Iñigo San-Millán
- Molecular Biology
- Cancer Research top 5%
- Physiology top 10%
- Cell Biology top 10%
- Neurology top 10%
- Co-authors
- George A. BrooksPaul E. WischmeyerTravis NemkovAngelo D’AlessandroFrancesca CendaliColleen G. JulianDavid BaraghoshiDavide Stefanoni
- Topics
- Muscle metabolism and nutrition (8 papers)Adipose Tissue and Metabolism (6 papers)Metabolomics and Mass Spectrometry Studies (4 papers)
- Partner nations
- United StatesSpainAustralia
In The Last Decade
Iñigo San-Millán
16 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Molecular Biology 546
- Cancer Research 345
- Physiology 320
- Cell Biology 178
- Neurology 109
Countries citing papers authored by Iñigo San-Millán
This map shows the geographic impact of Iñigo San-Millán'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 Iñigo San-Millán with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iñigo San-Millán more than expected).
Fields of papers citing papers by Iñigo San-Millán
This network shows the impact of papers produced by Iñigo San-Millán. 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 Iñigo San-Millán. The network helps show where Iñigo San-Millán may publish in the future.
Co-authorship network of co-authors of Iñigo San-Millán
This figure shows the co-authorship network connecting the top 25 collaborators of Iñigo San-Millán. A scholar is included among the top collaborators of Iñigo San-Millán 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 Iñigo San-Millán. Iñigo San-Millán is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | The Key Role of Mitochondrial Function in Health and Diseasebreakdown → | 116 |
| 3 | 21 | |
| 4 | 35 | |
| 5 | 97 | |
| 6 | 4 | |
| 7 | 45 | |
| 8 | 67 | |
| 9 | 1 | |
| 10 | 9 | |
| 11 | 20 | |
| 12 | 2 | |
| 13 | 20 | |
| 14 | 170 | |
| 15 | Reexamining cancer metabolism: lactate production for carcinogenesis could be the purpose and explanation of the Warburg Effectbreakdown → | 491 |
| 16 | 108 |
About Iñigo San-Millán
Iñigo San-Millán is a scholar working on Cell Biology, Rehabilitation and Critical Care and Intensive Care Medicine, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (8 papers), Adipose Tissue and Metabolism (6 papers) and Metabolomics and Mass Spectrometry Studies (4 papers). The work is most often cited by research in Cancer Research (345 citations), Physiology (320 citations) and Complementary and alternative medicine (101 citations). Iñigo San-Millán has collaborated with scholars based in United States, Spain and Australia. Frequent co-authors include George A. Brooks, Paul E. Wischmeyer, Travis Nemkov, Angelo D’Alessandro, Francesca Cendali, Colleen G. Julian, David Baraghoshi, Davide Stefanoni, Kirk C. Hansen and Vamsi P. Guntur. Their work appears in journals such as Medicine & Science in Sports & Exercise, Sports Medicine and Nutrients.
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.