Hani Atamna

6.0k citations
56 papers · 4.8k · h-index 37

Impact in

Papers in

    • Mitochondrial Function and Pathology 10
    • RNA modifications and cancer 7
    • Alzheimer's disease research and treatments 9
    • Telomeres, Telomerase, and Senescence 7

Hani Atamna

55 papers receiving 4.7k citations

Peers

Hani Atamna
Comparison fields: 5 of 150
  • Aging 290
  • Biological Psychiatry 164
  • Physiology 1.4k
  • Cancer Research 694
  • Molecular Biology 2.6k
Replace Takahiko Shimizu with:
Takahiko Shimizu Japan
Xiaoyan Wang China
Cecília M. P. Rodrigues Portugal
Giovambattista Pani Italy
Helena M. Cochemé United Kingdom
Angela Logan United Kingdom
Amy Deik United States
Anthony A. Sauve United States
Jianhua Zhang United States
John T. Pinto United States
Hani Atamna relative to Takahiko Shimizu Japan Takahiko Shimizu's profile →
Citations per field
00.5×1.5×2.4×
Takahiko Shimizu · 1×
Citations per year

Countries citing papers authored by Hani Atamna

Since Specialization
Citations

This map shows the geographic impact of Hani Atamna'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 Hani Atamna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hani Atamna more than expected).

Fields of papers citing papers by Hani Atamna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hani Atamna. 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 Hani Atamna. The network helps show where Hani Atamna may publish in the future.

Co-authors

The 25 scholars most cited alongside Hani Atamna, 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 Hani Atamna Line = papers co-authored together Hani Atamna links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013310
2 2000263
3 2006246
4 2007238
5 2007224
6 2004210
7 2013194
8 1995187
9 1993185
10 2002182
11 2002164
12 2014149
13 2004138
14 2001138
15 1997129
16 2000117
17 2010108
18 200297
19 199693
20 201392

About Hani Atamna

Hani Atamna is a scholar working on Molecular Biology, Physiology, Cancer Research, Public Health, Environmental and Occupational Health and Biological Psychiatry, having authored 56 papers that have together received 4.8k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (10 papers), Alzheimer's disease research and treatments (9 papers), Cancer-related molecular mechanisms research (8 papers), Telomeres, Telomerase, and Senescence (7 papers), RNA modifications and cancer (7 papers), MicroRNA in disease regulation (7 papers), Tryptophan and brain disorders (6 papers) and Metabolism and Genetic Disorders (5 papers). The work is most often cited by research in Aging (290 citations), Biological Psychiatry (164 citations), Physiology (1.4k citations), Cancer Research (694 citations) and Molecular Biology (2.6k citations). Hani Atamna has collaborated with scholars based in United States, Israel and Poland. Frequent co-authors include Bruce N. Ames, Hagai Ginsburg, William H. Frey, Kathleen Boyle, Joseph M. Dhahbi, David W. Killilea, Stephen R. Spindler, Dario Boffelli, David I. K. Martin and Jiankang Liu. Their work appears in journals such as The FASEB Journal, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Molecular and Biochemical Parasitology and Aging Cell.

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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