08.145

N/A

0DataRank · unranked

0 citations

Nina Blazeska, Morten Nielsen, Hannah Carter, Zeynep Koşaloğlu, Bjoern Peters +2 more

Immunopeptidomic Data Integration to Artificial Neural Networks Enhances Protein-Drug Immunogenicity Prediction

Frontiers in Immunology(2020)10.3389/fimmu.2020.01304

N/A

0DataRank · unranked

31 citations

Chloé Ackaert, Birkir Reynisson, Jana Schockaert, Leon Eyrich Jessen, Mark H. Watson +7 more

Next-generation IEDB tools: a platform for epitope prediction and analysis

Nucleic Acids Research(2024)10.1093/nar/gkae407

N/A

0DataRank · unranked

58 citations

Kevin Kim, Haeuk Kim, Brendan Ha, Anaïs Gambiez, Jason W. Bennett +12 more

MARS an improved de novo peptide candidate selection method for non-canonical antigen target discovery in cancer

Nature Communications(2024)10.1038/s41467-023-44460-z

N/A

0DataRank · unranked

18 citations

Carolina Barra, Zhicheng Zhou, Peng Xu, Isaac Woodhouse, Arun Tailor +10 more

Is the vaccination-induced B cell receptor repertoire predictable?

ImmunoInformatics(2025)10.1016/j.immuno.2025.100057

N/A

0DataRank · unranked

3 citations

Lisa Willemsen, Pramod Shinde, Morten Nielsen, Bjoern Peters, Eve Richardson

T‐cell receptor insights: Determinants of Major Histocompatibility Complex class I versus class II recognition

Protein Science(2025)10.1002/pro.70262

N/A

0DataRank · unranked

2 citations

Leila Y. Chihab, Jonas Birkelund Nilsson, Lonneke Scheffer, Morten Nielsen, Bjoern Peters +1 more

Characterizing antibodies binding to the same epitope reveals limited contribution by heavy chain CDR3 sequences relative to other CDRs

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.05.24.655967

N/A

0DataRank · unranked

1 citations

Haeuk Kim, Marcus Fabiano de Almeida Mendes, Eve Richardson, Jason Greenbaum, Alessandro Sette +3 more

Cancer Epitope Prediction Tools & Analysis Pipelines in CEDAR

Preprints.org(2025)10.20944/preprints202510.0273.v1

N/A

0DataRank · unranked

0 citations

Jason Greenbaum, Zhen Yan, Kevin Kim, Haeuk Kim, Ashmitaa Logandha Ramamoorthy Premlal +8 more

PopCover-2.0. Improved Selection of Peptide Sets With Optimal HLA and Pathogen Diversity Coverage

Frontiers in Immunology(2021)10.3389/fimmu.2021.728936

N/A

0DataRank · unranked

13 citations

Alba Grifoni, Alison Tarke, Alessandro Sette, Morten Nielsen, Jonas Birkelund Nilsson

Immunoinformatics: Predicting Peptide–MHC Binding

Annual Review of Biomedical Data Science(2020)10.1146/annurev-biodatasci-021920-100259

N/A

0DataRank · unranked

112 citations

Massimo Andreatta, Bjoern Peters, Søren Buus, Morten Nielsen

Integral Use of Immunopeptidomics and Immunoinformatics for the Characterization of Antigen Presentation and Rational Identification of BoLA-DR–Presented Peptides and Epitopes

The Journal of Immunology(2021)10.4049/jimmunol.2001409

N/A

0DataRank · unranked

41 citations

Birkir Reynisson, Lindert Benedictus, Annalisa Nicastri, Deepali Vasoya, Ivan Morrison +7 more

Morten Nielsen

Indexed papers

Top data-sharing exemplar

Papers