William J. Welsh

10.2k total citations · 1 hit paper
231 papers, 7.5k citations indexed

About

William J. Welsh is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, William J. Welsh has authored 231 papers receiving a total of 7.5k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Molecular Biology, 58 papers in Computational Theory and Mathematics and 43 papers in Organic Chemistry. Recurrent topics in William J. Welsh's work include Computational Drug Discovery Methods (58 papers), Estrogen and related hormone effects (18 papers) and Receptor Mechanisms and Signaling (14 papers). William J. Welsh is often cited by papers focused on Computational Drug Discovery Methods (58 papers), Estrogen and related hormone effects (18 papers) and Receptor Mechanisms and Signaling (14 papers). William J. Welsh collaborates with scholars based in United States, United Kingdom and China. William J. Welsh's co-authors include Ni Ai, Weida Tong, Chung S. Yang, Roger Perkins, Vladyslav Kholodovych, Sean Ekins, Ming Zhu Fang, Yi Sun, Zhé Hóu and Hong Lu and has published in prestigious journals such as New England Journal of Medicine, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

William J. Welsh

225 papers receiving 7.3k 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.

Tea polyphenol (-)-epigallocatechin-3-gallate inhibits DNA methyltransferase and reactivates methylation-silenced genes in cancer cell lines.

2003 834 citations Ni Ai, William J. Welsh et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
William J. Welsh United States	46	3.0k	1.5k	1.2k	734	639	231	7.5k
Christopher P. Austin United States	59	5.7k 1.9×	2.5k 1.7×	973 0.8×	881 1.2×	795 1.2×	172	11.9k
Ruili Huang United States	48	3.3k 1.1×	2.6k 1.8×	618 0.5×	602 0.8×	583 0.9×	219	8.0k
Nicholas Bodor United States	42	2.3k 0.8×	951 0.6×	1.5k 1.2×	627 0.9×	612 1.0×	316	7.1k
David E. Patterson United States	42	2.9k 0.9×	3.0k 2.1×	1.5k 1.3×	290 0.4×	469 0.7×	130	9.0k
Huixiao Hong United States	56	3.0k 1.0×	2.2k 1.5×	633 0.5×	830 1.1×	389 0.6×	227	9.0k
Wei Zheng United States	57	6.0k 2.0×	1.3k 0.9×	1.1k 0.9×	615 0.8×	651 1.0×	382	12.6k
Menghang Xia United States	45	3.2k 1.0×	1.9k 1.3×	409 0.3×	590 0.8×	497 0.8×	231	7.6k
Anton Simeonov United States	65	8.4k 2.8×	2.4k 1.6×	1.5k 1.2×	828 1.1×	790 1.2×	298	14.1k
Jane He United States	7	3.9k 1.3×	1.6k 1.1×	398 0.3×	484 0.7×	546 0.9×	9	7.2k
Craig Knox Canada	17	6.3k 2.1×	3.3k 2.2×	448 0.4×	475 0.6×	734 1.1×	20	9.9k

Countries citing papers authored by William J. Welsh

Since Specialization

Citations

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

Fields of papers citing papers by William J. Welsh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William J. Welsh. 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 William J. Welsh. The network helps show where William J. Welsh may publish in the future.

Co-authorship network of co-authors of William J. Welsh

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Peng, Youyi, et al.. (2024). Preclinical Evaluation of Sigma 1 Receptor Antagonists as a Novel Treatment for Painful Diabetic Neuropathy. ACS Pharmacology & Translational Science. 7(8). 2358–2368. 5 indexed citations

Peng, Youyi, Qiang Zhang, & William J. Welsh. (2020). Novel Sigma 1 Receptor Antagonists as Potential Therapeutics for Pain Management. Journal of Medicinal Chemistry. 64(1). 890–904. 12 indexed citations

Osimitz, Thomas G., et al.. (2014). Polyester monomers lack ability to bind and activate both androgenic and estrogenic receptors as determined by In Vitro and In Silico methods. Food and Chemical Toxicology. 75. 128–138. 4 indexed citations

Meng, Qingyu, Jennifer Richmond‐Bryant, Shou‐En Lu, et al.. (2013). Cardiovascular Outcomes and the Physical and Chemical Properties of Metal Ions Found in Particulate Matter Air Pollution: A QICAR Study. Environmental Health Perspectives. 121(5). 558–564. 45 indexed citations

Duan, Peng, Shanshan Li, Ni Ai, et al.. (2012). Potent Inhibitors of Human Organic Anion Transporters 1 and 3 from Clinical Drug Libraries: Discovery and Molecular Characterization. Molecular Pharmaceutics. 9(11). 3340–3346. 46 indexed citations

Delker, Don A., David R. Geter, Barbara C. Roop, et al.. (2009). Oncogene expression profiles in K6/ODC mouse skin and papillomas following a chronic exposure to monomethylarsonous acid. Journal of Biochemical and Molecular Toxicology. 23(6). 406–418. 10 indexed citations

Reschly, Erica J., Ni Ai, Sean Ekins, et al.. (2008). Evolution of the bile salt nuclear receptor FXR in vertebrates*. Journal of Lipid Research. 49(7). 1577–1587. 92 indexed citations

Schnackenberg, Laura K., Minjun Chen, Jinchun Sun, et al.. (2008). Evaluations of the trans-sulfuration pathway in multiple liver toxicity studies. Toxicology and Applied Pharmacology. 235(1). 25–32. 28 indexed citations

Fernández, José R., William J. Welsh, & Bonnie L. Firestein. (2007). Structural characterization of the zinc binding domain in cytosolic PSD‐95 interactor (cypin): Role of zinc binding in guanine deamination and dendrite branching. Proteins Structure Function and Bioinformatics. 70(3). 873–881. 17 indexed citations

10.

Kortagere, Sandhya & William J. Welsh. (2006). Development and application of hybrid structure based method for efficient screening of ligands binding to G-protein coupled receptors. Journal of Computer-Aided Molecular Design. 20(12). 789–802. 36 indexed citations

11.

Yoon, Sukjoon & William J. Welsh. (2004). Detecting hidden sequence propensity for amyloid fibril formation. Protein Science. 13(8). 2149–2160. 88 indexed citations

12.

Tamura, Hiroto, Hiromichi Yoshikawa, Kevin W. Gaido, et al.. (2002). Interaction of organophosphate pesticides and related compounds with the androgen receptor.. Environmental Health Perspectives. 111(4). 545–552. 41 indexed citations

13.

DeLisle, Robert Kirk, et al.. (2001). Homology modeling of the estrogen receptor subtype β (ER-β) and calculation of ligand binding affinities. Journal of Molecular Graphics and Modelling. 20(2). 155–167. 21 indexed citations

14.

Tetko, Igor V., et al.. (2000). Polynomial Neural Network for Linear and Non-linear Model Selection in Quantitative-Structure Activity Relationship Studies on the Internet. SAR and QSAR in environmental research. 11(3-4). 263–280. 23 indexed citations

15.

Zauhar, Randy J., Christopher L. Colbert, Richard S. Morgan, & William J. Welsh. (2000). Evidence for a strong sulfur-aromatic interaction derived from crystallographic data. Biopolymers. 53(3). 233–248. 150 indexed citations

16.

Li, Xing, William J. Welsh, Weida Tong, Roger Perkins, & Daniel M. Sheehan. (1999). Comparison of Estrogen Receptor α and β Subtypes Based on Comparative Molecular Field Analysis (CoMFA). SAR and QSAR in environmental research. 10(2-3). 215–237. 22 indexed citations

17.

Tong, Weida, Roger Perkins, Xing Li, William J. Welsh, & Daniel M. Sheehan. (1997). QSAR Models for Binding of Estrogenic Compounds to Estrogen Receptor α and β Subtypes. Endocrinology. 138(9). 4022–4025. 117 indexed citations

18.

Welsh, William J., et al.. (1993). Research libraries : yesterday, today, and tomorrow. Greenwood Press eBooks. 2 indexed citations

19.

Welsh, William J., et al.. (1989). Performance analysis of image registration techniques. International Conference on Image Processing. 10–13. 4 indexed citations

20.

Welsh, William J.. (1981). Last of the Monumental Book Catalogs.. American libraries. 12(8). 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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