Ross Weatherman

1.6k total citations
25 papers, 1.3k citations indexed

About

Ross Weatherman is a scholar working on Genetics, Molecular Biology and Organic Chemistry. According to data from OpenAlex, Ross Weatherman has authored 25 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Genetics, 17 papers in Molecular Biology and 6 papers in Organic Chemistry. Recurrent topics in Ross Weatherman's work include Estrogen and related hormone effects (18 papers), Receptor Mechanisms and Signaling (4 papers) and Inflammatory mediators and NSAID effects (4 papers). Ross Weatherman is often cited by papers focused on Estrogen and related hormone effects (18 papers), Receptor Mechanisms and Signaling (4 papers) and Inflammatory mediators and NSAID effects (4 papers). Ross Weatherman collaborates with scholars based in United States. Ross Weatherman's co-authors include Thomas S. Scanlan, Laura L. Kiessling, Kathleen H. Mortell, Robert J. Fletterick, Joseph P. Trebley, David A. Flockhart, Kyung-Hoon Lee, Michael D. Johnson, James M. Rae and Hong Zuo and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Annual Review of Biochemistry.

In The Last Decade

Ross Weatherman

25 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ross Weatherman United States 16 662 640 338 232 230 25 1.3k
Surinder K. Chander United Kingdom 23 853 1.3× 933 1.5× 325 1.0× 90 0.4× 306 1.3× 38 1.7k
Martin Rowlands United Kingdom 29 1.5k 2.2× 538 0.8× 637 1.9× 248 1.1× 273 1.2× 67 2.6k
Kevin P. Madauss United States 19 783 1.2× 575 0.9× 162 0.5× 90 0.4× 454 2.0× 28 1.6k
Simon P. Newman United Kingdom 23 740 1.1× 647 1.0× 391 1.2× 87 0.4× 356 1.5× 32 1.4k
Atsushi Kittaka Japan 28 854 1.3× 878 1.4× 709 2.1× 93 0.4× 357 1.6× 186 2.6k
Richard E. Mewshaw United States 20 421 0.6× 329 0.5× 610 1.8× 75 0.3× 109 0.5× 35 1.2k
René Maltais Canada 20 599 0.9× 561 0.9× 316 0.9× 117 0.5× 72 0.3× 84 1.1k
Georges Teutsch France 21 480 0.7× 629 1.0× 362 1.1× 43 0.2× 126 0.5× 49 1.3k
Francis Bitsch Switzerland 21 1.2k 1.8× 285 0.4× 323 1.0× 42 0.2× 341 1.5× 31 1.9k
Raju Mohan United States 19 647 1.0× 204 0.3× 579 1.7× 61 0.3× 219 1.0× 35 1.3k

Countries citing papers authored by Ross Weatherman

Since Specialization
Citations

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

Fields of papers citing papers by Ross Weatherman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ross Weatherman

This figure shows the co-authorship network connecting the top 25 collaborators of Ross Weatherman. A scholar is included among the top collaborators of Ross Weatherman 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 Ross Weatherman. Ross Weatherman 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.
Weatherman, Ross, et al.. (2012). Dissecting rapid estrogen signaling with conjugates. Steroids. 77(10). 968–973. 7 indexed citations
2.
Weatherman, Ross, et al.. (2011). Tamoxifen promotes superoxide production in platelets by activation of PI3-Kinase and NADPH oxidase pathways. Thrombosis Research. 129(1). 36–42. 28 indexed citations
3.
Trebley, Joseph P., et al.. (2007). Tamoxifen-Based Probes for the Study of Estrogen Receptor-Mediated Transcription. PubMed. 75–87. 3 indexed citations
4.
Dobrydneva, Yuliya, et al.. (2007). Tamoxifen Stimulates Calcium Entry Into Human Platelets. Journal of Cardiovascular Pharmacology. 50(4). 380–390. 18 indexed citations
5.
Fan, Meiyun, et al.. (2006). Characterization of molecular and structural determinants of selective estrogen receptor downregulators. Breast Cancer Research and Treatment. 103(1). 37–44. 31 indexed citations
6.
Balasundaram, Ganesan, et al.. (2005). Nanomaterials for osteoporosis treatment. 170–171. 3 indexed citations
7.
Johnson, Michael D., Hong Zuo, Kyung-Hoon Lee, et al.. (2004). Pharmacological Characterization of 4-hydroxy-N-desmethyl Tamoxifen, a Novel Active Metabolite of Tamoxifen. Breast Cancer Research and Treatment. 85(2). 151–159. 350 indexed citations
8.
Johnson, Michael D., et al.. (2004). Endoxifen has antiestrogenic effects in breast cancer cells with potency similar to 4-hydroxy-tamoxifen.. 64. 867–868. 1 indexed citations
9.
Weatherman, Ross. (2003). Chemical approaches to studying transcription. Organic & Biomolecular Chemistry. 1(19). 3257–3257. 9 indexed citations
10.
Weatherman, Ross, Ching‐yi Chang, Nicola J. Clegg, et al.. (2002). Ligand-Selective Interactions of ER Detected in Living Cells by Fluorescence Resonance Energy Transfer. Molecular Endocrinology. 16(3). 487–496. 46 indexed citations
11.
Weatherman, Ross. (2002). Ligand-Selective Interactions of ER Detected in Living Cells by Fluorescence Resonance Energy Transfer. Molecular Endocrinology. 16(3). 487–496. 16 indexed citations
12.
Weatherman, Ross, Nicola J. Clegg, & Thomas S. Scanlan. (2001). Differential SERM activation of the estrogen receptors (ERα and ERβ) at AP-1 sites. Chemistry & Biology. 8(5). 427–436. 51 indexed citations
13.
Weatherman, Ross & Thomas S. Scanlan. (2001). Unique Protein Determinants of the Subtype-selective Ligand Responses of the Estrogen Receptors (ERα and ERβ) at AP-1 Sites. Journal of Biological Chemistry. 276(6). 3827–3832. 42 indexed citations
14.
Weatherman, Ross, D. C. Carroll, & Thomas S. Scanlan. (2001). Activity of a tamoxifen–Raloxifene hybrid ligand for estrogen receptors at an AP-1 Site. Bioorganic & Medicinal Chemistry Letters. 11(24). 3129–3131. 15 indexed citations
15.
Webb, Paul, Phuong Nguyen, Cathleen D. Valentine, et al.. (2000). An Antiestrogen-responsive Estrogen Receptor-α Mutant (D351Y) Shows Weak AF-2 Activity in the Presence of Tamoxifen. Journal of Biological Chemistry. 275(48). 37552–37558. 21 indexed citations
16.
Weatherman, Ross, Robert J. Fletterick, & Thomas S. Scanlan. (1999). Nuclear-Receptor Ligands and Ligand-Binding Domains. Annual Review of Biochemistry. 68(1). 559–581. 254 indexed citations
17.
Weatherman, Ross & Laura L. Kiessling. (1996). ChemInform Abstract: Fluorescence Anisotropy Assays Reveal Affinities of C‐ and O‐ Glycosides for Concanavalin A.. ChemInform. 27(23). 1 indexed citations
18.
Weatherman, Ross, Kathleen H. Mortell, Mary C. Chervenak, Laura L. Kiessling, & Eric J. Toone. (1996). Specificity of C-Glycoside Complexation by Mannose/Glucose Specific Lectins. Biochemistry. 35(11). 3619–3624. 94 indexed citations
19.
Weatherman, Ross & Laura L. Kiessling. (1996). Fluorescence Anisotropy Assays Reveal Affinities of C- and O-Glycosides for Concanavalin A1. The Journal of Organic Chemistry. 61(2). 534–538. 46 indexed citations
20.
Weatherman, Ross, et al.. (1992). Characterization of an ATPase associated with the lipid body membrane of germinating rapeseed. Phytochemistry. 31(2). 411–412. 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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