Reed M. Stein

1.1k total citations · 1 hit paper
7 papers, 657 citations indexed

About

Reed M. Stein is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Reed M. Stein has authored 7 papers receiving a total of 657 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Computational Theory and Mathematics and 2 papers in Organic Chemistry. Recurrent topics in Reed M. Stein's work include Computational Drug Discovery Methods (5 papers), Protein Structure and Dynamics (3 papers) and Circadian rhythm and melatonin (2 papers). Reed M. Stein is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Protein Structure and Dynamics (3 papers) and Circadian rhythm and melatonin (2 papers). Reed M. Stein collaborates with scholars based in United States, Sweden and Ukraine. Reed M. Stein's co-authors include Brian K. Shoichet, John J. Irwin, Trent E. Balius, Jiankun Lyu, Stefan Gahbauer, Andreas Luttens, Jens Carlsson, Chase M. Webb, Brian J. Bender and Elissa A. Fink and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The FASEB Journal.

In The Last Decade

Reed M. Stein

6 papers receiving 645 citations

Hit Papers

align trajectories

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.

A practical guide to large-scale docking

2021 310 citations Brian J. Bender, Stefan Gahbauer et al. Nature Protocols profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Reed M. Stein United States	4	436	344	95	92	64	7	657
Olena Savych Ukraine	9	386 0.9×	328 1.0×	132 1.4×	126 1.4×	56 0.9×	11	680
Brian J. Bender United States	11	492 1.1×	207 0.6×	64 0.7×	71 0.8×	103 1.6×	22	751
Nilkanth Patel United States	8	620 1.4×	230 0.7×	56 0.6×	64 0.7×	284 4.4×	9	777
Anthony W. J. Cooper United Kingdom	12	229 0.5×	137 0.4×	183 1.9×	34 0.4×	38 0.6×	17	462
Chidochangu P. Mpamhanga United Kingdom	8	438 1.0×	158 0.5×	66 0.7×	28 0.3×	113 1.8×	10	635
Samuel T. Slocum United States	10	572 1.3×	133 0.4×	133 1.4×	39 0.4×	304 4.8×	14	867
Jennifer Venhorst Netherlands	18	395 0.9×	229 0.7×	107 1.1×	38 0.4×	107 1.7×	26	811
Spencer S. Ericksen United States	15	399 0.9×	212 0.6×	41 0.4×	63 0.7×	86 1.3×	29	681
Carleton R. Sage United States	17	489 1.1×	107 0.3×	132 1.4×	81 0.9×	87 1.4×	26	692
Elizabeth Joshi United States	12	227 0.5×	193 0.6×	72 0.8×	98 1.1×	69 1.1×	14	425

Countries citing papers authored by Reed M. Stein

Since Specialization

Citations

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

Fields of papers citing papers by Reed M. Stein

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Reed M. 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 Reed M. Stein. The network helps show where Reed M. Stein may publish in the future.

Co-authorship network of co-authors of Reed M. Stein

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

All Works

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7 of 7 papers shown

1.

Tan, Yu-Hong, Mayukh Chakrabarti, Reed M. Stein, et al.. (2025). Development of Receptor Desolvation Scoring and Covalent Sampling in DOCK 6: Methods Evaluated on a RAS Test Set. Journal of Chemical Information and Modeling. 65(2). 722–748.

2.

Bender, Brian J., Stefan Gahbauer, Andreas Luttens, et al.. (2021). A practical guide to large-scale docking. Nature Protocols. 16(10). 4799–4832. 310 indexed citations breakdown →

3.

Stein, Reed M., Yang Ying, Trent E. Balius, et al.. (2021). Property-Unmatched Decoys in Docking Benchmarks. Journal of Chemical Information and Modeling. 61(2). 699–714. 68 indexed citations

4.

Stein, Reed M.. (2020). Understanding virtual solvent through large-scale ligand discovery. eScholarship (California Digital Library). 2 indexed citations

5.

Stein, Reed M., Hye Jin Kang, John D. McCorvy, et al.. (2020). Virtual discovery of melatonin receptor ligands to modulate circadian rhythms. Nature. 579(7800). 609–614. 212 indexed citations

6.

Glatfelter, Grant C., Reed M. Stein, Hye Jin Kang, et al.. (2020). In vivo Efficacy of Novel Type Preferring MT ₁ Melatonin Receptor Inverse Agonists in C3H/HeN Mouse Models of Chronobiological Behavior. The FASEB Journal. 34(S1). 1–1. 1 indexed citations

7.

Balius, Trent E., Marcus Fischer, Reed M. Stein, et al.. (2017). Testing inhomogeneous solvation theory in structure-based ligand discovery. Proceedings of the National Academy of Sciences. 114(33). E6839–E6846. 64 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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