José M. M. Caaveiro
- Molecular Biology top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Immunology top 10%
- Paleontology top 5%
- Cell Biology top 10%
- Co-authors
- Kouhei TsumotoJuan Manuel González‐MañasKoldo MoranteMasato KiyoshiKoji TanakaIon Gutiérrez‐AguirreFélix M. GoñiSatoru Nagatoishi
- Topics
- Monoclonal and Polyclonal Antibodies Research (28 papers)Glycosylation and Glycoproteins Research (18 papers)Lipid Membrane Structure and Behavior (17 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- JapanSpainUnited States
In The Last Decade
José M. M. Caaveiro
86 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 1.3k
- Radiology, Nuclear Medicine and Imaging 471
- Immunology 246
- Paleontology 224
- Cell Biology 170
Countries citing papers authored by José M. M. Caaveiro
This map shows the geographic impact of José M. M. Caaveiro'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 José M. M. Caaveiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José M. M. Caaveiro more than expected).
Fields of papers citing papers by José M. M. Caaveiro
This network shows the impact of papers produced by José M. M. Caaveiro. 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 José M. M. Caaveiro. The network helps show where José M. M. Caaveiro may publish in the future.
Co-authorship network of co-authors of José M. M. Caaveiro
This figure shows the co-authorship network connecting the top 25 collaborators of José M. M. Caaveiro. A scholar is included among the top collaborators of José M. M. Caaveiro 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 José M. M. Caaveiro. José M. M. Caaveiro 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 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 12 | |
| 12 | 38 | |
| 13 | 32 | |
| 14 | 53 | |
| 15 | 17 | |
| 16 | 13 | |
| 17 | 17 | |
| 18 | 8 | |
| 19 | 8 | |
| 20 | 9 |
About José M. M. Caaveiro
José M. M. Caaveiro is a scholar working on Virology, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 91 papers that have together received 2.0k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (28 papers), Glycosylation and Glycoproteins Research (18 papers) and Lipid Membrane Structure and Behavior (17 papers). The work is most often cited by research in Paleontology (224 citations), Virology (132 citations) and Radiology, Nuclear Medicine and Imaging (471 citations). José M. M. Caaveiro has collaborated with scholars based in Japan, Spain and United States. Frequent co-authors include Kouhei Tsumoto, Juan Manuel González‐Mañas, Koldo Morante, Masato Kiyoshi, Koji Tanaka, Ion Gutiérrez‐Aguirre, Félix M. Goñi, Satoru Nagatoishi, José L. Nieva and Gregory A. Petsko. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.