Irving E. Vega
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Endoplasmic Reticulum Stress and Disease
- Biological Psychiatry top 10%
Papers in
- Physiology 20
- Alzheimer's disease research and treatments 20
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- Dementia and Cognitive Impairment Research 10
- Co-authors
- Shu-Chan Hsu (1 shared paper)Kiran Madura (3 shared papers)Prasad Tongaonkar (2 shared papers)Warren Mason Potts (1 shared paper)David Lambertson (1 shared paper)Li Chen (1 shared paper)Scott Counts (3 shared papers)Elliott Jay Mufson (1 shared paper)
- Journals
- Frontiers in Neuroscience (6 papers)Journal of Neurochemistry (4 papers)Journal of Alzheimer s Disease (4 papers)Science Advances (2 papers)Neuroreport (2 papers)
- Partner nations
- United StatesPuerto RicoJapan
In The Last Decade
Irving E. Vega
57 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 136
- Cell Biology 403
- Biological Psychiatry 45
- Molecular Biology 1.1k
- Psychiatry and Mental health 216
- Physiology 366
Countries citing papers authored by Irving E. Vega
This map shows the geographic impact of Irving E. Vega'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 Irving E. Vega with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Irving E. Vega more than expected).
Fields of papers citing papers by Irving E. Vega
This network shows the impact of papers produced by Irving E. Vega. 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 Irving E. Vega. The network helps show where Irving E. Vega may publish in the future.
Co-authors
The 25 scholars most cited alongside Irving E. Vega, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 403 | |
| 2 | 2001 | 194 | |
| 3 | 2016 | 157 | |
| 4 | 2009 | 126 | |
| 5 | 2021 | 121 | |
| 6 | 2017 | 105 | |
| 7 | 2021 | 82 | |
| 8 | 2010 | 81 | |
| 9 | 2005 | 75 | |
| 10 | 2003 | 67 | |
| 11 | 2008 | 62 | |
| 12 | 2020 | 49 | |
| 13 | 2009 | 45 | |
| 14 | 2013 | 41 | |
| 15 | 2005 | 37 | |
| 16 | 2017 | 31 | |
| 17 | 2016 | 30 | |
| 18 | 2019 | 29 | |
| 19 | 2013 | 28 | |
| 20 | 2020 | 26 |
About Irving E. Vega
Irving E. Vega is a scholar working on Physiology, Psychiatry and Mental health, Neurology, Molecular Biology and Cell Biology, having authored 58 papers that have together received 2.1k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (20 papers), Dementia and Cognitive Impairment Research (10 papers), Mitochondrial Function and Pathology (6 papers), Neuroscience and Neuropharmacology Research (6 papers), Cellular transport and secretion (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Ubiquitin and proteasome pathways (3 papers) and Invertebrate Immune Response Mechanisms (2 papers). The work is most often cited by research in Cell Biology (403 citations), Biological Psychiatry (45 citations), Molecular Biology (1.1k citations), Psychiatry and Mental health (216 citations) and Physiology (366 citations). Irving E. Vega has collaborated with scholars based in United States, Puerto Rico and Japan. Frequent co-authors include Shu-Chan Hsu, Kiran Madura, Prasad Tongaonkar, Warren Mason Potts, David Lambertson, Li Chen, Scott Counts, Elliott Jay Mufson, Miloš D. Ikonomović and Natosha M. Mercado. Their work appears in journals such as Frontiers in Neuroscience, Journal of Neurochemistry, Journal of Alzheimer s Disease, Science Advances and Neuroreport.
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.