William H. Habig
- Pharmacology top 0.02%
- Pharmacogenetics and Drug Metabolism 6
- Health, Toxicology and Mutagenesis top 0.05%
- Biochemistry top 0.1%
- Pollution top 0.2%
- Biochemistry top 0.5%
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- Glutathione Transferases and Polymorphisms 12
- Genomics, phytochemicals, and oxidative stress 7
- Ion channel regulation and function 5
- Glycosylation and Glycoproteins Research 3
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- Botulinum Toxin and Related Neurological Disorders 7
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- Synthesis and Characterization of Heterocyclic Compounds 5
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- Toxin Mechanisms and Immunotoxins 5
- Co-authors
- William B. JakobyM. PabstIrwin M. AriasJeanne N. KetleyG FleischnerZenaida GatmaitanCarol J. MarcusKazuaki KAMISAKA
- Partner nations
- United StatesCameroonHungary
In The Last Decade
William H. Habig
39 papers receiving 20.2k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Pharmacology 3.4k
- Health, Toxicology and Mutagenesis 4.7k
- Biochemistry 1.4k
- Pollution 2.0k
- Biochemistry 856
Countries citing papers authored by William H. Habig
This map shows the geographic impact of William H. Habig'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 William H. Habig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William H. Habig more than expected).
Fields of papers citing papers by William H. Habig
This network shows the impact of papers produced by William H. Habig. 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 William H. Habig. The network helps show where William H. Habig may publish in the future.
Co-authorship network
The 25 scholars most cited alongside William H. Habig, 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 | 1993 | 13 | |
| 2 | 1993 | 13 | |
| 3 | 1992 | 4 | |
| 4 | The effects of interleukin 2 and alpha-interferon administration on hepatic drug metabolism in mice. | 1992 | 21 |
| 5 | 1991 | 9 | |
| 6 | 1989 | 9 | |
| 7 | 1989 | 45 | |
| 8 | 1985 | 9 | |
| 9 | [51] Assays for differentiation of glutathione S-Transferasesbreakdown → | 1981 | 2130 |
| 10 | [27] Glutathione S-transferases (rat and human)breakdown → | 1981 | 376 |
| 11 | 1981 | 8 | |
| 12 | 1979 | 57 | |
| 13 | 1978 | 192 | |
| 14 | 1976 | 188 | |
| 15 | 1974 | 16 | |
| 16 | 1974 | 314 | |
| 17 | Glutathione S-Transferasesbreakdown → | 1974 | 16380 |
| 18 | 1973 | 44 | |
| 19 | 1973 | 79 | |
| 20 | 1969 | 2 |
About William H. Habig
William H. Habig is a scholar working on Pharmacology, Microbiology and Endocrinology, having authored 40 papers that have together received 21.2k indexed citations. Recurring topics across this work include Glutathione Transferases and Polymorphisms (12 papers), Genomics, phytochemicals, and oxidative stress (7 papers), Botulinum Toxin and Related Neurological Disorders (7 papers), Pharmacogenetics and Drug Metabolism (6 papers), Synthesis and Characterization of Heterocyclic Compounds (5 papers), Toxin Mechanisms and Immunotoxins (5 papers), Ion channel regulation and function (5 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Pharmacology (3.4k citations), Health, Toxicology and Mutagenesis (4.7k citations) and Biochemistry (1.4k citations). William H. Habig has collaborated with scholars based in United States, Cameroon and Hungary. Frequent co-authors include William B. Jakoby, M. Pabst, Irwin M. Arias, Jeanne N. Ketley, G Fleischner, Zenaida Gatmaitan, Carol J. Marcus, Kazuaki KAMISAKA, M. C. Hardegree and James H. Keen.
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.