Jeffrey S. Swers

719 citations
10 papers · 546 indexed · h-index 6

Impact in

Papers in

Jeffrey S. Swers

9 papers receiving 520 citations

Peers

Jeffrey S. Swers
Comparison fields: 5 of 63
  • Radiology, Nuclear Medicine and Imaging 397
  • Biotechnology 89
  • Molecular Biology 424
  • Immunology 97
  • Biophysics 16
Replace Gabriela Nagy‐Davidescu with:
Gabriela Nagy‐Davidescu Switzerland
Michael W. Traxlmayr Austria
Kip Dudgeon Australia
Michaela Gebauer Germany
О. Н. Шилова Russia
Detlef Grunow Germany
Rendall R. Strawbridge United States
Annie‐Paule Sibler France
Christelle Souriau France
Sung Kwan Yoon South Korea
Jeffrey S. Swers relative to Gabriela Nagy‐Davidescu Switzerland Gabriela Nagy‐Davidescu's profile →
Citations per field
00.5×3.0×
Gabriela Nagy‐Davidescu · 1×
Citations per year

Countries citing papers authored by Jeffrey S. Swers

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Jeffrey S. Swers Line = papers co-authored together Jeffrey S. Swers links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 20246
2 20210
3 20201
4 20102
5 20066
6 2004105
7 2003396
8 20038
9 19991
10 199921

About Jeffrey S. Swers

Jeffrey S. Swers is a scholar working on Radiology, Nuclear Medicine and Imaging, Pollution, Immunology and Allergy, Oncology and Biotechnology, having authored 10 papers that have together received 546 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), Advanced Biosensing Techniques and Applications (1 paper), Virus-based gene therapy research (1 paper), Biochemical and Structural Characterization (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (397 citations), Biotechnology (89 citations), Molecular Biology (424 citations), Immunology (97 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, James R. Coleman, Jennifer R. Cochran, Michael J. Feldhaus, Lee K. Opresko, H Wiley and Robert W. Siegel. Their work appears in journals such as Biotechnology and Bioengineering, Molecular Therapy, Journal of Clinical Oncology, Biotechnology Progress and Biochemical and Biophysical Research Communications.

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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