Richard Glynne
- Molecular Biology top 5%
- Immunology top 2%
- Genetics top 5%
- Epidemiology top 10%
- Oncology top 10%
- Co-authors
- John TrowsdaleStephan BeckStephen H. PowisChristopher C. GoodnowL A KerrAdrian KellyElizabeth RadleyNancy A. Hong
- Topics
- Pancreatic function and diabetes (6 papers)Diabetes and associated disorders (5 papers)Glycosylation and Glycoproteins Research (4 papers)
- Cited by
- ImmunologyGeneticsMolecular Biology
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Richard Glynne
36 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 116
- Molecular Biology 1.4k
- Immunology 926
- Genetics 664
- Epidemiology 358
- Oncology 326
Countries citing papers authored by Richard Glynne
This map shows the geographic impact of Richard Glynne'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 Richard Glynne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Glynne more than expected).
Fields of papers citing papers by Richard Glynne
This network shows the impact of papers produced by Richard Glynne. 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 Richard Glynne. The network helps show where Richard Glynne may publish in the future.
Co-authorship network of co-authors of Richard Glynne
This figure shows the co-authorship network connecting the top 25 collaborators of Richard Glynne. A scholar is included among the top collaborators of Richard Glynne based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Richard Glynne. Richard Glynne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 43 | |
| 3 | 9 | |
| 4 | 23 | |
| 5 | 14 | |
| 6 | 34 | |
| 7 | 34 | |
| 8 | A Rapid, Sensitive, Medium-Throughput Assay for Quantitation of Ocular A2E And Visual Cycle Retinoids | 1 |
| 9 | 58 | |
| 10 | 6 | |
| 11 | 135 | |
| 12 | 94 | |
| 13 | 5 | |
| 14 | 84 | |
| 15 | 5 | |
| 16 | 23 | |
| 17 | 21 | |
| 18 | 7 | |
| 19 | 35 | |
| 20 | 309 |
About Richard Glynne
Richard Glynne is a scholar working on Genetics, Immunology and Molecular Biology, having authored 37 papers that have together received 2.7k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (6 papers), Diabetes and associated disorders (5 papers) and Glycosylation and Glycoproteins Research (4 papers). The work is most often cited by research in Immunology (926 citations), Genetics (664 citations) and Molecular Biology (1.4k citations). Richard Glynne has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include John Trowsdale, Stephan Beck, Stephen H. Powis, Christopher C. Goodnow, L A Kerr, Adrian Kelly, Adrian Kelly, Elizabeth Radley, Nancy A. Hong and Keats Nelms. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.