Marlene E. Kyle
Impact in
- Pharmacology top 1%
- Drug-Induced Hepatotoxicity and Protection
- Pharmacogenetics and Drug Metabolism
- Biochemistry top 5%
- Sulfur Compounds in Biology
Papers in
- Pharmacology 14
- Drug-Induced Hepatotoxicity and Protection 13
- Pharmacogenetics and Drug Metabolism 4
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- Pesticide Exposure and Toxicity 5
- Co-authors
- John L. Farber (11 shared papers)Naohiko Masaki (2 shared papers)Stefania Miccadei (4 shared papers)Dai Nakae (6 shared papers)Ada Serroni (7 shared papers)Isao Sakaida (3 shared papers)Donna Gilfor (2 shared papers)J L Farber (2 shared papers)
- Journals
- Archives of Biochemistry and Biophysics (6 papers)Biochemical Pharmacology (3 papers)Chemico-Biological Interactions (2 papers)Toxicology and Applied Pharmacology (2 papers)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- United StatesItalyJapan
In The Last Decade
Marlene E. Kyle
17 papers receiving 925 citations
Peers
Comparison fields: 5 of 92
- Pharmacology 302
- Biochemistry 134
- Biochemistry 74
- Hepatology 89
- Nutrition and Dietetics 132
Countries citing papers authored by Marlene E. Kyle
This map shows the geographic impact of Marlene E. Kyle'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 Marlene E. Kyle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marlene E. Kyle more than expected).
Fields of papers citing papers by Marlene E. Kyle
This network shows the impact of papers produced by Marlene E. Kyle. 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 Marlene E. Kyle. The network helps show where Marlene E. Kyle may publish in the future.
Co-authors
The 13 scholars most cited alongside Marlene E. Kyle, 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 | 1989 | 206 | |
| 2 | 1987 | 169 | |
| 3 | 1989 | 117 | |
| 4 | 1988 | 91 | |
| 5 | 1988 | 90 | |
| 6 | 1989 | 48 | |
| 7 | 1988 | 39 | |
| 8 | 1988 | 35 | |
| 9 | 1991 | 33 | |
| 10 | 1990 | 33 | |
| 11 | 1985 | 27 | |
| 12 | 1991 | 19 | |
| 13 | 1988 | 18 | |
| 14 | 1990 | 17 | |
| 15 | 1989 | 11 | |
| 16 | 1986 | 10 | |
| 17 | 1986 | 6 |
About Marlene E. Kyle
Marlene E. Kyle is a scholar working on Pharmacology, Plant Science, Molecular Biology, Pathology and Forensic Medicine and Oncology, having authored 17 papers that have together received 969 indexed citations. Recurring topics across this work include Drug-Induced Hepatotoxicity and Protection (13 papers), Pesticide Exposure and Toxicity (5 papers), Pharmacogenetics and Drug Metabolism (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Poisoning and overdose treatments (3 papers), Alcohol Consumption and Health Effects (3 papers) and Metabolism and Genetic Disorders (2 papers). The work is most often cited by research in Pharmacology (302 citations), Biochemistry (134 citations), Biochemistry (74 citations), Hepatology (89 citations) and Nutrition and Dietetics (132 citations). Marlene E. Kyle has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include John L. Farber, Naohiko Masaki, Stefania Miccadei, Dai Nakae, Ada Serroni, Isao Sakaida, Donna Gilfor, J L Farber, James J. Kocsis and Andrew W. Harman. Their work appears in journals such as Archives of Biochemistry and Biophysics, Biochemical Pharmacology, Chemico-Biological Interactions, Toxicology and Applied Pharmacology and Biochemical and Biophysical Research Communications.
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.