Peter R. Shepherd
Impact in
- Molecular Biology top 0.5%
- PI3K/AKT/mTOR signaling in cancer
- Metabolism, Diabetes, and Cancer
- Protein Kinase Regulation and GTPase Signaling
- Physiology top 0.5%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
Papers in
-
- PI3K/AKT/mTOR signaling in cancer 63
- Metabolism, Diabetes, and Cancer 60
- Protein Kinase Regulation and GTPase Signaling 43
- Wnt/β-catenin signaling in development and cancer 13
- Genetics 19
- Chronic Lymphocytic Leukemia Research 18
- Co-authors
- Barbara B. KahnDominic J. WithersKenneth SiddleB. NaveD. Margriet OuwensDario R. AlessiScott MenardLuigi Gnudi
- Journals
- Biochemical Journal (26 papers)Journal of Biological Chemistry (14 papers)Biochemical Society Transactions (9 papers)Biochemical and Biophysical Research Communications (8 papers)Diabetologia (7 papers)
- Partner nations
- New ZealandUnited KingdomAustralia
In The Last Decade
Peter R. Shepherd
176 papers receiving 10.3k citations
Hit Papers
Peers
Comparison fields: 5 of 171
- Molecular Biology 6.7k
- Physiology 2.4k
- Endocrine and Autonomic Systems 598
- Cell Biology 1.3k
- Endocrinology, Diabetes and Metabolism 1.0k
Countries citing papers authored by Peter R. Shepherd
This map shows the geographic impact of Peter R. Shepherd'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 Peter R. Shepherd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter R. Shepherd more than expected).
Fields of papers citing papers by Peter R. Shepherd
This network shows the impact of papers produced by Peter R. Shepherd. 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 Peter R. Shepherd. The network helps show where Peter R. Shepherd may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Peter R. Shepherd, 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 | 2024 | 1 | |
| 2 | 2023 | 3 | |
| 3 | 2023 | 8 | |
| 4 | 2022 | 7 | |
| 5 | 2021 | 11 | |
| 6 | 2021 | 2 | |
| 7 | 2021 | 11 | |
| 8 | 2021 | 6 | |
| 9 | 2021 | 1 | |
| 10 | 2020 | 4 | |
| 11 | 2020 | 7 | |
| 12 | 2020 | 28 | |
| 13 | 2018 | 78 | |
| 14 | 2011 | 30 | |
| 15 | 2009 | 6 | |
| 16 | 2006 | 53 | |
| 17 | 1999 | 114 | |
| 18 | 1997 | 50 | |
| 19 | 1997 | 64 | |
| 20 | 1996 | 53 |
About Peter R. Shepherd
Peter R. Shepherd is a scholar working on Molecular Biology, Genetics, Aging, Endocrine and Autonomic Systems and Cell Biology, having authored 181 papers that have together received 10.5k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (63 papers), Metabolism, Diabetes, and Cancer (60 papers), Protein Kinase Regulation and GTPase Signaling (43 papers), Pancreatic function and diabetes (35 papers), Chronic Lymphocytic Leukemia Research (18 papers), Adipose Tissue and Metabolism (13 papers), Wnt/β-catenin signaling in development and cancer (13 papers) and Regulation of Appetite and Obesity (11 papers). The work is most often cited by research in Molecular Biology (6.7k citations), Physiology (2.4k citations), Endocrine and Autonomic Systems (598 citations), Cell Biology (1.3k citations) and Endocrinology, Diabetes and Metabolism (1.0k citations). Peter R. Shepherd has collaborated with scholars based in New Zealand, United Kingdom and Australia. Frequent co-authors include Barbara B. Kahn, Dominic J. Withers, Kenneth Siddle, B. Nave, D. Margriet Ouwens, Dario R. Alessi, Scott Menard, Luigi Gnudi, Effie Tozzo and Jørgen Jensen. Their work appears in journals such as Biochemical Journal, Journal of Biological Chemistry, Biochemical Society Transactions, Biochemical and Biophysical Research Communications and Diabetologia.
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.