Scott C. Ritchie
Impact in
- Genetics top 10%
- Genetic Associations and Epidemiology
- Genetic Mapping and Diversity in Plants and Animals
Papers in
-
- Metabolomics and Mass Spectrometry Studies 4
- Bioinformatics and Genomic Networks 3
- Gut microbiota and health 2
- Genetics 9
- Genetic Associations and Epidemiology 9
- Genetic and phenotypic traits in livestock 2
- Co-authors
- Michael Inouye (19 shared papers)Kathryn E. Holt (3 shared papers)Stephen C. Watts (2 shared papers)Samuel A. Lambert (6 shared papers)John Danesh (5 shared papers)Gad Abraham (3 shared papers)Yu Xu (5 shared papers)Aoife McMahon (2 shared papers)
- Journals
- Nature Communications (3 papers)Nature Genetics (2 papers)PLoS ONE (2 papers)Circulation Genomic and Precision Medicine (2 papers)Cell Genomics (1 paper)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Scott C. Ritchie
19 papers receiving 927 citations
Scott C. Ritchie's Hit Papers
Peers
Comparison fields: 5 of 126
- Genetics 313
- Biological Psychiatry 17
- Molecular Biology 363
- Health Informatics 6
- Cancer Research 56
Countries citing papers authored by Scott C. Ritchie
This map shows the geographic impact of Scott C. Ritchie'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 Scott C. Ritchie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott C. Ritchie more than expected).
Fields of papers citing papers by Scott C. Ritchie
This network shows the impact of papers produced by Scott C. Ritchie. 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 Scott C. Ritchie. The network helps show where Scott C. Ritchie may publish in the future.
Co-authors
The 25 scholars most cited alongside Scott C. Ritchie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The Polygenic Score Catalog as an open database for reproducibility and systematic evaluation Hit paper breakdown → | 2021 | 320 |
| 2 | 2018 | 222 | |
| 3 | 2023 | 76 | |
| 4 | 2018 | 71 | |
| 5 | 2019 | 48 | |
| 6 | 2016 | 36 | |
| 7 | 2018 | 30 | |
| 8 | 2020 | 26 | |
| 9 | 2019 | 26 | |
| 10 | 2024 | 14 | |
| 11 | 2022 | 13 | |
| 12 | 2024 | 12 | |
| 13 | 2022 | 10 | |
| 14 | 2022 | 9 | |
| 15 | 2023 | 8 | |
| 16 | 2022 | 4 | |
| 17 | 2022 | 3 | |
| 18 | 2025 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 0 |
About Scott C. Ritchie
Scott C. Ritchie is a scholar working on Molecular Biology, Genetics, Cardiology and Cardiovascular Medicine, Physiology and Epidemiology, having authored 21 papers that have together received 930 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (9 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Bioinformatics and Genomic Networks (3 papers), Genetic and phenotypic traits in livestock (2 papers), T-cell and B-cell Immunology (2 papers), Cardiovascular Function and Risk Factors (2 papers), Gut microbiota and health (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Genetics (313 citations), Biological Psychiatry (17 citations), Molecular Biology (363 citations), Health Informatics (6 citations) and Cancer Research (56 citations). Scott C. Ritchie has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Michael Inouye, Kathryn E. Holt, Stephen C. Watts, Samuel A. Lambert, John Danesh, Gad Abraham, Yu Xu, Aoife McMahon, Helen Parkinson and Simon Jupp. Their work appears in journals such as Nature Communications, Nature Genetics, PLoS ONE, Circulation Genomic and Precision Medicine and Cell Genomics.
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.