Phillip Görden
- Molecular Biology top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.1%
- Epidemiology top 0.2%
- Surgery top 0.5%
- Physiology top 0.2%
- Co-authors
- Jesse RothElaine CochranLelio OrciC. Ronald KahnSimeon I. TaylorElif A OralAlex M. DePaoliRobert S. Bar
- Topics
- Metabolism, Diabetes, and Cancer (82 papers)Pancreatic function and diabetes (73 papers)Diabetes and associated disorders (46 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Phillip Görden
285 papers receiving 18.8k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Molecular Biology 9.5k
- Endocrinology, Diabetes and Metabolism 5.7k
- Epidemiology 4.7k
- Surgery 4.6k
- Physiology 4.5k
Countries citing papers authored by Phillip Görden
This map shows the geographic impact of Phillip Görden'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 Phillip Görden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip Görden more than expected).
Fields of papers citing papers by Phillip Görden
This network shows the impact of papers produced by Phillip Görden. 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 Phillip Görden. The network helps show where Phillip Görden may publish in the future.
Co-authorship network of co-authors of Phillip Görden
This figure shows the co-authorship network connecting the top 25 collaborators of Phillip Görden. A scholar is included among the top collaborators of Phillip Görden 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 Phillip Görden. Phillip Görden is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 74 | |
| 2 | 3 | |
| 3 | 7 | |
| 4 | 25 | |
| 5 | 19 | |
| 6 | 64 | |
| 7 | 136 | |
| 8 | 12 | |
| 9 | 6 | |
| 10 | 46 | |
| 11 | 16 | |
| 12 | 187 | |
| 13 | 44 | |
| 14 | Leptin reverses insulin resistance and hepatic steatosis in patients with severe lipodystrophybreakdown → | 503 |
| 15 | 15 | |
| 16 | 16 | |
| 17 | 143 | |
| 18 | 3 | |
| 19 | Insulin receptor tyrosine kinase activity is abnormal in circulating cells and cultured fibroblasts but normal in transformed lymphocytes from a type A insulin-resistant patient. | 3 |
| 20 | 24 |
About Phillip Görden
Phillip Görden is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Molecular Biology, having authored 286 papers that have together received 20.2k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (82 papers), Pancreatic function and diabetes (73 papers) and Diabetes and associated disorders (46 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (5.7k citations), Endocrine and Autonomic Systems (1.9k citations) and Physiology (4.5k citations). Phillip Görden has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Jesse Roth, Elaine Cochran, Lelio Orci, C. Ronald Kahn, Simeon I. Taylor, Elif A Oral, Alex M. DePaoli, Robert S. Bar, Maxine A. Lesniak and George Grunberger. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.