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

Mike J. Mason

Sage Bionetworks

ORCID: 0000-0002-5652-7739
Biochemistry, Genetics and Molecular BiologyNeuroscience

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
5.0Author DataRank

Indexed papers

1in 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 1 indexed paper 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.

Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen

Nature Communications(2019)10.1038/s41467-019-09799-2
Top 4%
5.0DataRank
Top 4%368 citations

Dennis Wang, Mike J. Mason, Bence Szalai, Krishna C. Bulusu, Yuanfang Guan +426 more

Papers

Driven by 7 papers — median percentile 96. Top paper: “Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen”.

Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen

Nature Communications(2019)10.1038/s41467-019-09799-2
Top 4%
5.0DataRank
Top 4%368 citations

Dennis Wang, Mike J. Mason, Bence Szalai, Krishna C. Bulusu, Yuanfang Guan +426 more

Crowdsourced mapping extends the target space of kinase inhibitors

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2019.12.31.891812
N/A
0.552DataRank · unranked
11 citations

Balaguru Ravikumar, Robert J. Allaway, Sung‐Joon Park, Fang Wan, Olexandr Isayev +22 more

A Crowdsourcing Approach to Develop Machine Learning Models to Quantify Radiographic Joint Damage in Rheumatoid Arthritis

JAMA Network Open(2022)10.1001/jamanetworkopen.2022.27423
N/A
0.489DataRank · unranked
25 citations

Thanh Minh Nguyen, Robert J. Allaway, Jelai Wang, Verena Chung, Thomas Yu +43 more

A Crowdsourcing Approach to Develop Machine Learning Models to Quantify Radiographic Joint Damage in Rheumatoid Arthritis

medRxiv(2021)10.1101/2021.10.25.21265495
N/A
0.325DataRank · unranked
6 citations

Thanh Nguyen, Robert J. Allaway, Jelai Wang, Verena Chung, Thomas Yu +17 more

Bayesian multi-source regression and monocyte-associated gene expression predict BCL-2 inhibitor resistance in acute myeloid leukemia

npj Precision Oncology(2021)10.1038/s41698-021-00209-9
N/A
0DataRank · unranked
32 citations

Suleiman A. Khan, Mike J. Mason, Muhammad Ammad-ud-din, Swapnil Potdar, Disha Malani +12 more

Crowdsourced mapping of unexplored target space of kinase inhibitors

Nature Communications(2021)10.1038/s41467-021-23165-1
N/A
0DataRank · unranked
88 citations

Balaguru Ravikumar, Robert J. Allaway, Fang Wan, Sung‐Joon Park, Olexandr Isayev +94 more

Genetic program activity delineates risk, relapse, and therapy responsiveness in multiple myeloma

npj Precision Oncology(2021)10.1038/s41698-021-00185-0
N/A
0DataRank · unranked
9 citations

Serdar Turkarslan, Wei‐Ju Wu, Samuel A. Danziger, David J. Reiss, Mike J. Mason +8 more