Gerald W. Becker

4.9k citations
53 papers · 4.0k · h-index 30

Impact in

Papers in

Gerald W. Becker

53 papers receiving 3.8k citations

Peers

Gerald W. Becker
Comparison fields: 5 of 131
  • Endocrine and Autonomic Systems 537
  • Pharmacology 916
  • Pharmacology 260
  • Toxicology 101
  • Cellular and Molecular Neuroscience 468
Replace Arthur A. Patchett with:
Arthur A. Patchett United States
Mayumi Yoshida Japan
Wayne B. Anderson United States
Matthias U. Kassack Germany
Yves Landry France
Michel Gallant Canada
Hongwei Jin China
Paolo Grieco Italy
Ewa Sikora Poland
Marc Labelle Canada
Gerald W. Becker relative to Arthur A. Patchett United States Arthur A. Patchett's profile →
Citations per field
00.5×4.0×
Arthur A. Patchett · 1×
Citations per year

Countries citing papers authored by Gerald W. Becker

Since Specialization
Citations

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

Fields of papers citing papers by Gerald W. Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerald W. Becker. 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 Gerald W. Becker. The network helps show where Gerald W. Becker may publish in the future.

Co-authors

The 25 scholars most cited alongside Gerald W. Becker, 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 Gerald W. Becker Line = papers co-authored together Gerald W. Becker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996452
2 2002441
3 1994325
4 1996276
5 1993252
6 1997141
7 1987132
8 2003124
9 2002121
10 1980107
11 200993
12 197790
13 198687
14 199584
15 200083
16 201175
17 199969
18 199763
19 200161
20 198661

About Gerald W. Becker

Gerald W. Becker is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Endocrinology, Diabetes and Metabolism, Spectroscopy and Organic Chemistry, having authored 53 papers that have together received 4.0k indexed citations. Recurring topics across this work include Protein purification and stability (13 papers), Monoclonal and Polyclonal Antibodies Research (13 papers), Viral Infectious Diseases and Gene Expression in Insects (8 papers), Mass Spectrometry Techniques and Applications (7 papers), Growth Hormone and Insulin-like Growth Factors (6 papers), Advanced Proteomics Techniques and Applications (5 papers), Prostate Cancer Treatment and Research (3 papers) and Synthesis of β-Lactam Compounds (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (537 citations), Pharmacology (916 citations), Pharmacology (260 citations), Toxicology (101 citations) and Cellular and Molecular Neuroscience (468 citations). Gerald W. Becker has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include John E. Hale, Hansen M. Hsiung, Michael D. Knierman, Vladimir I. Razinkov, David N. Brems, Jeffrey Stevens, Mark VandenBranden, Steven Wrighton, Christian C. Felder and R.M. Riggin. Their work appears in journals such as Journal of Pharmaceutical Sciences, Nature Biotechnology, Analytical Biochemistry, Journal of Biological Chemistry and SLAS DISCOVERY.

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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