Gregory McInnes

944 citations
15 papers · 619 · h-index 12

Impact in

    • Pharmacogenetics and Drug Metabolism
  • Genetics top 10%
    • Genetic Associations and Epidemiology
    • Genomics and Rare Diseases

Papers in

    • Pharmacogenetics and Drug Metabolism 6
    • Genetic Associations and Epidemiology 5
    • Genomics and Rare Diseases 5

Gregory McInnes

15 papers receiving 613 citations

Peers

Gregory McInnes
Comparison fields: 5 of 75
  • Pharmacology 218
  • Genetics 250
  • Health Informatics 14
  • Clinical Biochemistry 9
  • Internal Medicine 4
Replace Adam Lavertu with:
Adam Lavertu United States
Ambily Sivadas India
Kjeld Schmiegelow Denmark
Fiona E. Scorgie Australia
Chia Wei Lim Singapore
Rhonda Porche-Sorbet United States
Tushar Pathare Qatar
Jennifer K. Hockings United States
Maaike van der Lee Netherlands
Tariq Abu Zaid Qatar
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Citations per field
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Adam Lavertu · 1×
Citations per year

Countries citing papers authored by Gregory McInnes

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Gregory McInnes Line = papers co-authored together Gregory McInnes links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2020134
2 201882
3 201865
4 202157
5 202150
6 202044
7 202044
8 202433
9 201823
10 202020
11 202319
12 202217
13 201912
14 201710
15 20229

About Gregory McInnes

Gregory McInnes is a scholar working on Pharmacology, Genetics, Clinical Biochemistry, Hematology and Information Systems, having authored 15 papers that have together received 619 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (6 papers), Genetic Associations and Epidemiology (5 papers), Genomics and Rare Diseases (5 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Cloud Computing and Resource Management (1 paper), Metabolism and Genetic Disorders (1 paper), Inflammasome and immune disorders (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Pharmacology (218 citations), Genetics (250 citations), Health Informatics (14 citations), Clinical Biochemistry (9 citations) and Internal Medicine (4 citations). Gregory McInnes has collaborated with scholars based in United States, Italy and India. Frequent co-authors include Russ Biagio Altman, Adam Lavertu, Michelle Whirl‐Carrillo, Katrin Sangkuhl, Teri E. Klein, Manuel A. Rivas, Christopher DeBoever, Yosuke Tanigawa, Matthew Aguirre and Yash Pershad. Their work appears in journals such as Clinical Pharmacology & Therapeutics, The American Journal of Human Genetics, Bioinformatics, Genome biology and Nature Communications.

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.

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