Lesley V. Campbell
- Physiology top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Epidemiology top 1%
- Molecular Biology top 5%
- Surgery top 2%
- Co-authors
- Donald J. ChisholmA. B. JenkinsLeonie K. HeilbronnJerry R. GreenfieldKatherine SamarasJulian N. TrollorEvelyn SmithLeonard H Storlien
- Topics
- Adipose Tissue and Metabolism (31 papers)Diet and metabolism studies (27 papers)Diabetes Management and Research (27 papers)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Lesley V. Campbell
174 papers receiving 8.1k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Physiology 3.1k
- Endocrinology, Diabetes and Metabolism 2.3k
- Epidemiology 1.9k
- Molecular Biology 1.4k
- Surgery 1.1k
Countries citing papers authored by Lesley V. Campbell
This map shows the geographic impact of Lesley V. Campbell'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 Lesley V. Campbell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lesley V. Campbell more than expected).
Fields of papers citing papers by Lesley V. Campbell
This network shows the impact of papers produced by Lesley V. Campbell. 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 Lesley V. Campbell. The network helps show where Lesley V. Campbell may publish in the future.
Co-authorship network of co-authors of Lesley V. Campbell
This figure shows the co-authorship network connecting the top 25 collaborators of Lesley V. Campbell. A scholar is included among the top collaborators of Lesley V. Campbell 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 Lesley V. Campbell. Lesley V. Campbell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 14 | |
| 3 | 32 | |
| 4 | 7 | |
| 5 | Snord116 is critical in the regulation of food intake and body weight | 4 |
| 6 | 22 | |
| 7 | 12 | |
| 8 | Behavioural characteristics of the Prader–Willi syndrome related biallelic Snord116 mouse model | 3 |
| 9 | 9 | |
| 10 | 21 | |
| 11 | 2 | |
| 12 | 14 | |
| 13 | 49 | |
| 14 | 21 | |
| 15 | 7 | |
| 16 | 77 | |
| 17 | 35 | |
| 18 | 66 | |
| 19 | 38 | |
| 20 | 64 |
About Lesley V. Campbell
Lesley V. Campbell is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Endocrine and Autonomic Systems, having authored 175 papers that have together received 8.4k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (31 papers), Diet and metabolism studies (27 papers) and Diabetes Management and Research (27 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.3k citations), Physiology (3.1k citations) and Endocrine and Autonomic Systems (636 citations). Lesley V. Campbell has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Donald J. Chisholm, A. B. Jenkins, Leonie K. Heilbronn, Jerry R. Greenfield, Katherine Samaras, Julian N. Trollor, Evelyn Smith, Leonard H Storlien, Mark Borkman and David Pan. Their work appears in journals such as New England Journal of Medicine, The Lancet and Circulation.
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.