Ann E. Weber

78 papers receiving 3.0k citations

Peers

Ann E. Weber
Comparison fields: 5 of 111
  • Organic Chemistry 1.4k
  • Endocrinology, Diabetes and Metabolism 797
  • Cellular and Molecular Neuroscience 692
  • Pharmaceutical Science 200
  • Oncology 802
Replace A.L. Johnson with:
A.L. Johnson United States
William J. Greenlee United States
Emily F. Sabo United States
Manfred E. Wolff United States
Jean‐François Goossens France
Eberhard Heymann Germany
George A. Doss United States
Duane A. Burnett United Kingdom
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Dennis Dean United States
Ann E. Weber relative to A.L. Johnson United States A.L. Johnson's profile →
Citations per field
00.5×8.2×
A.L. Johnson · 1×
Citations per year

Countries citing papers authored by Ann E. Weber

Since Specialization
Citations

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

Fields of papers citing papers by Ann E. Weber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ann E. Weber. 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 Ann E. Weber. The network helps show where Ann E. Weber may publish in the future.

Co-authors

The 25 scholars most cited alongside Ann E. Weber, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ann E. Weber Line = papers co-authored together Ann E. Weber links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986284
2 2004238
3 2000179
4 1987164
5 2007154
6 1987121
7
Potent and selective human beta(3)-adrenergic receptor antagonists.
1999112
8 200895
9 198276
10 200470
11 201767
12 200557
13 199956
14 200551
15 200751
16 200051
17 200450
18 199949
19 200444
20 201742

About Ann E. Weber

Ann E. Weber is a scholar working on Cellular and Molecular Neuroscience, Oncology, Molecular Biology, Endocrinology, Diabetes and Metabolism and Animal Science and Zoology, having authored 78 papers that have together received 3.2k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (41 papers), Peptidase Inhibition and Analysis (35 papers), Diabetes Treatment and Management (31 papers), Receptor Mechanisms and Signaling (22 papers), Pharmacological Effects and Assays (16 papers), Adipose Tissue and Metabolism (14 papers), Chemical Synthesis and Analysis (7 papers) and Renin-Angiotensin System Studies (3 papers). The work is most often cited by research in Organic Chemistry (1.4k citations), Endocrinology, Diabetes and Metabolism (797 citations), Cellular and Molecular Neuroscience (692 citations), Pharmaceutical Science (200 citations) and Oncology (802 citations). Ann E. Weber has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include David A. Evans, Nancy A. Thornberry, Joseph K. Wu, Mari R. Candelore, Laurie Tota, Huaibing He, Margaret A. Cascieri, Barbara Leiting, Kathryn A. Lyons and Reshma A. Patel. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics, Tetrahedron Letters and Journal of the American Chemical Society.

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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