Scott E. Chesla
Impact in
- Immunology and Allergy top 2%
- Cell Adhesion Molecules Research
- Cell Biology top 10%
- Cellular Mechanics and Interactions
Papers in
-
- Receptor Mechanisms and Signaling 2
- Glycosylation and Glycoproteins Research 1
- Biochemical and Structural Characterization 1
-
- Monoclonal and Polyclonal Antibodies Research 5
- Co-authors
- Cheng Zhu (7 shared papers)Periasamy Selvaraj (3 shared papers)Mian Long (2 shared papers)Shanmugam Nagarajan (2 shared papers)Pierre Bongrand (1 shared paper)Paul Anderson (1 shared paper)Ping Li (1 shared paper)Jun Huang (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)Annals of Biomedical Engineering (1 paper)Biophysical Journal (1 paper)Transfusion (1 paper)PubMed (1 paper)
- Partner nations
- United StatesChinaNew Zealand
In The Last Decade
Scott E. Chesla
8 papers receiving 646 citations
Peers
Comparison fields: 5 of 70
- Immunology and Allergy 216
- Cell Biology 197
- Radiology, Nuclear Medicine and Imaging 182
- Immunology 144
- Atomic and Molecular Physics, and Optics 218
Countries citing papers authored by Scott E. Chesla
This map shows the geographic impact of Scott E. Chesla'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 Scott E. Chesla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott E. Chesla more than expected).
Fields of papers citing papers by Scott E. Chesla
This network shows the impact of papers produced by Scott E. Chesla. 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 Scott E. Chesla. The network helps show where Scott E. Chesla may publish in the future.
Co-authors
The 15 scholars most cited alongside Scott E. Chesla, 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 | 1998 | 336 | |
| 2 | 2004 | 88 | |
| 3 | 1995 | 78 | |
| 4 | 2002 | 78 | |
| 5 | 2000 | 56 | |
| 6 | 2011 | 15 | |
| 7 | 1997 | 2 | |
| 8 | The relevance of using the C3d/immunoglobulin G test in clinical intervention. | 2015 | 1 |
| 9 | 2003 | 0 |
About Scott E. Chesla
Scott E. Chesla is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Atomic and Molecular Physics, and Optics, Immunology and Allergy and Cellular and Molecular Neuroscience, having authored 9 papers that have together received 654 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Cell Adhesion Molecules Research (4 papers), Force Microscopy Techniques and Applications (4 papers), Receptor Mechanisms and Signaling (2 papers), Nanofabrication and Lithography Techniques (1 paper), Glycosylation and Glycoproteins Research (1 paper), Biochemical and Structural Characterization (1 paper) and Mechanical and Optical Resonators (1 paper). The work is most often cited by research in Immunology and Allergy (216 citations), Cell Biology (197 citations), Radiology, Nuclear Medicine and Imaging (182 citations), Immunology (144 citations) and Atomic and Molecular Physics, and Optics (218 citations). Scott E. Chesla has collaborated with scholars based in United States, China and New Zealand. Frequent co-authors include Cheng Zhu, Periasamy Selvaraj, Mian Long, Shanmugam Nagarajan, Pierre Bongrand, Paul Anderson, Ping Li, Jun Huang, Rodger P. McEver and Juan Chen. Their work appears in journals such as Journal of Biological Chemistry, Annals of Biomedical Engineering, Biophysical Journal, Transfusion and PubMed.
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.