Erez Eitan
Impact in
- Aging top 2%
- Genetics, Aging, and Longevity in Model Organisms
- Cancer Research top 2%
- MicroRNA in disease regulation
Papers in
-
- Extracellular vesicles in disease 19
- RNA Interference and Gene Delivery 4
- Physiology 14
- Telomeres, Telomerase, and Senescence 8
- Alzheimer's disease research and treatments 3
- Co-authors
- Mark P. Mattson (17 shared papers)Dimitrios Kapogiannis (12 shared papers)Edward J. Goetzl (7 shared papers)Janice B. Schwartz (4 shared papers)Bruce L. Miller (3 shared papers)Maja Mustapić (6 shared papers)Emmette R. Hutchison (5 shared papers)Kenneth W. Witwer (6 shared papers)
- Journals
- Alzheimer s & Dementia (4 papers)Journal of Extracellular Vesicles (3 papers)Aging Cell (2 papers)The FASEB Journal (2 papers)Scientific Reports (2 papers)
- Partner nations
- United StatesIsraelDenmark
In The Last Decade
Erez Eitan
35 papers receiving 3.4k citations
Erez Eitan's Hit Papers
Peers
Comparison fields: 5 of 111
- Aging 159
- Cancer Research 907
- Neurology 477
- Biological Psychiatry 84
- Molecular Biology 2.4k
Countries citing papers authored by Erez Eitan
This map shows the geographic impact of Erez Eitan'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 Erez Eitan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erez Eitan more than expected).
Fields of papers citing papers by Erez Eitan
This network shows the impact of papers produced by Erez Eitan. 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 Erez Eitan. The network helps show where Erez Eitan may publish in the future.
Co-authors
The 25 scholars most cited alongside Erez Eitan, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Identification of preclinical Alzheimer's disease by a profile of pathogenic proteins in neurally derived blood exosomes: A case‐control study Hit paper breakdown → | 2014 | 772 |
| 2 | 2017 | 357 | |
| 3 | 2016 | 326 | |
| 4 | 2017 | 217 | |
| 5 | 2016 | 214 | |
| 6 | 2018 | 202 | |
| 7 | 2019 | 183 | |
| 8 | 2014 | 133 | |
| 9 | 2015 | 120 | |
| 10 | 2016 | 110 | |
| 11 | 2020 | 109 | |
| 12 | 2014 | 88 | |
| 13 | 2012 | 79 | |
| 14 | 2013 | 60 | |
| 15 | 2017 | 60 | |
| 16 | 2017 | 53 | |
| 17 | 2015 | 47 | |
| 18 | 2017 | 47 | |
| 19 | 2017 | 43 | |
| 20 | 2017 | 40 |
About Erez Eitan
Erez Eitan is a scholar working on Molecular Biology, Physiology, Immunology, Cancer Research and Neurology, having authored 35 papers that have together received 3.5k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (19 papers), Telomeres, Telomerase, and Senescence (8 papers), MicroRNA in disease regulation (5 papers), RNA Interference and Gene Delivery (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Alzheimer's disease research and treatments (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Autophagy in Disease and Therapy (3 papers). The work is most often cited by research in Aging (159 citations), Cancer Research (907 citations), Neurology (477 citations), Biological Psychiatry (84 citations) and Molecular Biology (2.4k citations). Erez Eitan has collaborated with scholars based in United States, Israel and Denmark. Frequent co-authors include Mark P. Mattson, Dimitrios Kapogiannis, Edward J. Goetzl, Janice B. Schwartz, Bruce L. Miller, Maja Mustapić, Emmette R. Hutchison, Kenneth W. Witwer, Caitlin N. Suire and Adam L. Boxer. Their work appears in journals such as Alzheimer s & Dementia, Journal of Extracellular Vesicles, Aging Cell, The FASEB Journal and Scientific Reports.
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.