Eli Arama

15.1k citations
33 papers · 1.9k indexed · h-index 23

Impact in

  • Aging top 2%
    • Hippo pathway signaling and YAP/TAZ
    • Microtubule and mitosis dynamics

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 3
    • Hippo pathway signaling and YAP/TAZ 5

Eli Arama

32 papers receiving 1.9k citations

Peers

Eli Arama
Comparison fields: 5 of 98
  • Aging 102
  • Cell Biology 497
  • Molecular Biology 1.5k
  • Reproductive Medicine 147
  • Immunology 346
Replace Leonie M. Quinn with:
Leonie M. Quinn Australia
Amparo Palmer Germany
Steven X. Hou United States
J M Westendorf United States
Rosemary W. Elliott United States
Kei‐ichiro Ishiguro Japan
Hidesato Ogawa Japan
Rachel T. Cox United States
Suzanne Vigneron France
Koichiro Shiokawa Japan
Eli Arama relative to Leonie M. Quinn Australia Leonie M. Quinn's profile →
Citations per field
00.5×4.7×
Leonie M. Quinn · 1×
Citations per year

Countries citing papers authored by Eli Arama

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Eli Arama Line = papers co-authored together Eli Arama links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003342
2 2010126
3 2005114
4 2012111
5 2007107
6 2000107
7 2014107
8 2009101
9 201383
10 201075
11 200667
12 200762
13 199757
14 201953
15 201750
16 200648
17 199843
18 201042
19 201837
20 201633

About Eli Arama

Eli Arama is a scholar working on Aging, Cell Biology, Reproductive Medicine, Parasitology and Molecular Biology, having authored 33 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (14 papers), Autophagy in Disease and Therapy (7 papers), Ubiquitin and proteasome pathways (6 papers), Hippo pathway signaling and YAP/TAZ (5 papers), CRISPR and Genetic Engineering (4 papers), Sperm and Testicular Function (4 papers), Phagocytosis and Immune Regulation (3 papers) and Genetics, Aging, and Longevity in Model Organisms (3 papers). The work is most often cited by research in Aging (102 citations), Cell Biology (497 citations), Molecular Biology (1.5k citations), Reproductive Medicine (147 citations) and Immunology (346 citations). Eli Arama has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Hermann Steller, Julie Agapite, Maya Bader, Anat Florentin, Yossi Kalifa, Andreas Bergmann, Mayank Srivastava, Benny Motro, Gabrielle E. Rieckhof and Zèev Lev. Their work appears in journals such as Developmental Cell, Nature Communications, Oncogene, Cell Death and Differentiation and PLoS 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.

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