David Stein

649 total citations
32 papers, 400 citations indexed

About

David Stein is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, David Stein has authored 32 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Surgery. Recurrent topics in David Stein's work include Genomics and Rare Diseases (6 papers), Bioinformatics and Genomic Networks (6 papers) and Machine Learning in Bioinformatics (4 papers). David Stein is often cited by papers focused on Genomics and Rare Diseases (6 papers), Bioinformatics and Genomic Networks (6 papers) and Machine Learning in Bioinformatics (4 papers). David Stein collaborates with scholars based in United States, United Kingdom and France. David Stein's co-authors include Dwight D. Weller, James E. Summerton, Mike Partridge, Chandramallika Ghosh, Patrick L. Iversen, Avner Schlessinger, D.N. Cooper, Yuval Itan, Peter D. Stenson and Çiğdem Sevim Bayrak and has published in prestigious journals such as Circulation, Nature Communications and Nature Genetics.

In The Last Decade

David Stein

28 papers receiving 383 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Stein United States 10 223 61 60 47 35 32 400
Xiao-Sheng Jiang United States 10 334 1.5× 51 0.8× 46 0.8× 32 0.7× 39 1.1× 14 500
Aurelie Tomczak Germany 9 161 0.7× 29 0.5× 36 0.6× 39 0.8× 27 0.8× 12 283
Delphine De Sutter Belgium 11 201 0.9× 62 1.0× 23 0.4× 26 0.6× 17 0.5× 20 339
Babylakshmi Muthusamy India 13 311 1.4× 71 1.2× 44 0.7× 63 1.3× 25 0.7× 41 543
Mao Yang China 12 196 0.9× 70 1.1× 25 0.4× 56 1.2× 44 1.3× 28 428
Wei-Zhen Hong Singapore 9 361 1.6× 28 0.5× 66 1.1× 25 0.5× 16 0.5× 25 546
Leena Harju Finland 5 246 1.1× 82 1.3× 24 0.4× 34 0.7× 19 0.5× 9 380
Judith Hargreaves United Kingdom 10 125 0.6× 46 0.8× 18 0.3× 107 2.3× 52 1.5× 16 349
Anna Meyfour Iran 14 186 0.8× 59 1.0× 23 0.4× 72 1.5× 32 0.9× 29 379
Yuxin Liang United States 10 259 1.2× 27 0.4× 25 0.4× 35 0.7× 31 0.9× 18 368

Countries citing papers authored by David Stein

Since Specialization
Citations

This map shows the geographic impact of David Stein's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Stein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Stein more than expected).

Fields of papers citing papers by David Stein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Stein. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Stein. The network helps show where David Stein may publish in the future.

Co-authorship network of co-authors of David Stein

This figure shows the co-authorship network connecting the top 25 collaborators of David Stein. A scholar is included among the top collaborators of David Stein based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Stein. David Stein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Stein, David, Matthew Mort, Peter D. Stenson, et al.. (2025). Expanding the utility of variant effect predictions with phenotype-specific models. Nature Communications. 16(1). 11113–11113.
2.
Duffy, Áine, David Stein, Joshua K. Park, et al.. (2025). Development of a genetic priority score to predict drug side effects using human genetic evidence. Nature Communications. 16(1). 8713–8713.
3.
Duffy, Áine, Joshua K. Park, David Stein, et al.. (2025). Genetic evidence informs the direction of therapeutic modulation in drug development. PubMed. 2(1). 24–24.
4.
Duffy, Áine, Ben Omega Petrazzini, David Stein, et al.. (2024). Development of a human genetics-guided priority score for 19,365 genes and 399 drug indications. Nature Genetics. 56(1). 51–59. 11 indexed citations
5.
Li, Yan Chak, et al.. (2024). A comprehensive exploration of the druggable conformational space of protein kinases using AI-predicted structures. PLoS Computational Biology. 20(7). e1012302–e1012302. 7 indexed citations
6.
Duffy, Áine, Ben Omega Petrazzini, Ha My T. Vy, et al.. (2024). Expanding drug targets for 112 chronic diseases using a machine learning-assisted genetic priority score. Nature Communications. 15(1). 8891–8891. 5 indexed citations
7.
Sun, Yifei, Christian Dallago, David Stein, et al.. (2024). Structural analysis of genomic and proteomic signatures reveal dynamic expression of intrinsically disordered regions in breast cancer. iScience. 27(9). 110640–110640. 1 indexed citations
8.
Shi, Qian, Jinxi Wang, Eric T. Weatherford, et al.. (2024). IRS2 Signaling Protects Against Stress-Induced Arrhythmia by Maintaining Ca 2+ Homeostasis. Circulation. 150(24). 1966–1983. 1 indexed citations
9.
Stein, David, Yiming Wu, Çiğdem Sevim Bayrak, et al.. (2023). Genome-wide prediction of pathogenic gain- and loss-of-function variants from ensemble learning of a diverse feature set. Genome Medicine. 15(1). 103–103. 18 indexed citations
10.
Stein, David, et al.. (2022). Hybridization Chain Reaction Fluorescence In Situ Hybridization (HCR-FISH) in Ambystoma mexicanum Tissue. Methods in molecular biology. 2562. 109–122. 2 indexed citations
11.
12.
Stein, David, Huidong Chen, Michael Vinyard, et al.. (2021). singlecellVR: Interactive Visualization of Single-Cell Data in Virtual Reality. Frontiers in Genetics. 12. 764170–764170. 16 indexed citations
13.
Stein, David, et al.. (2020). DESS deconstructed: Is EDTA solely responsible for protection of high molecular weight DNA in this common tissue preservative?. PLoS ONE. 15(8). e0237356–e0237356. 16 indexed citations
14.
Wang, Yang, et al.. (2019). Measuring Students Affective States through Online Learning Logs — An Application of Learning Analytics. International Journal of Information and Education Technology. 9(5). 356–361. 7 indexed citations
15.
Lien, Cynthia A., Patricia Fogarty Mack, Seyed A. Safavynia, et al.. (2018). Optimizing Patient Access During an Emergency While Using Intraoperative Computed Tomography. World Neurosurgery. 121. 274–278.e1. 5 indexed citations
16.
Koronyo‐Hamaoui, Maya, Amos Frisch, David Stein, et al.. (2005). Dual contribution of NR2B subunit of NMDA receptor and SK3 Ca2+-activated K+ channel to genetic predisposition to anorexia nervosa. Journal of Psychiatric Research. 41(1-2). 160–167. 22 indexed citations
17.
Stein, David, et al.. (2002). CASE REPORT: Normalization of Markedly Elevated α-Fetoprotein in a Virologic Nonresponder with HCV-Related Cirrhosis. Digestive Diseases and Sciences. 47(12). 2686–2690. 10 indexed citations
18.
Stein, David, et al.. (2002). Splenic rupture after colonoscopy treated by splenic artery embolization. Gastrointestinal Endoscopy. 55(7). 946–948. 36 indexed citations
19.
Summerton, James E., et al.. (1997). Morpholino and Phosphorothioate Antisense Oligomers Compared in Cell-Free and In-Cell Systems. Antisense and Nucleic Acid Drug Development. 7(2). 63–70. 152 indexed citations
20.
Stein, David, et al.. (1987). Allergy abstracts. Journal of Allergy and Clinical Immunology. 79(2). B5–B8. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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