Fernando Ramón
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
-
- Tuberculosis Research and Epidemiology
Papers in
-
- Polyamine Metabolism and Applications 5
- Receptor Mechanisms and Signaling 2
- Advanced Biosensing Techniques and Applications 2
-
- Amino Acid Enzymes and Metabolism 5
- Co-authors
- Carmen Acebal (8 shared papers)Isabel de la Mata (8 shared papers)M.P. Castillón (6 shared papers)Gonzalo Colmenarejo (2 shared papers)Noton K. Dutta (1 shared paper)Esther Pérez‐Herrán (1 shared paper)Esther Porras-De Francisco (1 shared paper)Jae Jin Lee (1 shared paper)
- Journals
- SLAS DISCOVERY (6 papers)Scientific Reports (2 papers)Catalysts (2 papers)Journal of Molecular Catalysis B Enzymatic (1 paper)Enzyme and Microbial Technology (1 paper)
- Partner nations
- SpainUnited KingdomUnited States
In The Last Decade
Fernando Ramón
19 papers receiving 381 citations
Peers
Comparison fields: 5 of 83
- Molecular Medicine 42
- Infectious Diseases 86
- Biochemistry 35
- Biophysics 21
- Molecular Biology 229
Countries citing papers authored by Fernando Ramón
This map shows the geographic impact of Fernando Ramón'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 Fernando Ramón with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Ramón more than expected).
Fields of papers citing papers by Fernando Ramón
This network shows the impact of papers produced by Fernando Ramón. 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 Fernando Ramón. The network helps show where Fernando Ramón may publish in the future.
Co-authors
The 25 scholars most cited alongside Fernando Ramón, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 101 | |
| 2 | 2002 | 44 | |
| 3 | 2018 | 29 | |
| 4 | 2000 | 27 | |
| 5 | 1999 | 25 | |
| 6 | 1994 | 24 | |
| 7 | 2016 | 24 | |
| 8 | 2003 | 21 | |
| 9 | 2018 | 19 | |
| 10 | 2020 | 17 | |
| 11 | 2016 | 14 | |
| 12 | 2010 | 12 | |
| 13 | 1995 | 8 | |
| 14 | 2016 | 8 | |
| 15 | 2006 | 6 | |
| 16 | 1998 | 6 | |
| 17 | 2024 | 3 | |
| 18 | 1998 | 2 | |
| 19 | 2000 | 2 |
About Fernando Ramón
Fernando Ramón is a scholar working on Molecular Biology, Biochemistry, Immunology, Infectious Diseases and Biotechnology, having authored 19 papers that have together received 392 indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (5 papers), Polyamine Metabolism and Applications (5 papers), Tuberculosis Research and Epidemiology (3 papers), Receptor Mechanisms and Signaling (2 papers), Advanced Biosensing Techniques and Applications (2 papers), Antibiotic Resistance in Bacteria (2 papers), Mycobacterium research and diagnosis (2 papers) and Macrophage Migration Inhibitory Factor (2 papers). The work is most often cited by research in Molecular Medicine (42 citations), Infectious Diseases (86 citations), Biochemistry (35 citations), Biophysics (21 citations) and Molecular Biology (229 citations). Fernando Ramón has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Carmen Acebal, Isabel de la Mata, M.P. Castillón, Gonzalo Colmenarejo, Noton K. Dutta, Esther Pérez‐Herrán, Esther Porras-De Francisco, Jae Jin Lee, Alfonso Mendoza-Losana and Lydia Mata-Cantero. Their work appears in journals such as SLAS DISCOVERY, Scientific Reports, Catalysts, Journal of Molecular Catalysis B Enzymatic and Enzyme and Microbial Technology.
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.