Jonathan Pham
Impact in
-
- Diabetes Treatment and Management
- Diabetes Management and Research
- Diet, Metabolism, and Disease
Papers in
- Surgery 6
- Pancreatic function and diabetes 3
-
- Receptor Mechanisms and Signaling 3
- Co-authors
- Sai P. Pydi (4 shared papers)Naoki Tanaka (4 shared papers)Jürgen Wess (3 shared papers)Takefumi Kimura (4 shared papers)Diptadip Dattaroy (2 shared papers)Lu Zhu (2 shared papers)Franz M. Matschinsky (2 shared papers)Nicolai M. Doliba (2 shared papers)
- Journals
- Liver International (2 papers)Science Advances (1 paper)The Journal of Pathology (1 paper)Hepatology Research (1 paper)The Journal of Urology (1 paper)
- Partner nations
- United StatesJapanChina
In The Last Decade
Jonathan Pham
15 papers receiving 355 citations
Peers
Comparison fields: 5 of 65
- Endocrinology, Diabetes and Metabolism 142
- Hepatology 34
- Surgery 153
- Obstetrics and Gynecology 24
- Physiology 69
Countries citing papers authored by Jonathan Pham
This map shows the geographic impact of Jonathan Pham'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 Jonathan Pham with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Pham more than expected).
Fields of papers citing papers by Jonathan Pham
This network shows the impact of papers produced by Jonathan Pham. 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 Jonathan Pham. The network helps show where Jonathan Pham may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Pham, 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 | 2019 | 116 | |
| 2 | 2012 | 39 | |
| 3 | 2021 | 34 | |
| 4 | 2018 | 32 | |
| 5 | 2020 | 30 | |
| 6 | 2019 | 26 | |
| 7 | 2017 | 25 | |
| 8 | 2006 | 17 | |
| 9 | 2020 | 17 | |
| 10 | 2022 | 9 | |
| 11 | 2020 | 7 | |
| 12 | Continuous blood glucose monitoring in insulin-treated diabetes. | 1977 | 6 |
| 13 | 2020 | 5 | |
| 14 | 2023 | 1 | |
| 15 | 2017 | 1 | |
| 16 | 2025 | 0 |
About Jonathan Pham
Jonathan Pham is a scholar working on Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 16 papers that have together received 365 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (3 papers), Receptor Mechanisms and Signaling (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Diabetes Management and Research (2 papers), Urinary Bladder and Prostate Research (2 papers), Diabetes Treatment and Management (2 papers), Liver Disease and Transplantation (2 papers) and Hepatocellular Carcinoma Treatment and Prognosis (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (142 citations), Hepatology (34 citations), Surgery (153 citations), Obstetrics and Gynecology (24 citations) and Physiology (69 citations). Jonathan Pham has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Sai P. Pydi, Naoki Tanaka, Jürgen Wess, Takefumi Kimura, Diptadip Dattaroy, Lu Zhu, Franz M. Matschinsky, Nicolai M. Doliba, Luiz F. Barella and Yinghong Cui. Their work appears in journals such as Liver International, Science Advances, The Journal of Pathology, Hepatology Research and The Journal of Urology.
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.