Mitchell Green
Impact in
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
-
- Neonatal Health and Biochemistry
Papers in
- Surgery 2
- Pancreatic function and diabetes 2
- Co-authors
- Thomas R. Tephly (2 shared papers)Daniel W. Nebert (1 shared paper)Brian Burchell (1 shared paper)Takashi Iyanagi (1 shared paper)Harry Schachter (1 shared paper)Joseph K. Ritter (1 shared paper)Keith F. Tipton (1 shared paper)Doron Lancet (1 shared paper)
- Journals
- Archives of Biochemistry and Biophysics (1 paper)Xenobiotica (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)Pharmacogenetics (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Mitchell Green
6 papers receiving 1.1k citations
Mitchell Green's Hit Papers
Peers
Comparison fields: 5 of 97
- Pharmacology 461
- Pediatrics, Perinatology and Child Health 232
- Molecular Biology 625
- Oncology 247
- Clinical Biochemistry 59
Countries citing papers authored by Mitchell Green
This map shows the geographic impact of Mitchell Green'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 Mitchell Green with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitchell Green more than expected).
Fields of papers citing papers by Mitchell Green
This network shows the impact of papers produced by Mitchell Green. 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 Mitchell Green. The network helps show where Mitchell Green may publish in the future.
Co-authors
The 25 scholars most cited alongside Mitchell Green, 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 | The UDP glycosyltransferase gene superfamily: recommended nomenclature update based on evolutionary divergence Hit paper breakdown → | 1997 | 985 |
| 2 | 2004 | 96 | |
| 3 | 1988 | 46 | |
| 4 | 1998 | 19 | |
| 5 | 2004 | 12 | |
| 6 | Certification and Safety Cases | 2010 | 11 |
About Mitchell Green
Mitchell Green is a scholar working on Surgery, Molecular Biology, Pharmacology, Organic Chemistry and Pathology and Forensic Medicine, having authored 6 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Electrochemical sensors and biosensors (1 paper), Alcohol Consumption and Health Effects (1 paper), Computational Drug Discovery Methods (1 paper), Risk and Safety Analysis (1 paper), Drug-Induced Hepatotoxicity and Protection (1 paper) and Electrochemical Analysis and Applications (1 paper). The work is most often cited by research in Pharmacology (461 citations), Pediatrics, Perinatology and Child Health (232 citations), Molecular Biology (625 citations), Oncology (247 citations) and Clinical Biochemistry (59 citations). Mitchell Green has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Thomas R. Tephly, Daniel W. Nebert, Brian Burchell, Takashi Iyanagi, Harry Schachter, Joseph K. Ritter, Keith F. Tipton, Doron Lancet, Alain Bélanger and Jayanta Roy Chowdhury. Their work appears in journals such as Archives of Biochemistry and Biophysics, Xenobiotica, Methods in enzymology on CD-ROM/Methods in enzymology, Bioorganic & Medicinal Chemistry Letters and Pharmacogenetics.
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.