Mitchell Green
Impact in
- Pharmacology top 0.5%
- Pharmacogenetics and Drug Metabolism
- Drug-Induced Hepatotoxicity and Protection
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- Neonatal Health and Biochemistry
Papers in
- Surgery 2
- Pancreatic function and diabetes 2
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- Glycosylation and Glycoproteins Research 1
- Co-authors
- Thomas R. Tephly (2 shared papers)Amos Bairoch (1 shared paper)Jacques Magdalou (1 shared paper)Brian Burchell (1 shared paper)Joseph K. Ritter (1 shared paper)Ida S. Owens (1 shared paper)Harry Schachter (1 shared paper)Peter I. Mackenzie (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (1 paper)Archives of Biochemistry and Biophysics (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)Xenobiotica (1 paper)Pharmacogenetics (1 paper)
- Partner nations
- United StatesSwitzerlandAustralia
In The Last Decade
Mitchell Green
6 papers receiving 1.2k citations
Mitchell Green's Hit Papers
Peers
Comparison fields: 5 of 96
- Pharmacology 469
- Pediatrics, Perinatology and Child Health 221
- Oncology 240
- Clinical Biochemistry 62
- Molecular Biology 606
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 | 1031 |
| 2 | 2004 | 98 | |
| 3 | 1988 | 47 | |
| 4 | 1998 | 20 | |
| 5 | Certification and Safety Cases | 2010 | 14 |
| 6 | 2004 | 12 |
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 Pharmacogenetics and Drug Metabolism (2 papers), Pancreatic function and diabetes (2 papers), Analytical Chemistry and Sensors (1 paper), Glycosylation and Glycoproteins Research (1 paper), Risk and Safety Analysis (1 paper), Drug-Induced Hepatotoxicity and Protection (1 paper), Neuroscience and Neuropharmacology Research (1 paper) and Systems Engineering Methodologies and Applications (1 paper). The work is most often cited by research in Pharmacology (469 citations), Pediatrics, Perinatology and Child Health (221 citations), Oncology (240 citations), Clinical Biochemistry (62 citations) and Molecular Biology (606 citations). Mitchell Green has collaborated with scholars based in United States, Switzerland and Australia. Frequent co-authors include Thomas R. Tephly, Amos Bairoch, Jacques Magdalou, Brian Burchell, Joseph K. Ritter, Ida S. Owens, Harry Schachter, Peter I. Mackenzie, Dean W. Hum and Daniel W. Nebert. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Archives of Biochemistry and Biophysics, Methods in enzymology on CD-ROM/Methods in enzymology, Xenobiotica 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.