José M. M. Caaveiro
- Paleontology top 5%
- Virology top 5%
- HIV Research and Treatment 10
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- Monoclonal and Polyclonal Antibodies Research 28
- Molecular Biology top 5%
- Glycosylation and Glycoproteins Research 18
- Lipid Membrane Structure and Behavior 17
- Protein Structure and Dynamics 12
- Protein purification and stability 8
- Biotechnology top 5%
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- Enzyme Structure and Function 10
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- Hemoglobin structure and function 7
- Co-authors
- Kouhei TsumotoJuan Manuel González‐MañasKoldo MoranteMasato KiyoshiKoji TanakaIon Gutiérrez‐AguirreFélix M. GoñiSatoru Nagatoishi
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of the American Chemical Society (2 papers)Journal of Biological Chemistry (14 papers)
- Partner nations
- JapanSpainUnited States
In The Last Decade
José M. M. Caaveiro
86 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 113
- Paleontology 224
- Virology 132
- Radiology, Nuclear Medicine and Imaging 471
- Molecular Biology 1.3k
- Biotechnology 121
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
The 25 scholars most cited alongside José M. M. Caaveiro, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 1 | |
| 8 | 2021 | 6 | |
| 9 | 2021 | 3 | |
| 10 | 2021 | 3 | |
| 11 | 2020 | 12 | |
| 12 | 2019 | 38 | |
| 13 | 2018 | 32 | |
| 14 | 2018 | 53 | |
| 15 | 2017 | 17 | |
| 16 | 2017 | 13 | |
| 17 | 2016 | 17 | |
| 18 | 2012 | 8 | |
| 19 | 2010 | 8 | |
| 20 | 2002 | 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), Lipid Membrane Structure and Behavior (17 papers), Protein Structure and Dynamics (12 papers), Enzyme Structure and Function (10 papers), HIV Research and Treatment (10 papers), Protein purification and stability (8 papers) and Hemoglobin structure and function (7 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.