José D. Faraldo‐Gómez
- Structural Biology top 2%
- Molecular Biology top 2%
- Lipid Membrane Structure and Behavior 22
- Protein Structure and Dynamics 21
- ATP Synthase and ATPases Research 20
- Mitochondrial Function and Pathology 19
- Ion channel regulation and function 18
- Photosynthetic Processes and Mechanisms 10
- Molecular Medicine top 2%
- Sensory Systems top 5%
- Clinical Biochemistry top 5%
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- Spectroscopy and Quantum Chemical Studies 10
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- Mass Spectrometry Techniques and Applications 8
- Co-authors
- Mark S.P. SansomClaudio AnselmiThomas MeierBenoı̂t RouxWenchang ZhouDenys PogoryelovFabrizio MarinelliKaren M. Davies
- Journals
- Proceedings of the National Academy of Sciences (15 papers)Biophysical Journal (13 papers)eLife (8 papers)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
José D. Faraldo‐Gómez
89 papers receiving 4.1k citations
Peers
Comparison fields: 5 of 134
- Structural Biology 97
- Molecular Biology 3.2k
- Molecular Medicine 192
- Sensory Systems 111
- Clinical Biochemistry 133
Countries citing papers authored by José D. Faraldo‐Gómez
This map shows the geographic impact of José D. Faraldo‐Gómez'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 D. Faraldo‐Gómez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José D. Faraldo‐Gómez more than expected).
Fields of papers citing papers by José D. Faraldo‐Gómez
This network shows the impact of papers produced by José D. Faraldo‐Gómez. 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 D. Faraldo‐Gómez. The network helps show where José D. Faraldo‐Gómez may publish in the future.
Co-authorship network
The 25 scholars most cited alongside José D. Faraldo‐Gómez, 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 | 2023 | 5 | |
| 2 | 2023 | 4 | |
| 3 | 2022 | 9 | |
| 4 | 2020 | 40 | |
| 5 | 2019 | 11 | |
| 6 | 2019 | 1 | |
| 7 | 2018 | 155 | |
| 8 | 2018 | 1 | |
| 9 | 2018 | 13 | |
| 10 | 2018 | 46 | |
| 11 | 2015 | 4 | |
| 12 | 2013 | 53 | |
| 13 | 2012 | 378 | |
| 14 | 2012 | 103 | |
| 15 | 2011 | 10 | |
| 16 | 2011 | 19 | |
| 17 | 2010 | 90 | |
| 18 | 2010 | 53 | |
| 19 | 2006 | 35 | |
| 20 | 2004 | 93 |
About José D. Faraldo‐Gómez
José D. Faraldo‐Gómez is a scholar working on Structural Biology, Molecular Biology and Electrochemistry, having authored 92 papers that have together received 4.1k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (22 papers), Protein Structure and Dynamics (21 papers), ATP Synthase and ATPases Research (20 papers), Mitochondrial Function and Pathology (19 papers), Ion channel regulation and function (18 papers), Spectroscopy and Quantum Chemical Studies (10 papers), Photosynthetic Processes and Mechanisms (10 papers) and Mass Spectrometry Techniques and Applications (8 papers). The work is most often cited by research in Structural Biology (97 citations), Molecular Biology (3.2k citations) and Molecular Medicine (192 citations). José D. Faraldo‐Gómez has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Mark S.P. Sansom, Claudio Anselmi, Thomas Meier, Benoı̂t Roux, Wenchang Zhou, Denys Pogoryelov, Fabrizio Marinelli, Karen M. Davies, Werner Kühlbrandt and Ilka Wittig. Their work appears in journals such as Proceedings of the National Academy of Sciences, Biophysical Journal, eLife, The Journal of General Physiology and Journal of Chemical Theory and Computation.
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.