Lyle E. Pegg
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunology and Allergy top 10%
Papers in
-
- Sphingolipid Metabolism and Signaling 2
- Advanced biosensing and bioanalysis techniques 1
- Oncology 5
- Peptidase Inhibition and Analysis 3
- HER2/EGFR in Cancer Research 2
- Co-authors
- A. J. Kahn (2 shared papers)Zvi Bar‐Shavit (2 shared papers)Steven L. Teitelbaum (2 shared papers)Pieter H. Reitsma (1 shared paper)JoAnn Trial (1 shared paper)Andrew Hall (1 shared paper)Qiang Wu (2 shared papers)Yang‐Xin Fu (2 shared papers)
- Journals
- Archives of Biochemistry and Biophysics (2 papers)Proceedings of the National Academy of Sciences (2 papers)Bioscience Reports (1 paper)BMC Health Services Research (1 paper)Biotechnology and Applied Biochemistry (1 paper)
- Partner nations
- United StatesNetherlandsGermany
In The Last Decade
Lyle E. Pegg
17 papers receiving 844 citations
Peers
Comparison fields: 5 of 90
- Immunology 217
- Immunology and Allergy 54
- Pathology and Forensic Medicine 153
- Physiology 33
- Cell Biology 113
Countries citing papers authored by Lyle E. Pegg
This map shows the geographic impact of Lyle E. Pegg'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 Lyle E. Pegg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lyle E. Pegg more than expected).
Fields of papers citing papers by Lyle E. Pegg
This network shows the impact of papers produced by Lyle E. Pegg. 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 Lyle E. Pegg. The network helps show where Lyle E. Pegg may publish in the future.
Co-authors
The 25 scholars most cited alongside Lyle E. Pegg, 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 | 1983 | 348 | |
| 2 | 2010 | 181 | |
| 3 | 1999 | 105 | |
| 4 | 2005 | 55 | |
| 5 | 2001 | 52 | |
| 6 | 1984 | 27 | |
| 7 | 1996 | 21 | |
| 8 | 2008 | 16 | |
| 9 | 2012 | 13 | |
| 10 | 2001 | 12 | |
| 11 | 1982 | 12 | |
| 12 | 2010 | 9 | |
| 13 | 2017 | 8 | |
| 14 | 2009 | 7 | |
| 15 | 1995 | 4 | |
| 16 | 2005 | 2 | |
| 17 | 2003 | 1 |
About Lyle E. Pegg
Lyle E. Pegg is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Genetics and Immunology and Allergy, having authored 17 papers that have together received 873 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), Cell Adhesion Molecules Research (3 papers), Peptidase Inhibition and Analysis (3 papers), HER2/EGFR in Cancer Research (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), Sphingolipid Metabolism and Signaling (2 papers) and Advanced biosensing and bioanalysis techniques (1 paper). The work is most often cited by research in Immunology (217 citations), Immunology and Allergy (54 citations), Pathology and Forensic Medicine (153 citations), Physiology (33 citations) and Cell Biology (113 citations). Lyle E. Pegg has collaborated with scholars based in United States, Netherlands and Germany. Frequent co-authors include A. J. Kahn, Zvi Bar‐Shavit, Steven L. Teitelbaum, Pieter H. Reitsma, JoAnn Trial, Andrew Hall, Qiang Wu, Yang‐Xin Fu, Wayne M. Yokoyama and Yang Wang. Their work appears in journals such as Archives of Biochemistry and Biophysics, Proceedings of the National Academy of Sciences, Bioscience Reports, BMC Health Services Research and Biotechnology and Applied Biochemistry.
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.