Krishnan, Arjun

University of Colorado Anschutz Medical Campus

Biochemistry, Genetics and Molecular BiologyMedicine

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 2%percentile

3.1Author DataRank

Indexed papers

6in 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 6 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.

Integration of 168,000 samples reveals global patterns of the human gut microbiome

Cell(2025)10.1016/j.cell.2024.12.017

Top 14%

1.5DataRank

Top 14%107 citations

Samantha P. Graham, Vincent Rubinetti, Mansooreh Ahmadian, Parker Hicks, Ashwin Chetty +10 more

Papers

Driven by 38 papers — median percentile 48. Top paper: “Current and future directions in network biology”.

Current and future directions in network biology

Bioinformatics Advances(2024)10.1093/bioadv/vbae099

N/A

1.6DataRank · unranked

100 citations

Michelle M. Li, Aydin Wells, Kimberly Glass, Deisy Morselli Gysi, Krishnan, Arjun +32 more

Integration of 168,000 samples reveals global patterns of the human gut microbiome

Cell(2025)10.1016/j.cell.2024.12.017

Top 14%

1.5DataRank

Top 14%107 citations

Samantha P. Graham, Vincent Rubinetti, Mansooreh Ahmadian, Parker Hicks, Ashwin Chetty +10 more

Supervised learning is an accurate method for network-based gene classification

Bioinformatics(2020)10.1093/bioinformatics/btaa150

N/A

1.1DataRank · unranked

40 citations

Christopher A Mancuso, Anna Yannakopoulos, Kayla A Johnson, Krishnan, Arjun, Renming Liu

Accurately modeling biased random walks on weighted networks using node2vec+

Bioinformatics(2023)10.1093/bioinformatics/btad047

N/A

1.0DataRank · unranked

34 citations

Matthew Hirn, Krishnan, Arjun, Renming Liu

Understanding multicellular function and disease with human tissue-specific networks

Nature Genetics(2015)10.1038/ng.3259

N/A

1.0DataRank · unranked

925 citations

Krishnan, Arjun, Aaron K. Wong, Emanuela Ricciotti, Daniel S. Himmelstein, Ran Zhang +12 more

Systematic tissue annotations of genomics samples by modeling unstructured metadata

Nature Communications(2022)10.1038/s41467-022-34435-x

Top 25%

0.808DataRank

Top 25%19 citations

Marc Maldaver, Anna Yannakopoulos, Lindsay Guare, Krishnan, Arjun, Nathaniel T. Hawkins

Targeted exploration and analysis of large cross-platform human transcriptomic compendia

Nature Methods(2015)10.1038/nmeth.3249

N/A

0.740DataRank · unranked

138 citations

Aaron K. Wong, Krishnan, Arjun, Sietse Aukema, Alicja Tadych, Ran Zhang +10 more

Integrative Networks Illuminate Biological Factors Underlying Gene–Disease Associations

Current Genetic Medicine Reports(2016)10.1007/s40142-016-0102-5

N/A

0.681DataRank · unranked

9 citations

Jaclyn N. Taroni, Casey S. Greene, Krishnan, Arjun

GenePlexus: a web-server for gene discovery using network-based machine learning

Nucleic Acids Research(2022)10.1093/nar/gkac335

Top 42%

0.448DataRank

Top 42%9 citations

Patrick Bills, Douglas Krum, Jacob Newsted, Renming Liu, Krishnan, Arjun +1 more

Computational strategies for cross-species knowledge transfer

PubMed(2024)10.48550/arxiv.2408.08503

N/A

0.245DataRank · unranked

2 citations

Christopher A Mancuso, Kayla A Johnson, Ingo Braasch, Krishnan, Arjun, Hao Yuan

Human pan-body age- and sex-specific molecular phenomena inferred from public transcriptome data using machine learning

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.01.12.523796

Top 62%

0.225DataRank

Top 62%3 citations

Krishnan, Arjun, Kayla A Johnson

Open Biomedical Network Benchmark A Python Toolkit for Benchmarking Datasets with Biomedical Networks

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.01.10.523485

Top 71%

0.128DataRank

Top 71%1 citations

Krishnan, Arjun, Renming Liu

Integrative networks illuminate biological factors underlying gene-disease associations

bioRxiv (Cold Spring Harbor Laboratory)(2016)10.1101/062695

N/A

0.104DataRank · unranked

1 citations

Jaclyn N. Taroni, Casey S. Greene, Krishnan, Arjun

Combinatorial patterns of gene expression changes contribute to variable expressivity of the developmental delay-associated 16p12.1 deletion

Genome Medicine(2021)10.1186/s13073-021-00982-z

N/A

0DataRank · unranked

12 citations

Anastasia Tyryshkina, Lucilla Pizzo, Corrine Smolen, Maitreya Das, Emily Huber +3 more

Systematic tissue annotations of –omics samples by modeling unstructured metadata

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.05.10.443525

N/A

0DataRank · unranked

5 citations

Marc Maldaver, Anna Yannakopoulos, Lindsay Guare, Krishnan, Arjun, Nathaniel T. Hawkins

Reconciling multiple connectivity scores for drug repurposing

Briefings in Bioinformatics(2021)10.1093/bib/bbab161

N/A

0DataRank · unranked

0 citations

Phoebe Tuyishime, Krishnan, Arjun, Janani Ravi, Kewalin Samart

Combinatorial patterns of gene expression changes contribute to variable expressivity of the developmental delay-associated 16p12.1 deletion

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.03.06.434203

N/A

0DataRank · unranked

0 citations

Anastasia Tyryshkina, Lucilla Pizzo, Corrine Smolen, Maitreya Das, Emily Huber +3 more

Robust normalization and transformation techniques for constructing gene coexpression networks from RNA-seq data

Genome biology(2022)10.1186/s13059-021-02568-9

N/A

0DataRank · unranked

112 citations

Krishnan, Arjun, Kayla A Johnson

A Flexible, Interpretable, and Accurate Approach for Imputing the Expression of Unmeasured Genes

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.03.30.016675

N/A

0DataRank · unranked

1 citations

Jacob L Canfield, Deepak Singla, Krishnan, Arjun, Christopher A Mancuso

A flexible, interpretable, and accurate approach for imputing the expression of unmeasured genes

Nucleic Acids Research(2020)10.1093/nar/gkaa881

N/A

0DataRank · unranked

12 citations

Jacob L Canfield, Deepak Singla, Krishnan, Arjun, Christopher A Mancuso

A network-based approach for isolating the chronic inflammation gene signatures underlying complex diseases towards finding new treatment opportunities

Frontiers in Pharmacology(2022)10.3389/fphar.2022.995459

N/A

0DataRank · unranked

6 citations

Alexander McKim, Christopher A Mancuso, Krishnan, Arjun, Stephanie L. Hickey

Accurately modeling biased random walks on weighted networks using node2vec+

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.08.14.503926

N/A

0DataRank · unranked

5 citations

Matthew Hirn, Krishnan, Arjun, Renming Liu

PyGenePlexus: A Python package for gene discovery using network-based machine learning

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.07.02.498552

N/A

0DataRank · unranked

2 citations

Renming Liu, Krishnan, Arjun, Christopher A Mancuso

A network-based approach for isolating the chronic inflammation gene signatures underlying complex diseases towards finding new treatment opportunities

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.02.10.479987

N/A

0DataRank · unranked

0 citations

Alexander McKim, Christopher A Mancuso, Krishnan, Arjun, Stephanie L. Hickey

Human Microbiome Compendium dataset

Zenodo (CERN European Organization for Nuclear Research)(2025)10.5281/zenodo.8186993

Top 100%

0DataRank

Top 100%0 citations

Samantha P. Graham, Vincent Rubinetti, Frank W. Albert, Casey S. Greene, Sean Davis +7 more

Topological data analysis reveals a core gene expression backbone that defines form and function across flowering plants

PLoS Biology(2023)10.1371/journal.pbio.3002397

N/A

0DataRank · unranked

12 citations

Joshua A. M. Kaste, Miles Roberts, Kenia Segura Abá, Carly Claucherty, Jamell Dacon +20 more

PyGenePlexus: a Python package for gene discovery using network-based machine learning

Bioinformatics(2023)10.1093/bioinformatics/btad064

N/A

0DataRank · unranked

7 citations

Renming Liu, Krishnan, Arjun, Christopher A Mancuso

Current and future directions in network biology

arXiv (Cornell University)(2023)10.48550/arxiv.2309.08478

N/A

0DataRank · unranked

3 citations

Michelle M. Li, Aydin Wells, Kimberly Glass, Deisy Morselli Gysi, Krishnan, Arjun +32 more

Joint representation of molecular networks from multiple species improves gene classification

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.05.02.539152

N/A

0DataRank · unranked

0 citations

Kayla A Johnson, Renming Liu, Krishnan, Arjun, Christopher A Mancuso

Joint representation of molecular networks from multiple species improves gene classification

PLoS Computational Biology(2024)10.1371/journal.pcbi.1011773

N/A

0DataRank · unranked

8 citations

Kayla A Johnson, Renming Liu, Krishnan, Arjun, Christopher A Mancuso

Prioritizing Maize Metabolic Gene Regulators through Multi-Omic Network Integration

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.02.26.582075

N/A

0DataRank · unranked

6 citations

Jonas Rodriguez, Peng Zhou, Yi‐Hsuan Chu, Erika Magnusson, Lina Gomez-Cano +5 more

Computational strategies for cross-species knowledge transfer

Nature Methods(2025)10.1038/s41592-025-02931-9

N/A

0DataRank · unranked

4 citations

Christopher A Mancuso, Kayla A Johnson, Ingo Braasch, Krishnan, Arjun, Hao Yuan

Integrative transcriptome-based drug repurposing in tuberculosis

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.06.02.657296

N/A

0DataRank · unranked

1 citations

Ling Thang, Landon Buskirk, Amy Tonielli, Krishnan, Arjun, Janani Ravi +1 more

PecanPy: a fast, efficient, and parallelized Python implementation of node2vec

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.07.23.218487

N/A

0DataRank · unranked

1 citations

Krishnan, Arjun, Renming Liu

A module-based approach for post-omics, post-GWAS network-based gene classification

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.08.11.669721

N/A

0DataRank · unranked

0 citations

Christopher A Mancuso, Krishnan, Arjun, Alexander McKim

Robust normalization and transformation techniques for constructing gene coexpression networks from RNA-seq data

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.09.22.308577

N/A

0DataRank · unranked

0 citations

Krishnan, Arjun, Kayla A Johnson

PecanPy: a fast, efficient and parallelized Python implementation of node2vec

Bioinformatics(2021)10.1093/bioinformatics/btab202

N/A

0DataRank · unranked

60 citations

Krishnan, Arjun, Renming Liu

Functional assessment of the “two-hit” model for neurodevelopmental defects in Drosophila and X. laevis

PLoS Genetics(2021)10.1371/journal.pgen.1009112

N/A

0DataRank · unranked

25 citations

Micaela Lasser, Tanzeen Yusuff, Matthew Jensen, Phoebe Ingraham, Emily Huber +14 more

Krishnan, Arjun

Indexed papers

Top data-sharing exemplar

Papers