Eric Rivera‐Milla
Impact in
- Cell Biology top 5%
- Caveolin-1 and cellular processes
- Cellular transport and secretion
- Neurology top 10%
- Neurological diseases and metabolism
Papers in
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- Caveolin-1 and cellular processes 3
-
- Axon Guidance and Neuronal Signaling 2
- Co-authors
- Edward Málaga‐Trillo (6 shared papers)Claudia A. O. Stuermer (6 shared papers)Gonzalo P. Solis (2 shared papers)R. Eduardo Palma (3 shared papers)Martin Bastmeyer (4 shared papers)Terry L. Yates (2 shared papers)Jorge Salazar‐Bravo (2 shared papers)Theodoros Sklaviadis (1 shared paper)
- Journals
- The FASEB Journal (1 paper)Nature Chemical Biology (1 paper)Zoological Journal of the Linnean Society (1 paper)Trends in Genetics (1 paper)Journal of the American Society of Nephrology (1 paper)
- Partner nations
- GermanyUnited StatesChile
In The Last Decade
Eric Rivera‐Milla
18 papers receiving 768 citations
Peers
Comparison fields: 5 of 81
- Cell Biology 281
- Neurology 71
- Molecular Biology 458
- Paleontology 46
- Nephrology 31
Countries citing papers authored by Eric Rivera‐Milla
This map shows the geographic impact of Eric Rivera‐Milla'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 Eric Rivera‐Milla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Rivera‐Milla more than expected).
Fields of papers citing papers by Eric Rivera‐Milla
This network shows the impact of papers produced by Eric Rivera‐Milla. 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 Eric Rivera‐Milla. The network helps show where Eric Rivera‐Milla may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Rivera‐Milla, 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 | 2007 | 163 | |
| 2 | 2006 | 131 | |
| 3 | 2005 | 76 | |
| 4 | 2005 | 66 | |
| 5 | 2003 | 54 | |
| 6 | 2013 | 52 | |
| 7 | 2013 | 51 | |
| 8 | 2016 | 33 | |
| 9 | 2012 | 24 | |
| 10 | 2007 | 21 | |
| 11 | 2017 | 21 | |
| 12 | 2010 | 21 | |
| 13 | 2004 | 18 | |
| 14 | 2008 | 18 | |
| 15 | 2011 | 16 | |
| 16 | 2002 | 10 | |
| 17 | 2004 | 4 | |
| 18 | 2017 | 2 |
About Eric Rivera‐Milla
Eric Rivera‐Milla is a scholar working on Cell Biology, Cellular and Molecular Neuroscience, Ecology, Paleontology and Infectious Diseases, having authored 18 papers that have together received 781 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (3 papers), Caveolin-1 and cellular processes (3 papers), Lipid metabolism and disorders (2 papers), Axon Guidance and Neuronal Signaling (2 papers), Mycobacterium research and diagnosis (2 papers), Animal Ecology and Behavior Studies (2 papers), Prion Diseases and Protein Misfolding (2 papers) and Wildlife Ecology and Conservation (2 papers). The work is most often cited by research in Cell Biology (281 citations), Neurology (71 citations), Molecular Biology (458 citations), Paleontology (46 citations) and Nephrology (31 citations). Eric Rivera‐Milla has collaborated with scholars based in Germany, United States and Chile. Frequent co-authors include Edward Málaga‐Trillo, Claudia A. O. Stuermer, Gonzalo P. Solis, R. Eduardo Palma, Martin Bastmeyer, Terry L. Yates, Jorge Salazar‐Bravo, Theodoros Sklaviadis, RUDOLF W. HOFFMANN and Michael Baier. Their work appears in journals such as The FASEB Journal, Nature Chemical Biology, Zoological Journal of the Linnean Society, Trends in Genetics and Journal of the American Society of Nephrology.
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.