Peter C. Keck
Impact in
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
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- Monoclonal and Polyclonal Antibodies Research
Papers in
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- Monoclonal and Polyclonal Antibodies Research 4
-
- Chronic Kidney Disease and Diabetes 1
- Parathyroid Disorders and Treatments 1
- Co-authors
- William D. Carlson (5 shared papers)Diana L. Griffith (1 shared paper)T. Kuber Sampath (1 shared paper)David C. Rueger (1 shared paper)James S. Huston (3 shared papers)Mei-Sheng Tai (3 shared papers)John E. McCartney (3 shared papers)Hermann H. Oppermann (3 shared papers)
- Journals
- Biophysical Journal (2 papers)Nature Medicine (1 paper)International Reviews of Immunology (1 paper)Frontiers in Cardiovascular Medicine (1 paper)JACC Basic to Translational Science (1 paper)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Peter C. Keck
10 papers receiving 659 citations
Peers
Comparison fields: 5 of 78
- Nephrology 108
- Radiology, Nuclear Medicine and Imaging 170
- Molecular Biology 447
- Rheumatology 56
- Immunology and Allergy 19
Countries citing papers authored by Peter C. Keck
This map shows the geographic impact of Peter C. Keck'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 Peter C. Keck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter C. Keck more than expected).
Fields of papers citing papers by Peter C. Keck
This network shows the impact of papers produced by Peter C. Keck. 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 Peter C. Keck. The network helps show where Peter C. Keck may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter C. Keck, 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 | 1996 | 254 | |
| 2 | 2012 | 197 | |
| 3 | 1993 | 147 | |
| 4 | 2020 | 24 | |
| 5 | 1993 | 23 | |
| 6 | 2022 | 14 | |
| 7 | 1995 | 14 | |
| 8 | 1996 | 13 | |
| 9 | 1986 | 10 | |
| 10 | 2025 | 3 |
About Peter C. Keck
Peter C. Keck is a scholar working on Radiology, Nuclear Medicine and Imaging, Nephrology, Molecular Biology, Rheumatology and Immunology and Allergy, having authored 10 papers that have together received 699 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), TGF-β signaling in diseases (3 papers), Protein purification and stability (3 papers), Glycosylation and Glycoproteins Research (2 papers), COVID-19 Clinical Research Studies (1 paper), Cell Adhesion Molecules Research (1 paper), Chronic Kidney Disease and Diabetes (1 paper) and Parathyroid Disorders and Treatments (1 paper). The work is most often cited by research in Nephrology (108 citations), Radiology, Nuclear Medicine and Imaging (170 citations), Molecular Biology (447 citations), Rheumatology (56 citations) and Immunology and Allergy (19 citations). Peter C. Keck has collaborated with scholars based in United States, France and Germany. Frequent co-authors include William D. Carlson, Diana L. Griffith, T. Kuber Sampath, David C. Rueger, James S. Huston, Mei-Sheng Tai, John E. McCartney, Hermann H. Oppermann, Dattatreyamurty Bosukonda and Donald F. Jin. Their work appears in journals such as Biophysical Journal, Nature Medicine, International Reviews of Immunology, Frontiers in Cardiovascular Medicine and JACC Basic to Translational Science.
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.