J.W. Becker
Impact in
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research
- Protein Structure and Dynamics
- Signaling Pathways in Disease
- Immunology top 10%
- Toxin Mechanisms and Immunotoxins
Papers in
-
- Glycosylation and Glycoproteins Research 8
- Signaling Pathways in Disease 4
- Protein Structure and Dynamics 2
-
- Toxin Mechanisms and Immunotoxins 4
- Co-authors
- George N. Reeke (6 shared papers)Gerald M. Edelman (5 shared papers)Bruce A. Cunningham (5 shared papers)A I Marcy (4 shared papers)J. Rotonda (4 shared papers)Hak‐Kim Chan (3 shared papers)Jonathan J. Burbaum (2 shared papers)H P Erickson (1 shared paper)
- Journals
- Journal of Biological Chemistry (5 papers)Proceedings of the National Academy of Sciences (3 papers)Journal of Biomolecular NMR (1 paper)Nature (1 paper)Current topics in microbiology and immunology (1 paper)
- Partner nations
- United StatesNetherlandsFrance
In The Last Decade
J.W. Becker
16 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 1.1k
- Immunology 255
- Biotechnology 73
- Immunology and Allergy 47
- Cell Biology 117
Countries citing papers authored by J.W. Becker
This map shows the geographic impact of J.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 J.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 J.W. Becker more than expected).
Fields of papers citing papers by J.W. Becker
This network shows the impact of papers produced by J.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 J.W. Becker. The network helps show where J.W. Becker may publish in the future.
Co-authors
The 23 scholars most cited alongside J.W. Becker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1975 | 324 | |
| 2 | 1975 | 300 | |
| 3 | 1976 | 168 | |
| 4 | 1985 | 145 | |
| 5 | 1989 | 96 | |
| 6 | 1979 | 59 | |
| 7 | 1993 | 55 | |
| 8 | 1993 | 49 | |
| 9 | 1993 | 44 | |
| 10 | 1988 | 30 | |
| 11 | 1996 | 26 | |
| 12 | 1972 | 16 | |
| 13 | 1977 | 16 | |
| 14 | 1996 | 3 | |
| 15 | 1970 | 2 | |
| 16 | The delta subunit of rod phosphodiesterase interacts with the RCC1 homologous domain of RPGR | 1998 | 1 |
About J.W. Becker
J.W. Becker is a scholar working on Molecular Biology, Immunology, Materials Chemistry, Organic Chemistry and Oncology, having authored 16 papers that have together received 1.3k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (8 papers), Signaling Pathways in Disease (4 papers), Toxin Mechanisms and Immunotoxins (4 papers), Enzyme Structure and Function (3 papers), Peptidase Inhibition and Analysis (2 papers), Protein Structure and Dynamics (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Polysaccharides and Plant Cell Walls (1 paper). The work is most often cited by research in Molecular Biology (1.1k citations), Immunology (255 citations), Biotechnology (73 citations), Immunology and Allergy (47 citations) and Cell Biology (117 citations). J.W. Becker has collaborated with scholars based in United States, Netherlands and France. Frequent co-authors include George N. Reeke, Gerald M. Edelman, Bruce A. Cunningham, A I Marcy, J. Rotonda, Hak‐Kim Chan, Jonathan J. Burbaum, H P Erickson, S Hoffman and John J. Hemperly. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Journal of Biomolecular NMR, Nature and Current topics in microbiology and immunology.
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.