F.V. Vega
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- Toxin Mechanisms and Immunotoxins
- T-cell and B-cell Immunology
- Immune Response and Inflammation
- Immunology and Allergy top 5%
Papers in
-
- Enzyme function and inhibition 4
- ATP Synthase and ATPases Research 2
- Biochemical and Molecular Research 2
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- Adipose Tissue and Metabolism 4
- Co-authors
- Gérard Zurawski (2 shared papers)Sandra Zurawski (1 shared paper)Bernard Huyghe (1 shared paper)Juan A. Rubiolo (8 shared papers)F W Robinson (1 shared paper)Tetsuro Kôno (1 shared paper)Richard H. Pointer (1 shared paper)René de Waal Malefyt (1 shared paper)
In The Last Decade
F.V. Vega
26 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 96
- Immunology 433
- Immunology and Allergy 101
- Equine 17
- Physiology 248
- Environmental Chemistry 72
Countries citing papers authored by F.V. Vega
This map shows the geographic impact of F.V. Vega'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 F.V. Vega with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F.V. Vega more than expected).
Fields of papers citing papers by F.V. Vega
This network shows the impact of papers produced by F.V. Vega. 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 F.V. Vega. The network helps show where F.V. Vega may publish in the future.
Co-authors
The 25 scholars most cited alongside F.V. Vega, 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 | 1993 | 392 | |
| 2 | 1993 | 182 | |
| 3 | 1977 | 153 | |
| 4 | 2013 | 74 | |
| 5 | 2008 | 50 | |
| 6 | 2013 | 32 | |
| 7 | 1990 | 26 | |
| 8 | 2008 | 24 | |
| 9 | 2005 | 19 | |
| 10 | 2011 | 16 | |
| 11 | 2012 | 14 | |
| 12 | 1974 | 13 | |
| 13 | Metabolic and drug distribution studies do not support direct inhibitory effects of metformin on intestinal glucose absorption. | 1995 | 13 |
| 14 | 1990 | 12 | |
| 15 | 2012 | 8 | |
| 16 | 1995 | 8 | |
| 17 | 1993 | 6 | |
| 18 | 1998 | 6 | |
| 19 | 1988 | 6 | |
| 20 | 1987 | 6 |
About F.V. Vega
F.V. Vega is a scholar working on Molecular Biology, Physiology, Environmental Chemistry, Cell Biology and Immunology, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Marine Toxins and Detection Methods (4 papers), Adipose Tissue and Metabolism (4 papers), Enzyme function and inhibition (4 papers), ATP Synthase and ATPases Research (2 papers), Lipid metabolism and biosynthesis (2 papers), Sirtuins and Resveratrol in Medicine (2 papers), Immune Cell Function and Interaction (2 papers) and Biochemical and Molecular Research (2 papers). The work is most often cited by research in Immunology (433 citations), Immunology and Allergy (101 citations), Equine (17 citations), Physiology (248 citations) and Environmental Chemistry (72 citations). F.V. Vega has collaborated with scholars based in Spain, Argentina and France. Frequent co-authors include Gérard Zurawski, Sandra Zurawski, Bernard Huyghe, Juan A. Rubiolo, F W Robinson, Tetsuro Kôno, Richard H. Pointer, René de Waal Malefyt, Mercedes R. Vieytes and Sandra Zurawski. Their work appears in journals such as Journal of Biological Chemistry, British Journal of Pharmacology, American Journal of Physiology-Legacy Content, The Journal of Experimental Medicine and Applied Biochemistry and 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.