Marlene E. Kyle
Impact in
- Pharmacology top 1%
- Drug-Induced Hepatotoxicity and Protection
- Biochemistry top 2%
- Antioxidant Activity and Oxidative Stress
Papers in
- Pharmacology 13
- Drug-Induced Hepatotoxicity and Protection 12
- Pharmacogenetics and Drug Metabolism 2
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- Antioxidant Activity and Oxidative Stress 3
- 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 StatesJapanItaly
In The Last Decade
Marlene E. Kyle
17 papers receiving 896 citations
Peers
Comparison fields: 5 of 74
- Pharmacology 346
- Biochemistry 180
- Toxicology 36
- Molecular Biology 323
- Biochemistry 19
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 | 204 | |
| 2 | 1987 | 165 | |
| 3 | 1989 | 115 | |
| 4 | 1988 | 88 | |
| 5 | 1988 | 88 | |
| 6 | 1989 | 47 | |
| 7 | 1988 | 38 | |
| 8 | 1988 | 34 | |
| 9 | 1990 | 33 | |
| 10 | 1991 | 32 | |
| 11 | 1985 | 27 | |
| 12 | 1988 | 18 | |
| 13 | 1990 | 17 | |
| 14 | 1991 | 17 | |
| 15 | 1989 | 11 | |
| 16 | 1986 | 10 | |
| 17 | 1986 | 6 |
About Marlene E. Kyle
Marlene E. Kyle is a scholar working on Pharmacology, Biochemistry, Nephrology, Molecular Biology and Cell Biology, having authored 17 papers that have together received 950 indexed citations. Recurring topics across this work include Drug-Induced Hepatotoxicity and Protection (12 papers), Redox biology and oxidative stress (4 papers), Antioxidant Activity and Oxidative Stress (3 papers), Pharmacogenetics and Drug Metabolism (2 papers), Mitochondrial Function and Pathology (2 papers), Acute Kidney Injury Research (2 papers), Cancer and biochemical research (1 paper) and Cellular transport and secretion (1 paper). The work is most often cited by research in Pharmacology (346 citations), Biochemistry (180 citations), Toxicology (36 citations), Molecular Biology (323 citations) and Biochemistry (19 citations). Marlene E. Kyle has collaborated with scholars based in United States, Japan and Italy. 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.