Fernando Roncal
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Immunology top 10%
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
Papers in
-
- Lipid Membrane Structure and Behavior 3
- Genomics and Chromatin Dynamics 3
-
- Monoclonal and Polyclonal Antibodies Research 5
- Co-authors
- Juan Pablo Albar (13 shared papers)Francisco Gavilanes (6 shared papers)Ignacio Rodríguez‐Crespo (5 shared papers)Carlos Martı́nez-A (6 shared papers)Gabriel Márquez (3 shared papers)Mónica Martínez‐Moreno (3 shared papers)Amelia Nieto (1 shared paper)Juan Ortı́n (1 shared paper)
- Journals
- FEBS Letters (4 papers)EMBO Reports (2 papers)Journal of Virology (2 papers)Journal of Bacteriology (1 paper)Journal of Biotechnology (1 paper)
- Partner nations
- SpainFranceUnited States
In The Last Decade
Fernando Roncal
26 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 75
- Cell Biology 231
- Immunology 292
- Molecular Biology 752
- Microbiology 56
- Oncology 174
Countries citing papers authored by Fernando Roncal
This map shows the geographic impact of Fernando Roncal'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 Roncal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Roncal more than expected).
Fields of papers citing papers by Fernando Roncal
This network shows the impact of papers produced by Fernando Roncal. 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 Roncal. The network helps show where Fernando Roncal may publish in the future.
Co-authors
The 25 scholars most cited alongside Fernando Roncal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 144 | |
| 2 | 2001 | 102 | |
| 3 | 2001 | 88 | |
| 4 | 1998 | 79 | |
| 5 | 2002 | 74 | |
| 6 | 2001 | 70 | |
| 7 | 2007 | 70 | |
| 8 | 2003 | 63 | |
| 9 | 2004 | 55 | |
| 10 | 2001 | 55 | |
| 11 | 2003 | 37 | |
| 12 | 1999 | 36 | |
| 13 | 2002 | 32 | |
| 14 | 2001 | 30 | |
| 15 | 2013 | 29 | |
| 16 | 2000 | 29 | |
| 17 | 2004 | 24 | |
| 18 | 1999 | 22 | |
| 19 | 1993 | 20 | |
| 20 | 2005 | 20 |
About Fernando Roncal
Fernando Roncal is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cell Biology, Genetics and Immunology, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Immunotherapy and Immune Responses (4 papers), Lipid Membrane Structure and Behavior (3 papers), Bacteriophages and microbial interactions (3 papers), Genomics and Chromatin Dynamics (3 papers), Virus-based gene therapy research (3 papers), T-cell and B-cell Immunology (3 papers) and Microtubule and mitosis dynamics (3 papers). The work is most often cited by research in Cell Biology (231 citations), Immunology (292 citations), Molecular Biology (752 citations), Microbiology (56 citations) and Oncology (174 citations). Fernando Roncal has collaborated with scholars based in Spain, France and United States. Frequent co-authors include Juan Pablo Albar, Francisco Gavilanes, Ignacio Rodríguez‐Crespo, Carlos Martı́nez-A, Gabriel Márquez, Mónica Martínez‐Moreno, Amelia Nieto, Juan Ortı́n, Maite Huarte and Juan José Sanz‐Ezquerro. Their work appears in journals such as FEBS Letters, EMBO Reports, Journal of Virology, Journal of Bacteriology and Journal of Biotechnology.
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.