Eli Arama
Impact in
- Epidemiology top 0.5%
- Autophagy in Disease and Therapy
- Aging top 1%
Papers in
- Cell Biology 11
- Hippo pathway signaling and YAP/TAZ 5
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- Cell death mechanisms and regulation 21
- Ubiquitin and proteasome pathways 6
- CRISPR and Genetic Engineering 4
- RNA Interference and Gene Delivery 4
- Co-authors
- Hermann Steller (8 shared papers)Julie Agapite (1 shared paper)Anat Florentin (4 shared papers)Maya Bader (3 shared papers)Yossi Kalifa (2 shared papers)Andreas Bergmann (4 shared papers)Mayank Srivastava (2 shared papers)Benny Motro (3 shared papers)
- Journals
- Developmental Cell (7 papers)Cell Death and Differentiation (5 papers)Nature Communications (5 papers)Oncogene (3 papers)The Journal of Cell Biology (2 papers)
- Partner nations
- IsraelUnited StatesItaly
In The Last Decade
Eli Arama
41 papers receiving 12.2k citations
Eli Arama's Hit Papers
Peers
Comparison fields: 5 of 165
- Epidemiology 4.2k
- Aging 213
- Physiology 525
- Molecular Biology 6.5k
- Cell Biology 1.5k
Countries citing papers authored by Eli Arama
This map shows the geographic impact of Eli Arama'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 Eli Arama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eli Arama more than expected).
Fields of papers citing papers by Eli Arama
This network shows the impact of papers produced by Eli Arama. 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 Eli Arama. The network helps show where Eli Arama may publish in the future.
Co-authors
The 25 scholars most cited alongside Eli Arama, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Molecular mechanisms of cell death: recommendations of the Nomenclature Committee on Cell Death 2018 Hit paper breakdown → | 2018 | 5296 |
| 2 | Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) Hit paper breakdown → | 2016 | 4660 |
| 3 | 2003 | 359 | |
| 4 | Apoptotic cell death in disease—Current understanding of the NCCD 2023 Hit paper breakdown → | 2023 | 271 |
| 5 | 2010 | 130 | |
| 6 | 2014 | 123 | |
| 7 | 2012 | 118 | |
| 8 | 2005 | 114 | |
| 9 | 2009 | 113 | |
| 10 | 2007 | 112 | |
| 11 | 2000 | 107 | |
| 12 | 2013 | 92 | |
| 13 | 2010 | 79 | |
| 14 | 2006 | 70 | |
| 15 | 2007 | 70 | |
| 16 | 2019 | 58 | |
| 17 | 2017 | 58 | |
| 18 | 1997 | 57 | |
| 19 | 2006 | 49 | |
| 20 | 2017 | 48 |
About Eli Arama
Eli Arama is a scholar working on Cell Biology, Molecular Biology, Epidemiology, Reproductive Medicine and Aging, having authored 44 papers that have together received 12.3k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (21 papers), Autophagy in Disease and Therapy (10 papers), Ubiquitin and proteasome pathways (6 papers), Hippo pathway signaling and YAP/TAZ (5 papers), Phagocytosis and Immune Regulation (5 papers), CRISPR and Genetic Engineering (4 papers), RNA Interference and Gene Delivery (4 papers) and Sperm and Testicular Function (4 papers). The work is most often cited by research in Epidemiology (4.2k citations), Aging (213 citations), Physiology (525 citations), Molecular Biology (6.5k citations) and Cell Biology (1.5k citations). Eli Arama has collaborated with scholars based in Israel, United States and Italy. Frequent co-authors include Hermann Steller, Julie Agapite, Anat Florentin, Maya Bader, Yossi Kalifa, Andreas Bergmann, Mayank Srivastava, Benny Motro, Gabrielle E. Rieckhof and Lior Aram. Their work appears in journals such as Developmental Cell, Cell Death and Differentiation, Nature Communications, Oncogene and The Journal of Cell Biology.
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.