Martha V. Martin
- Pharmacology top 0.05%
- Pharmacogenetics and Drug Metabolism 29
- Biochemistry top 1%
- Eicosanoids and Hypertension Pharmacology 6
- Oncology top 5%
- Drug Transport and Resistance Mechanisms 10
- Cancer Treatment and Pharmacology 3
- Cancer Research top 5%
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders 3
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- Metabolomics and Mass Spectrometry Studies 8
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- Analytical Chemistry and Chromatography 6
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- Computational Drug Discovery Methods 4
- Co-authors
- F. Peter GuengerichGhazi A. DannanStephen WrightLaurence S. KaminskyQian ChengChristal D. SohlTsutomu ShimadaHiroshi Yamazaki
- Cited by
- PharmacologyBiochemistryOncology
- Journals
- Journal of Biological Chemistry (8 papers)Biochemistry (5 papers)Chemical Research in Toxicology (5 papers)
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
Martha V. Martin
36 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Pharmacology 1.9k
- Biochemistry 302
- Oncology 780
- Cancer Research 312
- Clinical Biochemistry 113
Countries citing papers authored by Martha V. Martin
This map shows the geographic impact of Martha V. Martin'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 Martha V. Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martha V. Martin more than expected).
Fields of papers citing papers by Martha V. Martin
This network shows the impact of papers produced by Martha V. Martin. 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 Martha V. Martin. The network helps show where Martha V. Martin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martha V. Martin, 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 | 2024 | 1 | |
| 2 | 2024 | 11 | |
| 3 | 2024 | 8 | |
| 4 | 2013 | 34 | |
| 5 | 2011 | 48 | |
| 6 | 2011 | 32 | |
| 7 | 2009 | 321 | |
| 8 | 2009 | 16 | |
| 9 | 2009 | 26 | |
| 10 | 2008 | 62 | |
| 11 | 2007 | 74 | |
| 12 | 2007 | 27 | |
| 13 | 2006 | 73 | |
| 14 | 2004 | 79 | |
| 15 | 2003 | 5 | |
| 16 | 2001 | 74 | |
| 17 | 2001 | 82 | |
| 18 | 1996 | 65 | |
| 19 | 1992 | 37 | |
| 20 | 1987 | 79 |
About Martha V. Martin
Martha V. Martin is a scholar working on Pharmacology, Biochemistry and Clinical Biochemistry, having authored 36 papers that have together received 2.9k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (29 papers), Drug Transport and Resistance Mechanisms (10 papers), Metabolomics and Mass Spectrometry Studies (8 papers), Analytical Chemistry and Chromatography (6 papers), Eicosanoids and Hypertension Pharmacology (6 papers), Computational Drug Discovery Methods (4 papers), Metabolism and Genetic Disorders (3 papers) and Cancer Treatment and Pharmacology (3 papers). The work is most often cited by research in Pharmacology (1.9k citations), Biochemistry (302 citations) and Oncology (780 citations). Martha V. Martin has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include F. Peter Guengerich, Ghazi A. Dannan, Stephen Wright, Laurence S. Kaminsky, Qian Cheng, Christal D. Sohl, Tsutomu Shimada, Hiroshi Yamazaki, Imad Hanna and Katsunori Nakamura. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Chemical Research in Toxicology, Archives of Biochemistry and Biophysics and Pharmacogenetics and Genomics.
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.