Brian Zambrowicz
- Molecular Biology top 2%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Surgery top 2%
- Genetics top 2%
- Oncology top 5%
- Co-authors
- Arthur SandsPhilippe SorianoLeonard A. HerzenbergSteve FieringWilliam G. KerrAkira ImamotoRichard D. PalmiterGlenn A. Friedrich
- Topics
- Diabetes Treatment and Management (18 papers)Pancreatic function and diabetes (16 papers)CRISPR and Genetic Engineering (11 papers)
- Partner nations
- United StatesGermanyCzechia
In The Last Decade
Brian Zambrowicz
80 papers receiving 6.6k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Biology 3.4k
- Endocrinology, Diabetes and Metabolism 1.7k
- Surgery 1.3k
- Genetics 1.1k
- Oncology 818
Countries citing papers authored by Brian Zambrowicz
This map shows the geographic impact of Brian Zambrowicz'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 Brian Zambrowicz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian Zambrowicz more than expected).
Fields of papers citing papers by Brian Zambrowicz
This network shows the impact of papers produced by Brian Zambrowicz. 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 Brian Zambrowicz. The network helps show where Brian Zambrowicz may publish in the future.
Co-authorship network of co-authors of Brian Zambrowicz
This figure shows the co-authorship network connecting the top 25 collaborators of Brian Zambrowicz. A scholar is included among the top collaborators of Brian Zambrowicz 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 Brian Zambrowicz. Brian Zambrowicz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 18 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 79 | |
| 6 | 40 | |
| 7 | Telotristat etiprate shows benefit in treating patients With carcinoid syndrome that is inadequately controlled by somatostatin analog therapy in the phase 3 TELESTAR clinical trial | 1 |
| 8 | 44 | |
| 9 | 34 | |
| 10 | 12 | |
| 11 | 156 | |
| 12 | 65 | |
| 13 | 202 | |
| 14 | 105 | |
| 15 | 155 | |
| 16 | 41 | |
| 17 | 31 | |
| 18 | 32 | |
| 19 | 241 | |
| 20 | 36 |
About Brian Zambrowicz
Brian Zambrowicz is a scholar working on Endocrinology, Diabetes and Metabolism, Gastroenterology and Molecular Biology, having authored 82 papers that have together received 6.8k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (18 papers), Pancreatic function and diabetes (16 papers) and CRISPR and Genetic Engineering (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.7k citations), Nephrology (360 citations) and Molecular Biology (3.4k citations). Brian Zambrowicz has collaborated with scholars based in United States, Germany and Czechia. Frequent co-authors include Arthur Sands, Philippe Soriano, Leonard A. Herzenberg, Steve Fiering, William G. Kerr, Akira Imamoto, Richard D. Palmiter, Glenn A. Friedrich, Pablo Lapuerta and Gwenn M. Hansen. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.