Gregory McInnes
Impact in
- Pharmacology top 2%
- Pharmacogenetics and Drug Metabolism
- Genetics top 10%
- Genetic Associations and Epidemiology
- Genomics and Rare Diseases
Papers in
- Genetics 7
- Genetic Associations and Epidemiology 5
- Genomics and Rare Diseases 4
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- Pharmacogenetics and Drug Metabolism 6
- Berberine and alkaloids research 2
- Co-authors
- Russ B. Altman (7 shared papers)Adam Lavertu (5 shared papers)Michelle Whirl‐Carrillo (3 shared papers)Katrin Sangkuhl (2 shared papers)Teri E. Klein (2 shared papers)Yosuke Tanigawa (3 shared papers)Manuel A. Rivas (3 shared papers)Sook Wah Yee (1 shared paper)
- Journals
- Bioinformatics (2 papers)Clinical Pharmacology & Therapeutics (2 papers)The American Journal of Human Genetics (2 papers)Human Molecular Genetics (1 paper)PLoS Computational Biology (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Gregory McInnes
12 papers receiving 449 citations
Peers
Comparison fields: 5 of 75
- Pharmacology 168
- Genetics 186
- Geriatrics and Gerontology 10
- Pediatrics, Perinatology and Child Health 49
- Statistics and Probability 19
Countries citing papers authored by Gregory McInnes
This map shows the geographic impact of Gregory McInnes'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 Gregory McInnes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregory McInnes more than expected).
Fields of papers citing papers by Gregory McInnes
This network shows the impact of papers produced by Gregory McInnes. 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 Gregory McInnes. The network helps show where Gregory McInnes may publish in the future.
Co-authors
The 25 scholars most cited alongside Gregory McInnes, 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 | 2020 | 111 | |
| 2 | 2018 | 63 | |
| 3 | 2021 | 50 | |
| 4 | 2018 | 44 | |
| 5 | 2021 | 44 | |
| 6 | 2020 | 40 | |
| 7 | 2020 | 30 | |
| 8 | 2018 | 23 | |
| 9 | 2020 | 17 | |
| 10 | 2022 | 13 | |
| 11 | 2022 | 10 | |
| 12 | 2017 | 8 |
About Gregory McInnes
Gregory McInnes is a scholar working on Genetics, Pharmacology, Molecular Biology, Pharmacology and Computational Theory and Mathematics, having authored 12 papers that have together received 453 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (6 papers), Genetic Associations and Epidemiology (5 papers), Genomics and Rare Diseases (4 papers), Epigenetics and DNA Methylation (2 papers), Berberine and alkaloids research (2 papers), Bioinformatics and Genomic Networks (2 papers), Computational Drug Discovery Methods (2 papers) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Pharmacology (168 citations), Genetics (186 citations), Geriatrics and Gerontology (10 citations), Pediatrics, Perinatology and Child Health (49 citations) and Statistics and Probability (19 citations). Gregory McInnes has collaborated with scholars based in United States and Italy. Frequent co-authors include Russ B. Altman, Adam Lavertu, Michelle Whirl‐Carrillo, Katrin Sangkuhl, Teri E. Klein, Yosuke Tanigawa, Manuel A. Rivas, Sook Wah Yee, Yash Pershad and Christopher DeBoever. Their work appears in journals such as Bioinformatics, Clinical Pharmacology & Therapeutics, The American Journal of Human Genetics, Human Molecular Genetics and PLoS Computational Biology.
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.