Sergio Martínez‐Hervás
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Physiology top 10%
- Epidemiology top 10%
- Co-authors
- José T. RealJuan F. AscasoHerminia González‐NavarroÁngela VinuéFelipe Javier ChavesAndrea Herrero-CerveraRafael CarmenaJosep Redón
- Topics
- Lipoproteins and Cardiovascular Health (26 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (24 papers)Atherosclerosis and Cardiovascular Diseases (19 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- SpainItalyUnited States
In The Last Decade
Sergio Martínez‐Hervás
106 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 116
- Surgery 443
- Endocrinology, Diabetes and Metabolism 438
- Molecular Biology 379
- Physiology 296
- Epidemiology 290
Countries citing papers authored by Sergio Martínez‐Hervás
This map shows the geographic impact of Sergio Martínez‐Hervás'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 Sergio Martínez‐Hervás with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergio Martínez‐Hervás more than expected).
Fields of papers citing papers by Sergio Martínez‐Hervás
This network shows the impact of papers produced by Sergio Martínez‐Hervás. 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 Sergio Martínez‐Hervás. The network helps show where Sergio Martínez‐Hervás may publish in the future.
Co-authorship network of co-authors of Sergio Martínez‐Hervás
This figure shows the co-authorship network connecting the top 25 collaborators of Sergio Martínez‐Hervás. A scholar is included among the top collaborators of Sergio Martínez‐Hervás 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 Sergio Martínez‐Hervás. Sergio Martínez‐Hervás is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | 15 | |
| 14 | 45 | |
| 15 | 7 | |
| 16 | 13 | |
| 17 | 37 | |
| 18 | 17 | |
| 19 | 52 | |
| 20 | 17 |
About Sergio Martínez‐Hervás
Sergio Martínez‐Hervás is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry and Immunology, having authored 117 papers that have together received 1.6k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (26 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (24 papers) and Atherosclerosis and Cardiovascular Diseases (19 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (438 citations), Immunology (249 citations) and Physiology (296 citations). Sergio Martínez‐Hervás has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include José T. Real, Juan F. Ascaso, Herminia González‐Navarro, Ángela Vinué, Felipe Javier Chaves, Andrea Herrero-Cervera, Rafael Carmena, Josep Redón, Laura Piqueras and María‐Jesús Sanz. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.
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.