Peter 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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- Protein purification and stability 3
- TGF-β signaling in diseases 3
- Glycosylation and Glycoproteins Research 2
- Renal and related cancers 1
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- Monoclonal and Polyclonal Antibodies Research 4
- Co-authors
- William D. Carlson (5 shared papers)T. Kuber Sampath (1 shared paper)Diana L. Griffith (1 shared paper)David C. Rueger (1 shared paper)James S. Huston (3 shared papers)Hermann Oppermann (3 shared papers)Mei-Sheng Tai (3 shared papers)John E. McCartney (3 shared papers)
- Journals
- Biophysical Journal (2 papers)JACC Basic to Translational Science (1 paper)Frontiers in Pharmacology (1 paper)Nature Medicine (1 paper)Frontiers in Cardiovascular Medicine (1 paper)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Peter Keck
10 papers receiving 661 citations
Peers
Comparison fields: 5 of 77
- Nephrology 106
- Radiology, Nuclear Medicine and Imaging 168
- Molecular Biology 449
- Rheumatology 58
- Immunology and Allergy 19
Countries citing papers authored by Peter Keck
This map shows the geographic impact of Peter 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 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 Keck more than expected).
Fields of papers citing papers by Peter Keck
This network shows the impact of papers produced by Peter 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 Keck. The network helps show where Peter Keck may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter 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 | 260 | |
| 2 | 2012 | 192 | |
| 3 | 1993 | 146 | |
| 4 | 2020 | 23 | |
| 5 | 1993 | 22 | |
| 6 | 1995 | 14 | |
| 7 | 2022 | 13 | |
| 8 | 1996 | 12 | |
| 9 | 1986 | 10 | |
| 10 | 2025 | 2 |
About Peter Keck
Peter Keck is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Surgery, Nephrology and Rheumatology, having authored 10 papers that have together received 694 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (4 papers), Protein purification and stability (3 papers), TGF-β signaling in diseases (3 papers), Glycosylation and Glycoproteins Research (2 papers), Chronic Kidney Disease and Diabetes (1 paper), Bone and Dental Protein Studies (1 paper), Growth Hormone and Insulin-like Growth Factors (1 paper) and Renal and related cancers (1 paper). The work is most often cited by research in Nephrology (106 citations), Radiology, Nuclear Medicine and Imaging (168 citations), Molecular Biology (449 citations), Rheumatology (58 citations) and Immunology and Allergy (19 citations). Peter Keck has collaborated with scholars based in United States, France and Germany. Frequent co-authors include William D. Carlson, T. Kuber Sampath, Diana L. Griffith, David C. Rueger, James S. Huston, Hermann Oppermann, Mei-Sheng Tai, John E. McCartney, Dattatreyamurty Bosukonda and Donald Jin. Their work appears in journals such as Biophysical Journal, JACC Basic to Translational Science, Frontiers in Pharmacology, Nature Medicine and Frontiers in Cardiovascular Medicine.
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.