Barry J. Goldstein
- Molecular Biology top 0.5%
- Physiology top 0.2%
- Epidemiology top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.2%
- Surgery top 0.5%
- Co-authors
- Timon W. van HaeftenMichael StümvollKalyankar MahadevXiangdong WuRosario ScaliaHiroyuki MotoshimaEiichi ArakiMorris F. White
- Topics
- Protein Tyrosine Phosphatases (34 papers)Metabolism, Diabetes, and Cancer (32 papers)Adipokines, Inflammation, and Metabolic Diseases (25 papers)
- Journals
- NatureScienceThe Lancet
- Partner nations
- United StatesJapanAustralia
In The Last Decade
Barry J. Goldstein
123 papers receiving 15.5k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Molecular Biology 6.9k
- Physiology 4.0k
- Epidemiology 3.9k
- Endocrinology, Diabetes and Metabolism 3.8k
- Surgery 3.1k
Countries citing papers authored by Barry J. Goldstein
This map shows the geographic impact of Barry J. Goldstein'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 Barry J. Goldstein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barry J. Goldstein more than expected).
Fields of papers citing papers by Barry J. Goldstein
This network shows the impact of papers produced by Barry J. Goldstein. 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 Barry J. Goldstein. The network helps show where Barry J. Goldstein may publish in the future.
Co-authorship network of co-authors of Barry J. Goldstein
This figure shows the co-authorship network connecting the top 25 collaborators of Barry J. Goldstein. A scholar is included among the top collaborators of Barry J. Goldstein 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 Barry J. Goldstein. Barry J. Goldstein is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 105 | |
| 2 | 9 | |
| 3 | 20 | |
| 4 | 118 | |
| 5 | 92 | |
| 6 | 37 | |
| 7 | 8 | |
| 8 | 391 | |
| 9 | 149 | |
| 10 | 62 | |
| 11 | 45 | |
| 12 | 25 | |
| 13 | Type 2 diabetes: principles of pathogenesis and therapybreakdown → | 1848 |
| 14 | 51 | |
| 15 | 4 | |
| 16 | 48 | |
| 17 | 108 | |
| 18 | 45 | |
| 19 | 21 | |
| 20 | 46 |
About Barry J. Goldstein
Barry J. Goldstein is a scholar working on Endocrinology, Diabetes and Metabolism, Immunology and Aging, having authored 124 papers that have together received 16.0k indexed citations. Recurring topics across this work include Protein Tyrosine Phosphatases (34 papers), Metabolism, Diabetes, and Cancer (32 papers) and Adipokines, Inflammation, and Metabolic Diseases (25 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.8k citations), Physiology (4.0k citations) and Cardiology and Cardiovascular Medicine (3.0k citations). Barry J. Goldstein has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Timon W. van Haeften, Michael Stümvoll, Kalyankar Mahadev, Xiangdong Wu, Rosario Scalia, Hiroyuki Motoshima, Eiichi Araki, Morris F. White, Faiyaz Ahmad and Li Zhu. Their work appears in journals such as Nature, Science and The Lancet.
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.