Ian M. Varndell
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 10%
- Physiology top 2%
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- J. M. PolakStephen R. BloomJulia M. PolakJohn WhartonPaul W. SheppardS. GulbenkianJohan De MeyFélix J. Tapia
- Topics
- Neuropeptides and Animal Physiology (19 papers)Receptor Mechanisms and Signaling (8 papers)Pancreatic function and diabetes (7 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
Ian M. Varndell
46 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 111
- Cellular and Molecular Neuroscience 1.3k
- Molecular Biology 1.1k
- Physiology 877
- Surgery 498
- Endocrinology, Diabetes and Metabolism 372
Countries citing papers authored by Ian M. Varndell
This map shows the geographic impact of Ian M. Varndell'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 Ian M. Varndell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ian M. Varndell more than expected).
Fields of papers citing papers by Ian M. Varndell
This network shows the impact of papers produced by Ian M. Varndell. 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 Ian M. Varndell. The network helps show where Ian M. Varndell may publish in the future.
Co-authorship network of co-authors of Ian M. Varndell
This figure shows the co-authorship network connecting the top 25 collaborators of Ian M. Varndell. A scholar is included among the top collaborators of Ian M. Varndell 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 Ian M. Varndell. Ian M. Varndell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 186 | |
| 3 | 22 | |
| 4 | 98 | |
| 5 | 33 | |
| 6 | 28 | |
| 7 | 38 | |
| 8 | The production and characterisation of monoclonal antibodies to myc, c-erbB-2 and EFG-receptor using a synthetic peptide approach. | 5 |
| 9 | 40 | |
| 10 | 6 | |
| 11 | 15 | |
| 12 | 18 | |
| 13 | 4 | |
| 14 | 11 | |
| 15 | 2 | |
| 16 | 107 | |
| 17 | 15 | |
| 18 | 52 | |
| 19 | 13 | |
| 20 | 6 |
About Ian M. Varndell
Ian M. Varndell is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Endocrinology, Diabetes and Metabolism, having authored 48 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (19 papers), Receptor Mechanisms and Signaling (8 papers) and Pancreatic function and diabetes (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Endocrine and Autonomic Systems (276 citations) and Physiology (877 citations). Ian M. Varndell has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include J. M. Polak, Stephen R. Bloom, Julia M. Polak, John Wharton, Paul W. Sheppard, S. Gulbenkian, Johan De Mey, Félix J. Tapia, Giorgio Terenghi and Brian H. Anderton. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.
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.