Jeff Blaney

1.4k total citations · 1 hit paper
10 papers, 680 citations indexed

About

Jeff Blaney is a scholar working on Computational Theory and Mathematics, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Jeff Blaney has authored 10 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computational Theory and Mathematics, 4 papers in Molecular Biology and 2 papers in Organic Chemistry. Recurrent topics in Jeff Blaney's work include Computational Drug Discovery Methods (5 papers), Machine Learning in Materials Science (2 papers) and vaccines and immunoinformatics approaches (1 paper). Jeff Blaney is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Machine Learning in Materials Science (2 papers) and vaccines and immunoinformatics approaches (1 paper). Jeff Blaney collaborates with scholars based in United States, France and United Kingdom. Jeff Blaney's co-authors include Robert A. Goodnow, Matthias Zentgraf, Norman Sieroka, Jasmin Fisher, Jennifer Listgarten, W. Patrick Walters, Petra Schneider, Kimito Funatsu, Thomas S. Rush and Alleyn T. Plowright and has published in prestigious journals such as Nature Biotechnology, Nature Reviews Drug Discovery and Journal of Medicinal Chemistry.

In The Last Decade

Jeff Blaney

8 papers receiving 648 citations

Hit Papers

Rethinking drug design in the artificial intelligence era 2019 2026 2021 2023 2019 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Rethinking drug design in the artificial intelligence era
    2019 496 citations Petra Schneider, W. Patrick Walters et al. Nature Reviews Drug Discovery profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jeff Blaney United States 7 392 342 179 88 47 10 680
Ryan Byrne Switzerland 4 382 1.0× 331 1.0× 193 1.1× 58 0.7× 51 1.1× 8 692
Zsolt Zsoldos United Kingdom 8 414 1.1× 387 1.1× 168 0.9× 116 1.3× 50 1.1× 11 609
Vladimir Aladinskiy Russia 9 431 1.1× 360 1.1× 301 1.7× 94 1.1× 49 1.0× 17 764
Zunyun Fu China 15 335 0.9× 345 1.0× 142 0.8× 125 1.4× 35 0.7× 29 717
Stefano Rensi United States 7 493 1.3× 375 1.1× 201 1.1× 55 0.6× 51 1.1× 10 804
Fangjin Chen China 10 310 0.8× 431 1.3× 100 0.6× 62 0.7× 41 0.9× 17 795
Matthias Zentgraf Germany 11 467 1.2× 511 1.5× 265 1.5× 129 1.5× 60 1.3× 14 946
Isha Singh United States 10 417 1.1× 666 1.9× 181 1.0× 105 1.2× 40 0.9× 14 901
Filip Miljković Germany 16 554 1.4× 460 1.3× 163 0.9× 97 1.1× 37 0.8× 43 806
Khanh Tang United States 4 484 1.2× 463 1.4× 177 1.0× 84 1.0× 25 0.5× 6 756

Countries citing papers authored by Jeff Blaney

Since Specialization
Citations

This map shows the geographic impact of Jeff Blaney'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 Jeff Blaney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeff Blaney more than expected).

Fields of papers citing papers by Jeff Blaney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeff Blaney. 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 Jeff Blaney. The network helps show where Jeff Blaney may publish in the future.

Co-authorship network of co-authors of Jeff Blaney

This figure shows the co-authorship network connecting the top 25 collaborators of Jeff Blaney. A scholar is included among the top collaborators of Jeff Blaney 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 Jeff Blaney. Jeff Blaney is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Scalia, Gabriele, Steven T. Rutherford, Kerry R. Buchholz, et al.. (2025). Deep-learning-based virtual screening of antibacterial compounds. Nature Biotechnology.
2.
Schneider, Petra, W. Patrick Walters, Alleyn T. Plowright, et al.. (2019). Rethinking drug design in the artificial intelligence era. Nature Reviews Drug Discovery. 19(5). 353–364. 496 indexed citations breakdown →
3.
Krämer, Christian, Attilla Ting, Hao Zheng, et al.. (2017). Learning Medicinal Chemistry Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) Rules from Cross-Company Matched Molecular Pairs Analysis (MMPA). Journal of Medicinal Chemistry. 61(8). 3277–3292. 67 indexed citations
4.
Burdick, Daniel J., Shumei Wang, Christopher E. Heise, et al.. (2015). Fragment-based discovery of potent ERK2 pyrrolopyrazine inhibitors. Bioorganic & Medicinal Chemistry Letters. 25(21). 4728–4732. 13 indexed citations
5.
Feng, Jianwen A., Ignacio Aliagas, Philippe Bergeron, et al.. (2015). An integrated suite of modeling tools that empower scientists in structure- and property-based drug design. Journal of Computer-Aided Molecular Design. 29(6). 511–523. 14 indexed citations
6.
Truhlar, Donald G., et al.. (2012). Rational Drug Design. CERN Document Server (European Organization for Nuclear Research). 3 indexed citations
7.
Blaney, Jeff. (2011). A very short history of structure-based design: how did we get here and where do we need to go?. Journal of Computer-Aided Molecular Design. 26(1). 13–14. 29 indexed citations
8.
Antonysamy, Stephen, Brandon E. Aubol, Jeff Blaney, et al.. (2008). Fragment-based discovery of hepatitis C virus NS5b RNA polymerase inhibitors. Bioorganic & Medicinal Chemistry Letters. 18(9). 2990–2995. 52 indexed citations
9.
Aubol, Brandon E., J. Hendle, Patrick Lee, et al.. (2007). Selective inhibition of MET protein receptor tyrosine kinase by SGX523. Molecular Cancer Therapeutics. 6. 6 indexed citations
10.
Crippen, Gordon M., et al.. (1999). New problems that should be addressed in the next ten years 7. 108. 7.

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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