William H. Habig
- Molecular Biology top 0.5%
- Health, Toxicology and Mutagenesis top 0.05%
- Plant Science top 0.2%
- Pharmacology top 0.02%
- Nutrition and Dietetics top 0.2%
- Co-authors
- William B. JakobyM. PabstIrwin M. AriasJeanne N. KetleyG FleischnerZenaida GatmaitanCarol J. MarcusKazuaki KAMISAKA
- Topics
- Glutathione Transferases and Polymorphisms (12 papers)Genomics, phytochemicals, and oxidative stress (7 papers)Botulinum Toxin and Related Neurological Disorders (7 papers)
- 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
- Molecular Biology 8.8k
- Health, Toxicology and Mutagenesis 4.7k
- Plant Science 3.9k
- Pharmacology 3.4k
- Nutrition and Dietetics 2.1k
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 of co-authors of William H. Habig
This figure shows the co-authorship network connecting the top 25 collaborators of William H. Habig. A scholar is included among the top collaborators of William H. Habig based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with William H. Habig. William H. Habig is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 13 | |
| 3 | 4 | |
| 4 | The effects of interleukin 2 and alpha-interferon administration on hepatic drug metabolism in mice. | 21 |
| 5 | 9 | |
| 6 | 9 | |
| 7 | 45 | |
| 8 | 9 | |
| 9 | [51] Assays for differentiation of glutathione S-Transferasesbreakdown → | 2130 |
| 10 | [27] Glutathione S-transferases (rat and human)breakdown → | 376 |
| 11 | 8 | |
| 12 | 57 | |
| 13 | 192 | |
| 14 | 188 | |
| 15 | 16 | |
| 16 | 314 | |
| 17 | Glutathione S-Transferasesbreakdown → | 16380 |
| 18 | 44 | |
| 19 | 79 | |
| 20 | 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) and Botulinum Toxin and Related Neurological Disorders (7 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. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.