Daniel C. Kemp
Impact in
- Pharmacology top 5%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
- Transplantation top 10%
- Renal Transplantation Outcomes and Treatments
Papers in
-
- Glutathione Transferases and Polymorphisms 1
- Oncology 3
- Drug Transport and Resistance Mechanisms 3
- Co-authors
- Peter W. Fan (1 shared paper)Jeffrey Stevens (1 shared paper)Kim L. R. Brouwer (1 shared paper)Alastair Morrison (1 shared paper)Naveen Bojjireddy (1 shared paper)Steve Wilson (1 shared paper)Richard A. Peterson (1 shared paper)Gerald Hammond (1 shared paper)
- Journals
- Toxicology and Applied Pharmacology (2 papers)Toxicological Sciences (1 paper)Journal of Biological Chemistry (1 paper)Mathematische Annalen (1 paper)Bioanalysis (1 paper)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Daniel C. Kemp
11 papers receiving 479 citations
Peers
Comparison fields: 5 of 82
- Pharmacology 133
- Transplantation 40
- Physiology 27
- Cell Biology 77
- Oncology 124
Countries citing papers authored by Daniel C. Kemp
This map shows the geographic impact of Daniel C. 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 C. 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 C. Kemp more than expected).
Fields of papers citing papers by Daniel C. Kemp
This network shows the impact of papers produced by Daniel C. 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 C. Kemp. The network helps show where Daniel C. Kemp may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel C. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 152 | |
| 2 | 2014 | 132 | |
| 3 | 2004 | 55 | |
| 4 | 2001 | 42 | |
| 5 | 2004 | 32 | |
| 6 | 2011 | 28 | |
| 7 | 2017 | 16 | |
| 8 | 2015 | 13 | |
| 9 | 2013 | 10 | |
| 10 | 1975 | 5 | |
| 11 | 2021 | 3 |
About Daniel C. Kemp
Daniel C. Kemp is a scholar working on Molecular Biology, Oncology, Physiology, Pediatrics, Perinatology and Child Health and Pharmacology, having authored 11 papers that have together received 488 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (3 papers), Pharmacological Effects and Toxicity Studies (2 papers), Carcinogens and Genotoxicity Assessment (2 papers), Glutathione Transferases and Polymorphisms (1 paper), Bipolar Disorder and Treatment (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Animal testing and alternatives (1 paper) and Pharmacogenetics and Drug Metabolism (1 paper). The work is most often cited by research in Pharmacology (133 citations), Transplantation (40 citations), Physiology (27 citations), Cell Biology (77 citations) and Oncology (124 citations). Daniel C. Kemp has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Peter W. Fan, Jeffrey Stevens, Kim L. R. Brouwer, Alastair Morrison, Naveen Bojjireddy, Steve Wilson, Richard A. Peterson, Gerald Hammond, Chris B. Moore and Tamás Balla. Their work appears in journals such as Toxicology and Applied Pharmacology, Toxicological Sciences, Journal of Biological Chemistry, Mathematische Annalen and Bioanalysis.
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.