🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Sándor Vajda

Boston University

ORCID: 0000-0003-1540-8220
Biochemistry, Genetics and Molecular BiologyComputer ScienceMaterials ScienceMedicine

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
4.8Author DataRank

Indexed papers

4in 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 4 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 →

Top data-sharing exemplar

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

Prediction of protein assemblies, the next frontier: The CASP14‐CAPRI experiment

Proteins Structure Function and Bioinformatics(2021)10.1002/prot.26222
Top 9%
2.3DataRank
Top 9%127 citations

Guillaume Brysbaert, Théo Mauri, Nurul Nadzirin, Sameer Velankar, Raphaël A. G. Chaleil +95 more

Papers

Driven by 15 papers — median percentile 89. Top paper: “Prediction of protein assemblies, the next frontier: The CASP14‐CAPRI experiment”.

Prediction of protein assemblies, the next frontier: The CASP14‐CAPRI experiment

Proteins Structure Function and Bioinformatics(2021)10.1002/prot.26222
Top 9%
2.3DataRank
Top 9%127 citations

Guillaume Brysbaert, Théo Mauri, Nurul Nadzirin, Sameer Velankar, Raphaël A. G. Chaleil +95 more

Impact of AlphaFold on structure prediction of protein complexes: The CASP15‐CAPRI experiment

Proteins Structure Function and Bioinformatics(2023)10.1002/prot.26609
Top 11%
1.9DataRank
Top 11%81 citations

Guillaume Brysbaert, Nessim Raouraoua, Paul A. Bates, Marco Giulini, Rodrigo V. Honorato +95 more

Analysis of tractable allosteric sites in G protein-coupled receptors

Scientific Reports(2019)10.1038/s41598-019-42618-8
N/A
1.5DataRank · unranked
45 citations

Jonathan S. Mason, Sándor Vajda, György M. Keserű, Amanda E. Wakefield

Impact of AlphaFold on Structure Prediction of Protein Complexes: The CASP15-CAPRI Experiment

Utrecht University Repository (Utrecht University)(2023)10.22541/au.168888815.53957253/v1
Top 36%
0.540DataRank
Top 36%17 citations

Guillaume Brysbaert, Nessim Raouraoua, Paul A. Bates, Marco Giulini, Rodrigo V. Honorato +95 more

MHC-Fine: Fine-tuned AlphaFold for precise MHC-peptide complex prediction

Biophysical Journal(2024)10.1016/j.bpj.2024.05.011
N/A
0.434DataRank · unranked
17 citations

Dmytro Kalitin, Darya Stepanenko, Y. Zhu, Thu Nguyen, George Jones +8 more

Phospho-Tune: Enhanced Structural Modeling of Phosphorylated Protein Interactions

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.02.29.582580
N/A
0.312DataRank · unranked
7 citations

Veranika Averkava, Sergei Kotelnikov, Darya Stepanenko, Thu Nguyen, Julie C. Mitchell +6 more

Misfolding PRSS1 variant p.Ala61Val in a case of suspected intrauterine pancreatitis

Pancreatology(2024)10.1016/j.pan.2024.12.013
N/A
0.241DataRank · unranked
4 citations

David S. Vitale, Zoltán Attila Nagy, Sherif Y. Ibrahim, Maisam Abu‐El‐Haija, Maria Lazou +3 more

Improved prediction of MHC-peptide binding using protein language models

Frontiers in Bioinformatics(2023)10.3389/fbinf.2023.1207380
N/A
0DataRank · unranked
19 citations

Boran Hao, Mikhail Ignatov, Ioannis Ch. Paschalidis, Pirooz Vakili, Sándor Vajda +2 more

MHC-Fine: Fine-tuned AlphaFold for Precise MHC-Peptide Complex Prediction

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.11.29.569310
N/A
0DataRank · unranked
11 citations

Dmytro Kalitin, Darya Stepanenko, Y. Zhu, Thu Nguyen, George Jones +7 more

Identification and Ranking of Binding Sites from Structural Ensembles: Application to SARS-CoV-2

Viruses(2024)10.3390/v16111647
N/A
0DataRank · unranked
4 citations

Ayse A. Bekar-Cesaretli, Sándor Vajda, Diane Joseph‐McCarthy, Maria Lazou

Preclinical testing of dabigatran in trypsin-dependent pancreatitis

JCI Insight(2022)10.1172/jci.insight.161145
N/A
0DataRank · unranked
18 citations

Zsanett Jancsó, Alexandra Demcsák, Balázs Csaba Németh, Sándor Vajda, Miklós Sahin‐Tóth +1 more

Improved cluster ranking in protein–protein docking using a regression approach

Computational and Structural Biotechnology Journal(2021)10.1016/j.csbj.2021.04.028
N/A
0DataRank · unranked
9 citations

Israel Desta, Nasser Hashemi, Shahrooz Zarbafian, Dima Kozakov, Pirooz Vakili +3 more

Novel p.G250A Mutation Associated with Chronic Pancreatitis Highlights Misfolding-Prone Region in Carboxypeptidase A1 (CPA1)

International Journal of Molecular Sciences(2022)10.3390/ijms232415463
N/A
0DataRank · unranked
14 citations

Franziska G. Thiel, M Schmid, Alexandra Demcsák, Nataly C. Morales Granda, Balázs Csaba Németh +4 more

Improved Predictions of MHC-Peptide Binding using Protein Language Models

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.02.11.479844
N/A
0DataRank · unranked
4 citations

Boran Hao, Mikhail Ignatov, Ioannis Ch. Paschalidis, Pirooz Vakili, Sándor Vajda +2 more

Mapping of antibody epitopes based on docking and homology modeling

Proteins Structure Function and Bioinformatics(2022)10.1002/prot.26420
N/A
0DataRank · unranked
24 citations

Sergei Kotelnikov, George Jones, Usman Ghani, Mikhail Abyzov, Yaroslav Kholodov +6 more