Jeffrey S. Swers
Impact in
-
- Monoclonal and Polyclonal Antibodies Research
- Biotechnology top 10%
- Transgenic Plants and Applications
Papers in
-
- Monoclonal and Polyclonal Antibodies Research 7
-
- Glycosylation and Glycoproteins Research 1
- Protein purification and stability 1
- Fungal and yeast genetics research 1
- Co-authors
- K. Dane Wittrup (5 shared papers)Yik A. Yeung (3 shared papers)Christilyn Graff (2 shared papers)David W. Colby (2 shared papers)H Wiley (1 shared paper)Lee K. Opresko (1 shared paper)Robert W. Siegel (1 shared paper)Michael J. Feldhaus (1 shared paper)
- Journals
- Biotechnology and Bioengineering (2 papers)Biochemical and Biophysical Research Communications (1 paper)Biotechnology Progress (1 paper)Journal of Clinical Oncology (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)
- Partner nations
- United States
In The Last Decade
Jeffrey S. Swers
9 papers receiving 525 citations
Peers
Comparison fields: 5 of 64
- Radiology, Nuclear Medicine and Imaging 392
- Biotechnology 85
- Molecular Biology 416
- Immunology 94
- Biophysics 16
Countries citing papers authored by Jeffrey S. Swers
This map shows the geographic impact of Jeffrey S. Swers'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 Jeffrey S. Swers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeffrey S. Swers more than expected).
Fields of papers citing papers by Jeffrey S. Swers
This network shows the impact of papers produced by Jeffrey S. Swers. 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 Jeffrey S. Swers. The network helps show where Jeffrey S. Swers may publish in the future.
Co-authors
The 25 scholars most cited alongside Jeffrey S. Swers, 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 | 2003 | 401 | |
| 2 | 2004 | 105 | |
| 3 | 1999 | 21 | |
| 4 | 2003 | 8 | |
| 5 | 2024 | 6 | |
| 6 | 2006 | 6 | |
| 7 | 2010 | 2 | |
| 8 | 2020 | 1 | |
| 9 | 1999 | 1 | |
| 10 | 2021 | 0 |
About Jeffrey S. Swers
Jeffrey S. Swers is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Oncology, Pollution and Immunology, having authored 10 papers that have together received 551 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (7 papers), CAR-T cell therapy research (3 papers), Pesticide and Herbicide Environmental Studies (2 papers), Glycosylation and Glycoproteins Research (1 paper), Protein purification and stability (1 paper), Nanowire Synthesis and Applications (1 paper), Immunotherapy and Immune Responses (1 paper) and Fungal and yeast genetics research (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (392 citations), Biotechnology (85 citations), Molecular Biology (416 citations), Immunology (94 citations) and Biophysics (16 citations). Jeffrey S. Swers has collaborated with scholars based in United States. Frequent co-authors include K. Dane Wittrup, Yik A. Yeung, Christilyn Graff, David W. Colby, H Wiley, Lee K. Opresko, Robert W. Siegel, Michael J. Feldhaus, James R. Coleman and Jennifer R. Cochran. Their work appears in journals such as Biotechnology and Bioengineering, Biochemical and Biophysical Research Communications, Biotechnology Progress, Journal of Clinical Oncology and Methods in enzymology on CD-ROM/Methods in enzymology.
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.