Jenifer M. Brown
- Endocrinology, Diabetes and Metabolism top 0.5%
- Surgery top 5%
- Cardiology and Cardiovascular Medicine top 2%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Anand VaidyaGordon H. WilliamsPaul N. HopkinsBrendan M. EverettMohammed SiddiquiRobert M. CareyDavid A. CalhounMelissa Magwire
- Topics
- Hormonal Regulation and Hypertension (33 papers)Adrenal and Paraganglionic Tumors (15 papers)Blood Pressure and Hypertension Studies (14 papers)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Jenifer M. Brown
56 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Endocrinology, Diabetes and Metabolism 1.4k
- Surgery 993
- Cardiology and Cardiovascular Medicine 830
- Molecular Biology 269
- Radiology, Nuclear Medicine and Imaging 258
Countries citing papers authored by Jenifer M. Brown
This map shows the geographic impact of Jenifer M. Brown'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 Jenifer M. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jenifer M. Brown more than expected).
Fields of papers citing papers by Jenifer M. Brown
This network shows the impact of papers produced by Jenifer M. Brown. 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 Jenifer M. Brown. The network helps show where Jenifer M. Brown may publish in the future.
Co-authorship network of co-authors of Jenifer M. Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Jenifer M. Brown. A scholar is included among the top collaborators of Jenifer M. Brown 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 Jenifer M. Brown. Jenifer M. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 11 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 14 | |
| 11 | 8 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 29 | |
| 15 | 3 | |
| 16 | 8 | |
| 17 | 33 | |
| 18 | 17 | |
| 19 | 43 | |
| 20 | 5 |
About Jenifer M. Brown
Jenifer M. Brown is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Nephrology, having authored 67 papers that have together received 2.3k indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (33 papers), Adrenal and Paraganglionic Tumors (15 papers) and Blood Pressure and Hypertension Studies (14 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.4k citations), Cardiology and Cardiovascular Medicine (830 citations) and Surgery (993 citations). Jenifer M. Brown has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Anand Vaidya, Gordon H. Williams, Paul N. Hopkins, Brendan M. Everett, Mohammed Siddiqui, Robert M. Carey, David A. Calhoun, Melissa Magwire, Pamela B. Morris and Laurence Sperling. Their work appears in journals such as New England Journal of Medicine, The Lancet and Circulation.
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.