Ira D. Goldfine
- Molecular Biology top 0.2%
- Endocrinology, Diabetes and Metabolism top 0.05%
- Surgery top 0.2%
- Physiology top 0.5%
- Cellular and Molecular Neuroscience top 0.5%
- Co-authors
- Betty A. MadduxJoseph L. EvansJohn A. WilliamsGerold M. GrodskyRiccardo VigneriRodger A. LiddleJack YoungrenAntonio Brunetti
- Topics
- Metabolism, Diabetes, and Cancer (107 papers)Pancreatic function and diabetes (88 papers)Growth Hormone and Insulin-like Growth Factors (50 papers)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Ira D. Goldfine
277 papers receiving 19.5k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Molecular Biology 10.5k
- Endocrinology, Diabetes and Metabolism 6.9k
- Surgery 4.9k
- Physiology 3.6k
- Cellular and Molecular Neuroscience 2.4k
Countries citing papers authored by Ira D. Goldfine
This map shows the geographic impact of Ira D. Goldfine'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 Ira D. Goldfine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ira D. Goldfine more than expected).
Fields of papers citing papers by Ira D. Goldfine
This network shows the impact of papers produced by Ira D. Goldfine. 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 Ira D. Goldfine. The network helps show where Ira D. Goldfine may publish in the future.
Co-authorship network of co-authors of Ira D. Goldfine
This figure shows the co-authorship network connecting the top 25 collaborators of Ira D. Goldfine. A scholar is included among the top collaborators of Ira D. Goldfine 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 Ira D. Goldfine. Ira D. Goldfine is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 50 | |
| 3 | 42 | |
| 4 | 25 | |
| 5 | 56 | |
| 6 | 46 | |
| 7 | Insulin Receptor Isoform A, a Newly Recognized, High-Affinity Insulin-Like Growth Factor II Receptor in Fetal and Cancer Cellsbreakdown → | 724 |
| 8 | 26 | |
| 9 | 38 | |
| 10 | 63 | |
| 11 | 35 | |
| 12 | 3 | |
| 13 | 37 | |
| 14 | 8 | |
| 15 | 273 | |
| 16 | 65 | |
| 17 | 24 | |
| 18 | 23 | |
| 19 | Insulin and glucagon receptors in Morris hepatomas of varying growth rates. | 18 |
| 20 | 46 |
About Ira D. Goldfine
Ira D. Goldfine is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery, having authored 279 papers that have together received 20.5k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (107 papers), Pancreatic function and diabetes (88 papers) and Growth Hormone and Insulin-like Growth Factors (50 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (6.9k citations), Molecular Biology (10.5k citations) and Physiology (3.6k citations). Ira D. Goldfine has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Betty A. Maddux, Joseph L. Evans, John A. Williams, Gerold M. Grodsky, Riccardo Vigneri, Rodger A. Liddle, Jack Youngren, Antonio Brunetti, H. Sankaran and Antonino Belfiore. Their work appears in journals such as Nature, Science and Cell.
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.