Emmanuel L. Bravo
- Surgery top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.2%
- Cardiology and Cardiovascular Medicine top 1%
- Cancer Research top 2%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Robert C. TaraziRay W. GiffordHarriet P. DustanRodrigo TagleFetnat M. FouadInderbir S. GillAndrew C. NovickStephen C. Textor
- Topics
- Adrenal and Paraganglionic Tumors (51 papers)Hormonal Regulation and Hypertension (51 papers)Pituitary Gland Disorders and Treatments (31 papers)
- Partner nations
- United States
In The Last Decade
Emmanuel L. Bravo
113 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Surgery 3.3k
- Endocrinology, Diabetes and Metabolism 3.0k
- Cardiology and Cardiovascular Medicine 1.3k
- Cancer Research 958
- Pulmonary and Respiratory Medicine 497
Countries citing papers authored by Emmanuel L. Bravo
This map shows the geographic impact of Emmanuel L. Bravo'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 Emmanuel L. Bravo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emmanuel L. Bravo more than expected).
Fields of papers citing papers by Emmanuel L. Bravo
This network shows the impact of papers produced by Emmanuel L. Bravo. 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 Emmanuel L. Bravo. The network helps show where Emmanuel L. Bravo may publish in the future.
Co-authorship network of co-authors of Emmanuel L. Bravo
This figure shows the co-authorship network connecting the top 25 collaborators of Emmanuel L. Bravo. A scholar is included among the top collaborators of Emmanuel L. Bravo 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 Emmanuel L. Bravo. Emmanuel L. Bravo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 17 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 23 | |
| 6 | 45 | |
| 7 | 33 | |
| 8 | 3 | |
| 9 | 19 | |
| 10 | 69 | |
| 11 | 1 | |
| 12 | 11 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 242 | |
| 16 | 2 | |
| 17 | 11 | |
| 18 | 23 | |
| 19 | 2 | |
| 20 | 13 |
About Emmanuel L. Bravo
Emmanuel L. Bravo is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Surgery, having authored 116 papers that have together received 5.2k indexed citations. Recurring topics across this work include Adrenal and Paraganglionic Tumors (51 papers), Hormonal Regulation and Hypertension (51 papers) and Pituitary Gland Disorders and Treatments (31 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.0k citations), Surgery (3.3k citations) and Cancer Research (958 citations). Emmanuel L. Bravo has collaborated with scholars based in United States. Frequent co-authors include Robert C. Tarazi, Ray W. Gifford, Harriet P. Dustan, Rodrigo Tagle, Fetnat M. Fouad, Inderbir S. Gill, Andrew C. Novick, Stephen C. Textor, Bruce H. Stewart and Gyung Tak Sung. Their work appears in journals such as New England Journal of Medicine, Circulation and Journal of Clinical Investigation.
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.