Bruno Ramos‐Molina
- Molecular Biology top 10%
- Physiology top 5%
- Epidemiology top 10%
- Surgery
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- María Isabel Queipo‐OrtuñoRafael PeñafielFrancisco J. TinahonesLidia Sánchez‐AlcoholadoAna LambertosIris LindbergA. OteroAurora Laborda-Illanes
- Topics
- Liver Disease Diagnosis and Treatment (25 papers)Polyamine Metabolism and Applications (21 papers)Diet and metabolism studies (19 papers)
- Journals
- Journal of Biological ChemistrySHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- SpainUnited StatesBelgium
In The Last Decade
Bruno Ramos‐Molina
83 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 108
- Molecular Biology 1.1k
- Physiology 461
- Epidemiology 360
- Surgery 228
- Endocrinology, Diabetes and Metabolism 204
Countries citing papers authored by Bruno Ramos‐Molina
This map shows the geographic impact of Bruno Ramos‐Molina'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 Bruno Ramos‐Molina with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruno Ramos‐Molina more than expected).
Fields of papers citing papers by Bruno Ramos‐Molina
This network shows the impact of papers produced by Bruno Ramos‐Molina. 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 Bruno Ramos‐Molina. The network helps show where Bruno Ramos‐Molina may publish in the future.
Co-authorship network of co-authors of Bruno Ramos‐Molina
This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Ramos‐Molina. A scholar is included among the top collaborators of Bruno Ramos‐Molina 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 Bruno Ramos‐Molina. Bruno Ramos‐Molina 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 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 9 | |
| 9 | 3 | |
| 10 | 54 | |
| 11 | 45 | |
| 12 | 27 | |
| 13 | 86 | |
| 14 | 6 | |
| 15 | 12 | |
| 16 | 59 | |
| 17 | 14 | |
| 18 | 10 | |
| 19 | 9 | |
| 20 | 19 |
About Bruno Ramos‐Molina
Bruno Ramos‐Molina is a scholar working on Biochemistry, Pharmacology and Endocrinology, Diabetes and Metabolism, having authored 88 papers that have together received 1.9k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (25 papers), Polyamine Metabolism and Applications (21 papers) and Diet and metabolism studies (19 papers). The work is most often cited by research in Biochemistry (175 citations), Biological Psychiatry (46 citations) and Physiology (461 citations). Bruno Ramos‐Molina has collaborated with scholars based in Spain, United States and Belgium. Frequent co-authors include María Isabel Queipo‐Ortuño, Rafael Peñafiel, Francisco J. Tinahones, Lidia Sánchez‐Alcoholado, Ana Lambertos, Iris Lindberg, A. Otero, Aurora Laborda-Illanes, Rafael Ordóñez and Jaime Gómez‐Millán. Their work appears in journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.
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.