L.M. Kemp
Impact in
- Cancer Research top 5%
- Carcinogens and Genotoxicity Assessment
- Molecular Biology top 10%
- DNA Repair Mechanisms
- CRISPR and Genetic Engineering
- DNA and Nucleic Acid Chemistry
Papers in
- Epidemiology 17
- Herpesvirus Infections and Treatments 17
- Genetics 14
- Virus-based gene therapy research 14
- Co-authors
- Penny A. Jeggo (4 shared papers)Steven G. Sedgwick (1 shared paper)D.S. Latchman (15 shared papers)Carolyn L. Dent (3 shared papers)R. Holliday (1 shared paper)N B La Thangue (2 shared papers)David S. Latchman (2 shared papers)Woon Ling Chan (1 shared paper)
- Journals
- Nucleic Acids Research (4 papers)Virology (2 papers)Molecular and Cellular Biology (2 papers)Journal of Leukocyte Biology (1 paper)Biochimie (1 paper)
- Partner nations
- United KingdomTanzaniaUnited States
In The Last Decade
L.M. Kemp
20 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 70
- Cancer Research 331
- Molecular Biology 788
- Virology 46
- Epidemiology 278
- Radiology, Nuclear Medicine and Imaging 157
Countries citing papers authored by L.M. Kemp
This map shows the geographic impact of L.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 L.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 L.M. Kemp more than expected).
Fields of papers citing papers by L.M. Kemp
This network shows the impact of papers produced by L.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 L.M. Kemp. The network helps show where L.M. Kemp may publish in the future.
Co-authors
The 20 scholars most cited alongside L.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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1984 | 338 | |
| 2 | 1983 | 305 | |
| 3 | 1990 | 98 | |
| 4 | 1986 | 82 | |
| 5 | 1982 | 45 | |
| 6 | 1986 | 38 | |
| 7 | 1987 | 38 | |
| 8 | 1986 | 28 | |
| 9 | 1989 | 25 | |
| 10 | 1988 | 24 | |
| 11 | 1988 | 24 | |
| 12 | 1990 | 21 | |
| 13 | 1986 | 15 | |
| 14 | 1989 | 13 | |
| 15 | 1989 | 12 | |
| 16 | 1990 | 6 | |
| 17 | 1990 | 6 | |
| 18 | 1990 | 5 | |
| 19 | 1990 | 3 | |
| 20 | 1990 | 2 |
About L.M. Kemp
L.M. Kemp is a scholar working on Epidemiology, Genetics, Molecular Biology, Immunology and Cardiology and Cardiovascular Medicine, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (17 papers), Virus-based gene therapy research (14 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers), Toxin Mechanisms and Immunotoxins (5 papers), Viral Infections and Immunology Research (4 papers), RNA regulation and disease (3 papers), DNA Repair Mechanisms (2 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Cancer Research (331 citations), Molecular Biology (788 citations), Virology (46 citations), Epidemiology (278 citations) and Radiology, Nuclear Medicine and Imaging (157 citations). L.M. Kemp has collaborated with scholars based in United Kingdom, Tanzania and United States. Frequent co-authors include Penny A. Jeggo, Steven G. Sedgwick, D.S. Latchman, Carolyn L. Dent, R. Holliday, N B La Thangue, David S. Latchman, Woon Ling Chan, R. Patel and P M Brickell. Their work appears in journals such as Nucleic Acids Research, Virology, Molecular and Cellular Biology, Journal of Leukocyte Biology and Biochimie.
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.