Janice M. Kerr
- Microbiology top 1%
- Organic Chemistry top 2%
- Molecular Biology top 5%
- Chemical Synthesis and Analysis 9
- Glycosylation and Glycoproteins Research 3
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- Monoclonal and Polyclonal Antibodies Research 6
- Radiopharmaceutical Chemistry and Applications 3
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- Pituitary Gland Disorders and Treatments 16
- Growth Hormone and Insulin-like Growth Factors 11
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- Adrenal and Paraganglionic Tumors 4
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- Neuroendocrine Tumor Research Advances 3
- Co-authors
- Ronald N. ZuckermannWalter H. MoosStephen B. H. KentReyna J. SimonSusan M. MillerSimon NgSteven C. BanvilleMichael A. Siani
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of the American Chemical Society (2 papers)Journal of Molecular Biology (1 paper)
- Partner nations
- United StatesDenmarkNetherlands
In The Last Decade
Janice M. Kerr
36 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Microbiology 366
- Organic Chemistry 928
- Molecular Biology 2.1k
- Radiology, Nuclear Medicine and Imaging 520
- Endocrinology, Diabetes and Metabolism 361
Countries citing papers authored by Janice M. Kerr
This map shows the geographic impact of Janice M. Kerr'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 Janice M. Kerr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janice M. Kerr more than expected).
Fields of papers citing papers by Janice M. Kerr
This network shows the impact of papers produced by Janice M. Kerr. 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 Janice M. Kerr. The network helps show where Janice M. Kerr may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Janice M. Kerr, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2021 | 44 | |
| 6 | 2020 | 1 | |
| 7 | 2018 | 30 | |
| 8 | 2015 | 44 | |
| 9 | 2012 | 22 | |
| 10 | 2010 | 17 | |
| 11 | 2008 | 12 | |
| 12 | 2005 | 11 | |
| 13 | 2005 | 14 | |
| 14 | 1995 | 360 | |
| 15 | 1994 | 293 | |
| 16 | 1993 | 12 | |
| 17 | 1992 | 67 | |
| 18 | 1992 | 52 | |
| 19 | 1991 | 24 | |
| 20 | 1991 | 1 |
About Janice M. Kerr
Janice M. Kerr is a scholar working on Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 37 papers that have together received 2.8k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (16 papers), Growth Hormone and Insulin-like Growth Factors (11 papers), Chemical Synthesis and Analysis (9 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Adrenal and Paraganglionic Tumors (4 papers), Radiopharmaceutical Chemistry and Applications (3 papers), Neuroendocrine Tumor Research Advances (3 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Microbiology (366 citations), Organic Chemistry (928 citations) and Molecular Biology (2.1k citations). Janice M. Kerr has collaborated with scholars based in United States, Denmark and Netherlands. Frequent co-authors include Ronald N. Zuckermann, Walter H. Moos, Stephen B. H. Kent, Reyna J. Simon, Susan M. Miller, Simon Ng, Steven C. Banville, Michael A. Siani, Bette K. Kleinschmidt‐DeMasters and Kevin O. Lillehei. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Molecular Biology.
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.