Philip L. Grover
- Cancer Research top 1%
- Carcinogens and Genotoxicity Assessment 38
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- Effects and risks of endocrine disrupting chemicals 17
- Toxic Organic Pollutants Impact 10
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism 9
- Biochemistry top 2%
- Chemical Health and Safety top 5%
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- DNA Repair Mechanisms 9
- DNA and Nucleic Acid Chemistry 7
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- Free Radicals and Antioxidants 7
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- Analytical Chemistry and Chromatography 4
- Co-authors
- Peter SimsDavid H. PhillipsAlan HewerColin S. CooperEliezer HubermanCharles HeidelbergerHans MarquardtToshio Kuroki
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Biochemical and Biophysical Research Communications (5 papers)FEBS Letters (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Philip L. Grover
76 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 125
- Cancer Research 1.6k
- Health, Toxicology and Mutagenesis 788
- Pharmacology 492
- Biochemistry 242
- Chemical Health and Safety 17
Countries citing papers authored by Philip L. Grover
This map shows the geographic impact of Philip L. Grover'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 Philip L. Grover with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip L. Grover more than expected).
Fields of papers citing papers by Philip L. Grover
This network shows the impact of papers produced by Philip L. Grover. 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 Philip L. Grover. The network helps show where Philip L. Grover may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Philip L. Grover, 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 | 13 | |
| 2 | 2001 | 2 | |
| 3 | 2000 | 2 | |
| 4 | 2000 | 24 | |
| 5 | 1996 | 26 | |
| 6 | Genotoxicity of human mammary lipid. | 1996 | 44 |
| 7 | 1994 | 87 | |
| 8 | 1992 | 8 | |
| 9 | 1991 | 33 | |
| 10 | 1990 | 22 | |
| 11 | 1990 | 44 | |
| 12 | 1989 | 49 | |
| 13 | 1989 | 14 | |
| 14 | 1988 | 8 | |
| 15 | 1988 | 7 | |
| 16 | 1987 | 14 | |
| 17 | 1987 | 4 | |
| 18 | Chemical carcinogens and DNA | 1979 | 213 |
| 19 | 1978 | 27 | |
| 20 | 1971 | 155 |
About Philip L. Grover
Philip L. Grover is a scholar working on Cancer Research, Health, Toxicology and Mutagenesis and Pharmacology, having authored 76 papers that have together received 3.0k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (38 papers), Effects and risks of endocrine disrupting chemicals (17 papers), Toxic Organic Pollutants Impact (10 papers), DNA Repair Mechanisms (9 papers), Pharmacogenetics and Drug Metabolism (9 papers), DNA and Nucleic Acid Chemistry (7 papers), Free Radicals and Antioxidants (7 papers) and Analytical Chemistry and Chromatography (4 papers). The work is most often cited by research in Cancer Research (1.6k citations), Health, Toxicology and Mutagenesis (788 citations) and Pharmacology (492 citations). Philip L. Grover has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Peter Sims, David H. Phillips, Alan Hewer, Colin S. Cooper, Eliezer Huberman, Charles Heidelberger, Hans Marquardt, Toshio Kuroki, James K. Selkirk and Brian Tierney. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications and FEBS Letters.
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.