B. Nave
- Molecular Biology top 5%
- Metabolism, Diabetes, and Cancer 12
- Protein Kinase Regulation and GTPase Signaling 7
- PI3K/AKT/mTOR signaling in cancer 3
- Physiology top 10%
- Adipose Tissue and Metabolism 3
- Cell Biology top 5%
- Obstetrics and Gynecology top 5%
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- Adipokines, Inflammation, and Metabolic Diseases 3
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- Pancreatic function and diabetes 3
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- Myasthenia Gravis and Thymoma 2
- Peripheral Neuropathies and Disorders 2
- Co-authors
- Peter R. ShepherdDominic J. WithersD. Margriet OuwensDario R. AlessiKenneth SiddleMaria A. SoosSusan E. OzanneE M Bailyes
- Journals
- Biochemical Society Transactions (5 papers)Biochemical Journal (4 papers)Expert Opinion on Therapeutic Targets (2 papers)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
B. Nave
27 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 103
- Molecular Biology 1.3k
- Endocrinology, Diabetes and Metabolism 284
- Physiology 364
- Cell Biology 228
- Obstetrics and Gynecology 94
Countries citing papers authored by B. Nave
This map shows the geographic impact of B. Nave'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 B. Nave with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites B. Nave more than expected).
Fields of papers citing papers by B. Nave
This network shows the impact of papers produced by B. Nave. 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 B. Nave. The network helps show where B. Nave may publish in the future.
Co-authorship network
The 25 scholars most cited alongside B. Nave, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 18 | |
| 2 | 2005 | 27 | |
| 3 | 2003 | 5 | |
| 4 | 2002 | 8 | |
| 5 | 2002 | 22 | |
| 6 | 2002 | 3 | |
| 7 | 2001 | 81 | |
| 8 | 1999 | 40 | |
| 9 | 1997 | 50 | |
| 10 | 1997 | 64 | |
| 11 | 1997 | 58 | |
| 12 | 1996 | 53 | |
| 13 | 1996 | 29 | |
| 14 | 1995 | 2 | |
| 15 | 1995 | 7 | |
| 16 | 1995 | 9 | |
| 17 | 1994 | 18 | |
| 18 | 1978 | 36 | |
| 19 | 1978 | 77 | |
| 20 | 1975 | 90 |
About B. Nave
B. Nave is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry, Molecular Biology, Neurology and Biophysics, having authored 28 papers that have together received 2.1k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (12 papers), Protein Kinase Regulation and GTPase Signaling (7 papers), Adipose Tissue and Metabolism (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Pancreatic function and diabetes (3 papers), Myasthenia Gravis and Thymoma (2 papers) and Peripheral Neuropathies and Disorders (2 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Endocrinology, Diabetes and Metabolism (284 citations), Physiology (364 citations), Cell Biology (228 citations) and Obstetrics and Gynecology (94 citations). B. Nave has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Peter R. Shepherd, Dominic J. Withers, D. Margriet Ouwens, Dario R. Alessi, Kenneth Siddle, Maria A. Soos, Susan E. Ozanne, E M Bailyes, Amanda C. Hayward and Jon Lindstrom. Their work appears in journals such as Biochemical Society Transactions, Biochemical Journal, Expert Opinion on Therapeutic Targets, American Journal of Physiology-Endocrinology and Metabolism and Advances in experimental medicine and biology.
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.