Jaime Herrera-Acosta
- Nephrology top 0.05%
- Pathology and Forensic Medicine top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Epidemiology top 2%
- Molecular Biology top 10%
- Co-authors
- Richard J. JohnsonBernardo Rodríguez‐IturbeDaniel I. FeigEdilia TapiaTakahiko NakagawaLaura Gabriela Sánchez‐LozadaKatherine R. TuttleDuk‐Hee Kang
- Topics
- Nitric Oxide and Endothelin Effects (12 papers)Renal Diseases and Glomerulopathies (12 papers)Hormonal Regulation and Hypertension (12 papers)
- Partner nations
- MexicoUnited StatesVenezuela
In The Last Decade
Jaime Herrera-Acosta
76 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Nephrology 3.3k
- Pathology and Forensic Medicine 1.6k
- Endocrinology, Diabetes and Metabolism 1.6k
- Epidemiology 1.2k
- Molecular Biology 1.1k
Countries citing papers authored by Jaime Herrera-Acosta
This map shows the geographic impact of Jaime Herrera-Acosta'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 Jaime Herrera-Acosta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaime Herrera-Acosta more than expected).
Fields of papers citing papers by Jaime Herrera-Acosta
This network shows the impact of papers produced by Jaime Herrera-Acosta. 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 Jaime Herrera-Acosta. The network helps show where Jaime Herrera-Acosta may publish in the future.
Co-authorship network of co-authors of Jaime Herrera-Acosta
This figure shows the co-authorship network connecting the top 25 collaborators of Jaime Herrera-Acosta. A scholar is included among the top collaborators of Jaime Herrera-Acosta 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 Jaime Herrera-Acosta. Jaime Herrera-Acosta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 44 | |
| 2 | 7 | |
| 3 | 53 | |
| 4 | 18 | |
| 5 | 7 | |
| 6 | 116 | |
| 7 | 33 | |
| 8 | 458 | |
| 9 | 22 | |
| 10 | 23 | |
| 11 | 65 | |
| 12 | 17 | |
| 13 | 8 | |
| 14 | 5 | |
| 15 | 213 | |
| 16 | 35 | |
| 17 | 182 | |
| 18 | 73 | |
| 19 | 25 | |
| 20 | Mechanism of glomerular permeability reduction in nonclipped kidney of rats with goldblatt hypertension | 12 |
About Jaime Herrera-Acosta
Jaime Herrera-Acosta is a scholar working on Nephrology, Transplantation and Endocrinology, Diabetes and Metabolism, having authored 77 papers that have together received 6.4k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (12 papers), Renal Diseases and Glomerulopathies (12 papers) and Hormonal Regulation and Hypertension (12 papers). The work is most often cited by research in Nephrology (3.3k citations), Endocrinology, Diabetes and Metabolism (1.6k citations) and Pathology and Forensic Medicine (1.6k citations). Jaime Herrera-Acosta has collaborated with scholars based in Mexico, United States and Venezuela. Frequent co-authors include Richard J. Johnson, Bernardo Rodríguez‐Iturbe, Daniel I. Feig, Edilia Tapia, Takahiko Nakagawa, Laura Gabriela Sánchez‐Lozada, Katherine R. Tuttle, Duk‐Hee Kang, Marilda Mazzali and John Kanellis. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Investigation and Kidney International.
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.