Frank Waldron-Lynch
- Genetics top 5%
- Immunology top 10%
- Surgery
- Endocrinology, Diabetes and Metabolism top 5%
- Rheumatology top 10%
- Co-authors
- Kevan C. HeroldFergus ShanahanMG MolloyClaire AdamsFergal O’GaraMichael McDermottJames TooleyChristopher I. Amos
- Topics
- Diabetes and associated disorders (18 papers)T-cell and B-cell Immunology (11 papers)Diabetes Management and Research (10 papers)
- Journals
- Nature CommunicationsThe Journal of ImmunologyThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- United StatesUnited KingdomIreland
In The Last Decade
Frank Waldron-Lynch
34 papers receiving 846 citations
Peers
Comparison fields: 5 of 87
- Genetics 366
- Immunology 356
- Surgery 253
- Endocrinology, Diabetes and Metabolism 241
- Rheumatology 147
Countries citing papers authored by Frank Waldron-Lynch
This map shows the geographic impact of Frank Waldron-Lynch'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 Frank Waldron-Lynch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frank Waldron-Lynch more than expected).
Fields of papers citing papers by Frank Waldron-Lynch
This network shows the impact of papers produced by Frank Waldron-Lynch. 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 Frank Waldron-Lynch. The network helps show where Frank Waldron-Lynch may publish in the future.
Co-authorship network of co-authors of Frank Waldron-Lynch
This figure shows the co-authorship network connecting the top 25 collaborators of Frank Waldron-Lynch. A scholar is included among the top collaborators of Frank Waldron-Lynch 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 Frank Waldron-Lynch. Frank Waldron-Lynch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 1 | |
| 3 | 18 | |
| 4 | 29 | |
| 5 | 6 | |
| 6 | 13 | |
| 7 | Teplizumab treatment may improve C-peptide responses in participants with type 1 diabetes after the new-onset period: A randomized controlled trial | 0 |
| 8 | 26 | |
| 9 | 45 | |
| 10 | 12 | |
| 11 | 111 | |
| 12 | 64 | |
| 13 | 14 | |
| 14 | 27 | |
| 15 | 11 | |
| 16 | 15 | |
| 17 | 20 | |
| 18 | 65 | |
| 19 | 16 | |
| 20 | 24 |
About Frank Waldron-Lynch
Frank Waldron-Lynch is a scholar working on Immunology, Genetics and Endocrinology, Diabetes and Metabolism, having authored 35 papers that have together received 859 indexed citations. Recurring topics across this work include Diabetes and associated disorders (18 papers), T-cell and B-cell Immunology (11 papers) and Diabetes Management and Research (10 papers). The work is most often cited by research in Immunology (356 citations), Endocrinology, Diabetes and Metabolism (241 citations) and Genetics (366 citations). Frank Waldron-Lynch has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Kevan C. Herold, Fergus Shanahan, MG Molloy, Claire Adams, Fergal O’Gara, Michael McDermott, James Tooley, Christopher I. Amos, Paula Preston‐Hurlburt and Songyan Deng. Their work appears in journals such as Nature Communications, The Journal of Immunology and The Journal of Clinical Endocrinology & Metabolism.
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.