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

Michael J. Keiser

QB3

ORCID: 0000-0002-1240-2192

Also affiliated with University of California, San Francisco, Keiser University, Institute of Chemical Biology and Fundamental Medicine, Quantitative BioSciences, Institute for Neurodegenerative Disorders, University of San Francisco, University of California, Berkeley

Computer ScienceBiochemistry, Genetics and Molecular BiologyMaterials Science

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
2.1Author DataRank

Indexed papers

3in 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 3 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.

The scalable precision medicine open knowledge engine (SPOKE): a massive knowledge graph of biomedical information

Bioinformatics(2023)10.1093/bioinformatics/btad080
Top 10%
2.1DataRank
Top 10%95 citations

Karthik Soman, Rabia E Akbas, Xiaoyuan Zhou, Brett Smith, Elaine C. Meng +22 more

Papers

Driven by 33 papers — median percentile 0. Top paper: “The scalable precision medicine open knowledge engine (SPOKE): a massive knowledge graph of biomedical information”.

The scalable precision medicine open knowledge engine (SPOKE): a massive knowledge graph of biomedical information

Bioinformatics(2023)10.1093/bioinformatics/btad080
Top 10%
2.1DataRank
Top 10%95 citations

Karthik Soman, Rabia E Akbas, Xiaoyuan Zhou, Brett Smith, Elaine C. Meng +22 more

Deep learning from multiple experts improves identification of amyloid neuropathologies

Acta Neuropathologica Communications(2022)10.1186/s40478-022-01365-0
N/A
0.950DataRank · unranked
33 citations

Ziqi Tang, Nicholas C. Mew, Sakshi Das, Justin Athey, Kirsty E. McAleese +8 more

Trans-channel fluorescence learning improves high-content screening for Alzheimer’s disease therapeutics

Nature Machine Intelligence(2022)10.1038/s42256-022-00490-8
N/A
0.385DataRank · unranked
12 citations

Jay C. Conrad, Noah R. Johnson, Annelies Laeremans, Joanne C. Lee, Jisoo Lee +7 more

Trans-Channel Fluorescence Learning Improves High-Content Screening for Alzheimer's Disease Therapeutics

SSRN Electronic Journal(2021)10.2139/ssrn.3762764
N/A
0.136DataRank · unranked
1 citations

Joanne C. Lee, Jisoo Lee, Annelies Laeremans, Stanley B. Prusiner, Sourav Bandyopadhyay +7 more

Trans-channel fluorescence learning improves high-content screening for Alzheimer’s disease therapeutics

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.01.08.425973
N/A
0.104DataRank · unranked
1 citations

Jacob I. Ayers, Annelies Laeremans, Joanne C. Lee, Jisoo Lee, Stanley B. Prusiner +7 more

Zebrafish behavioral profiling identifies multitarget antipsychotic-like compounds

UNC Libraries(2020)10.17615/9drd-2371
N/A
0DataRank · unranked
0 citations

Andrea Velenich, Giancarlo Bruni, Barbara J. Caldarone, Tama Evron, Andrew J. Rennekamp +15 more

Polygenic overlap between schizophrenia risk and antipsychotic response: a genomic medicine approach

UNC Libraries(2020)10.17615/13td-yy64
N/A
0DataRank · unranked
0 citations

Brian Kidd, Ben Readhead, Pamela Sklar, Stuart A. Scott, Shaun Purcell +9 more

In Silico Molecular Comparisons of C. elegans and Mammalian Pharmacology Identify Distinct Targets That Regulate Feeding

UNC Libraries(2020)10.17615/hdrf-bp38
N/A
0DataRank · unranked
0 citations

Zena Werb, Michael J. Keiser, Brian K. Shoichet, George A. Lemieux, Christian Laggner +5 more

Stress testing reveals gaps in clinic readiness of image-based diagnostic artificial intelligence models

npj Digital Medicine(2021)10.1038/s41746-020-00380-6
N/A
0DataRank · unranked
52 citations

Kristen Fernandez, Jacob Pfau, Rasika Reddy, Nhat Anh Cao, Max Y. Von-Franque +10 more

A Biomedical Open Knowledge Network Harnesses the Power of AI to Understand Deep Human Biology

AI Magazine(2022)10.1609/aimag.v43i1.19125
N/A
0DataRank · unranked
9 citations

Katy Börner, John P. Morris, Charlotte A. Nelson, Karthik Soman, Erica Schleimer +15 more

A biomedical open knowledge network harnesses the power of AI to understand deep human biology

AI Magazine(2022)10.1002/aaai.12037
N/A
0DataRank · unranked
8 citations

Katy Börner, John P. Morris, Charlotte A. Nelson, Karthik Soman, Erica Schleimer +15 more

Prioritizing virtual screening with interpretable interaction fingerprints

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.05.25.493419
N/A
0DataRank · unranked
9 citations

Laura Shub, Luca Ponzoni, Jessica L. McKinley, Matthew J. O’Meara, Rafaela Salgado Ferreira +3 more

In silico discovery of repetitive elements as key sequence determinants of 3D genome folding

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.08.11.503410
N/A
0DataRank · unranked
0 citations

Michael J. Keiser, Katherine S. Pollard, Laura M. Gunsalus

In silico discovery of repetitive elements as key sequence determinants of 3D genome folding

Cell Genomics(2023)10.1016/j.xgen.2023.100410
N/A
0DataRank · unranked
27 citations

Michael J. Keiser, Katherine S. Pollard, Laura M. Gunsalus

Toward a generalizable machine learning workflow for neurodegenerative disease staging with focus on neurofibrillary tangles

Acta Neuropathologica Communications(2023)10.1186/s40478-023-01691-x
N/A
0DataRank · unranked
21 citations

Thomas M. Pearce, Brittany N. Dugger, Michael J. Keiser, Marla Gearing, John F. Crary +7 more

Learning fast and fine-grained detection of amyloid neuropathologies from coarse-grained expert labels

Communications Biology(2023)10.1038/s42003-023-05031-6
N/A
0DataRank · unranked
10 citations

Shino Magaki, Harry V. Vinters, William H. Yong, Edwin S. Monuki, Christopher Kwesi O. Williams +7 more

Learning fast and fine-grained detection of amyloid neuropathologies from coarse-grained expert labels

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.01.13.524019
N/A
0DataRank · unranked
0 citations

Shino Magaki, Harry V. Vinters, William H. Yong, Edwin S. Monuki, Christopher Kwesi O. Williams +7 more

Learning chemical sensitivity reveals mechanisms of cellular response

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.08.26.554851
N/A
0DataRank · unranked
0 citations

Kristle Garcia, Hani Goodarzi, Michael J. Keiser, William Connell

ChromaFactor: deconvolution of single-molecule chromatin organization with non-negative matrix factorization

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.11.22.568268
N/A
0DataRank · unranked
0 citations

Michael J. Keiser, Katherine S. Pollard, Laura M. Gunsalus

Deep phenotypic profiling of neuroactive drugs in larval zebrafish

Nature Communications(2024)10.1038/s41467-024-54375-y
N/A
0DataRank · unranked
23 citations

Jack C. Taylor, Douglas Myers-Turnbull, Steven Chen, Matthew N. McCarroll, Michelle R. Arkin +3 more

Learning chemical sensitivity reveals mechanisms of cellular response

Communications Biology(2024)10.1038/s42003-024-06865-4
N/A
0DataRank · unranked
3 citations

Kristle Garcia, Hani Goodarzi, Michael J. Keiser, William Connell

Metric Ion Classification (MIC): A deep learning tool for assigning ions and waters in cryo-EM and x-ray crystallography structures

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.03.18.585639
N/A
0DataRank · unranked
3 citations

Wenjin Liu, Georgios Skiniotis, Michael J. Keiser, Michael J. Robertson, Laura Shub

Deep phenotypic profiling of neuroactive drugs in larval zebrafish

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.02.22.581657
N/A
0DataRank · unranked
1 citations

Jack C. Taylor, Douglas Myers-Turnbull, Steven Chen, Matthew N. McCarroll, Michelle R. Arkin +3 more

Evolutionary-scale enzymology enables exploration of a rugged catalytic landscape

Science(2025)10.1126/science.adu1058
N/A
0DataRank · unranked
23 citations

Garrison P. R. Asper, Pascal Notin, Jacob A. Posner, Debora S. Marks, Michael J. Keiser +2 more

MIC: A deep learning tool for assigning ions and waters in cryo-EM and crystal structures

Nature Communications(2025)10.1038/s41467-025-61315-x
N/A
0DataRank · unranked
8 citations

Wenjin Liu, Georgios Skiniotis, Michael J. Keiser, Michael J. Robertson, Laura Shub

ChromaFactor: Deconvolution of single-molecule chromatin organization with non-negative matrix factorization

PLoS Computational Biology(2025)10.1371/journal.pcbi.1012841
N/A
0DataRank · unranked
0 citations

Michael J. Keiser, Katherine S. Pollard, Laura M. Gunsalus

An improved model for prediction of de novo designed proteins with diverse geometries

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.06.02.657515
Top 100%
0DataRank
Top 100%0 citations

Stephanie E. Crilly, Deniz Akpinaroglu, Eleanor Zhu, Michael J. Keiser, Tanja Kortemme +1 more

Deep learning from multiple experts improves identification of amyloid neuropathologies

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.03.12.435050
N/A
0DataRank · unranked
0 citations

Ziqi Tang, Nicholas C. Mew, Sakshi Das, Justin Athey, Kirsty E. McAleese +8 more

Applying machine learning to assist in the morphometric assessment of brain arteriolosclerosis through automation

PubMed(2025)10.17879/freeneuropathology-2025-6387
N/A
0DataRank · unranked
0 citations

Peter Chang, Kiana Nava, Chanon Chantaduly, Hsin-Pei Wang, William H. Yong +14 more

Additional file 2 of Deep learning from multiple experts improves identification of amyloid neuropathologies

Open MIND(2022)10.6084/m9.figshare.19681766
Top 100%
0DataRank
Top 100%0 citations

Ziqi Tang, Nicholas C. Mew, Sakshi Das, Justin Athey, Kirsty E. McAleese +8 more

Validation of machine learning models to detect amyloid pathologies across institutions

Acta Neuropathologica Communications(2020)10.1186/s40478-020-00927-4
N/A
0DataRank · unranked
37 citations

Marla Gearing, Michael J. Keiser, Jonathan D. Glass, Brittany N. Dugger, David A. Gutman +1 more

Simultaneous analysis of neuroactive compounds in zebrafish

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.01.01.891432
N/A
0DataRank · unranked
14 citations

Jack C. Taylor, Cole Helsell, Matthew N. McCarroll, Chris S Ki, Tia A. Tummino +7 more

Chemical informatics and target identification in a zebrafish phenotypic screen

UNC Libraries(2020)10.17615/90rb-b065
N/A
0DataRank · unranked
0 citations

Henry C. Lin, Christian Laggner, Bryan L. Roth, Vincent Setola, David Kokel +7 more