Daniel M. Kemp
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Diabetes and associated disorders
- Genetic Associations and Epidemiology
Papers in
-
- Receptor Mechanisms and Signaling 4
- Pluripotent Stem Cells Research 3
- Metabolism, Diabetes, and Cancer 3
- Surgery 12
- Pancreatic function and diabetes 9
- Co-authors
- Joel F. Habener (8 shared papers)Melissa K. Thomas (2 shared papers)Mariano Ubeda (3 shared papers)Penelope A. Kosinski (6 shared papers)Gung‐Wei Chirn (2 shared papers)Stephen J. Elliman (4 shared papers)Danielle M. Greenawalt (5 shared papers)Lee M. Kaplan (4 shared papers)
- Journals
- Endocrinology (4 papers)Biochemical and Biophysical Research Communications (3 papers)Journal of Biological Chemistry (3 papers)Reviews in Endocrine and Metabolic Disorders (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Daniel M. Kemp
31 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 98
- Endocrine and Autonomic Systems 106
- Genetics 146
- Surgery 518
- Endocrinology, Diabetes and Metabolism 194
- Genetics 327
Countries citing papers authored by Daniel M. Kemp
This map shows the geographic impact of Daniel M. Kemp'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 Daniel M. Kemp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel M. Kemp more than expected).
Fields of papers citing papers by Daniel M. Kemp
This network shows the impact of papers produced by Daniel M. Kemp. 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 Daniel M. Kemp. The network helps show where Daniel M. Kemp may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel M. Kemp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 316 | |
| 2 | 2006 | 128 | |
| 3 | 2002 | 107 | |
| 4 | 2011 | 99 | |
| 5 | 2005 | 98 | |
| 6 | 2009 | 85 | |
| 7 | 2004 | 65 | |
| 8 | 2012 | 57 | |
| 9 | 2006 | 57 | |
| 10 | 2005 | 56 | |
| 11 | 2012 | 47 | |
| 12 | 2017 | 43 | |
| 13 | 2012 | 42 | |
| 14 | 1966 | 42 | |
| 15 | 2001 | 30 | |
| 16 | 2005 | 29 | |
| 17 | 2003 | 24 | |
| 18 | 2003 | 24 | |
| 19 | 2005 | 20 | |
| 20 | 2002 | 14 |
About Daniel M. Kemp
Daniel M. Kemp is a scholar working on Molecular Biology, Surgery, Genetics, Physiology and Endocrinology, Diabetes and Metabolism, having authored 32 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (9 papers), Diabetes Treatment and Management (4 papers), Receptor Mechanisms and Signaling (4 papers), Adipose Tissue and Metabolism (4 papers), Genetic Associations and Epidemiology (4 papers), Genetics and Neurodevelopmental Disorders (3 papers), Pluripotent Stem Cells Research (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (106 citations), Genetics (146 citations), Surgery (518 citations), Endocrinology, Diabetes and Metabolism (194 citations) and Genetics (327 citations). Daniel M. Kemp has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Joel F. Habener, Melissa K. Thomas, Mariano Ubeda, Penelope A. Kosinski, Gung‐Wei Chirn, Stephen J. Elliman, Danielle M. Greenawalt, Lee M. Kaplan, Radu Dobrin and Eric E. Schadt. Their work appears in journals such as Endocrinology, Biochemical and Biophysical Research Communications, Journal of Biological Chemistry, Reviews in Endocrine and Metabolic Disorders and PLoS ONE.
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.