Hani Atamna

6.0k total citations
56 papers, 4.8k citations indexed

About

Hani Atamna is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Hani Atamna has authored 56 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 21 papers in Physiology and 12 papers in Cancer Research. Recurrent topics in Hani Atamna's work include Mitochondrial Function and Pathology (10 papers), Alzheimer's disease research and treatments (9 papers) and Cancer-related molecular mechanisms research (8 papers). Hani Atamna is often cited by papers focused on Mitochondrial Function and Pathology (10 papers), Alzheimer's disease research and treatments (9 papers) and Cancer-related molecular mechanisms research (8 papers). Hani Atamna collaborates with scholars based in United States, Israel and Poland. Hani Atamna's co-authors include Bruce N. Ames, Hagai Ginsburg, William H. Frey, Kathleen Boyle, Joseph M. Dhahbi, David W. Killilea, Stephen R. Spindler, David I. K. Martin, Dario Boffelli and Jiankang Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Hani Atamna

55 papers receiving 4.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hani Atamna United States 37 2.6k 1.4k 694 547 424 56 4.8k
Takahiko Shimizu Japan 48 3.8k 1.4× 2.5k 1.8× 291 0.4× 399 0.7× 507 1.2× 184 7.5k
Ewa Sikora Poland 44 2.7k 1.0× 1.7k 1.2× 426 0.6× 177 0.3× 142 0.3× 131 5.3k
Jianhua Zhang United States 41 3.3k 1.2× 1.1k 0.7× 513 0.7× 151 0.3× 196 0.5× 85 6.5k
Xiaoyan Wang China 39 3.3k 1.3× 1.4k 1.0× 636 0.9× 99 0.2× 377 0.9× 251 6.8k
Fei Yin China 42 2.9k 1.1× 1.5k 1.1× 572 0.8× 181 0.3× 282 0.7× 133 6.2k
John T. Pinto United States 35 1.7k 0.7× 836 0.6× 465 0.7× 129 0.2× 409 1.0× 96 4.3k
Luisa Diomede Italy 34 2.2k 0.8× 989 0.7× 196 0.3× 179 0.3× 581 1.4× 117 4.1k
Helena M. Cochemé United Kingdom 30 3.8k 1.4× 1.4k 0.9× 285 0.4× 133 0.2× 347 0.8× 40 6.3k
Florian L. Müller United States 34 4.1k 1.6× 1.8k 1.3× 520 0.7× 123 0.2× 251 0.6× 71 6.5k
Amy Deik United States 28 2.7k 1.0× 1.0k 0.7× 1.2k 1.7× 360 0.7× 247 0.6× 55 4.7k

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-authorship network of co-authors of Hani Atamna

This figure shows the co-authorship network connecting the top 25 collaborators of Hani Atamna. A scholar is included among the top collaborators of Hani Atamna based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hani Atamna. Hani Atamna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Dhahbi, Joseph, Hani Atamna, Marcelo Borges Cavalcante, et al.. (2021). Specific PIWI-Interacting RNAs and Related Small Noncoding RNAs Are Associated With Ovarian Aging in Ames Dwarf (df/df) Mice. The Journals of Gerontology Series A. 76(9). 1561–1570. 4 indexed citations
2.
Dhahbi, Joseph M., Yury O. Núñez López, Augusto Schneider, et al.. (2019). Profiling of tRNA Halves and YRNA Fragments in Serum and Tissue From Oral Squamous Cell Carcinoma Patients Identify Key Role of 5′ tRNA-Val-CAC-2-1 Half. Frontiers in Oncology. 9. 959–959. 21 indexed citations
3.
Atamna, Hani, et al.. (2018). Organ reserve, excess metabolic capacity, and aging. Biogerontology. 19(2). 171–184. 36 indexed citations
4.
Pertzov, Barak, Noa Eliakim‐Raz, Hani Atamna, et al.. (2018). Hydroxymethylglutaryl-CoA reductase inhibitors (statins) for the treatment of sepsis in adults – A systematic review and meta-analysis. Clinical Microbiology and Infection. 25(3). 280–289. 45 indexed citations
5.
Atamna, Hani, et al.. (2012). Mitochondrial pharmacology: Electron transport chain bypass as strategies to treat mitochondrial dysfunction. BioFactors. 38(2). 158–166. 50 indexed citations
6.
Dhahbi, Joseph M., Hani Atamna, Dario Boffelli, et al.. (2011). Deep Sequencing Reveals Novel MicroRNAs and Regulation of MicroRNA Expression during Cell Senescence. PLoS ONE. 6(5). e20509–e20509. 72 indexed citations
7.
Atamna, Hani & Raj Kumar. (2010). Protective Role of Methylene Blue in Alzheimer's Disease via Mitochondria and Cytochrome c Oxidase. Journal of Alzheimer s Disease. 20(s2). S439–S452. 108 indexed citations
8.
Atamna, Hani, et al.. (2009). Human and rodent amyloid-β peptides differentially bind heme: Relevance to the human susceptibility to Alzheimer’s disease. Archives of Biochemistry and Biophysics. 487(1). 59–65. 78 indexed citations
9.
Lloret, Ana, Mari-Carmen Badía, Nancy Judith Mora, et al.. (2008). Gender and age-dependent differences in the mitochondrial apoptogenic pathway in Alzheimer's disease. Free Radical Biology and Medicine. 44(12). 2019–2025. 53 indexed citations
10.
Atamna, Hani & William H. Frey. (2007). Mechanisms of mitochondrial dysfunction and energy deficiency in Alzheimer’s disease. Mitochondrion. 7(5). 297–310. 224 indexed citations
11.
Ames, Bruce N., Hani Atamna, & David W. Killilea. (2005). Mineral and vitamin deficiencies can accelerate the mitochondrial decay of aging. Molecular Aspects of Medicine. 26(4-5). 363–378. 90 indexed citations
12.
Killilea, David W., et al.. (2004). Iron Accumulation during Cellular Senescence. Annals of the New York Academy of Sciences. 1019(1). 365–367. 79 indexed citations
13.
Atamna, Hani. (2004). Heme, iron, and the mitochondrial decay of ageing. Ageing Research Reviews. 3(3). 303–318. 138 indexed citations
14.
Atamna, Hani, Patrick B. Walter, & Bruce N. Ames. (2002). The Role of Heme and Iron-Sulfur Clusters in Mitochondrial Biogenesis, Maintenance, and Decay with Age. Archives of Biochemistry and Biophysics. 397(2). 345–353. 97 indexed citations
15.
Atamna, Hani, Andrés Paler-Martı́nez, & Bruce N. Ames. (2000). N-t-Butyl Hydroxylamine, a Hydrolysis Product of α-Phenyl-N-t-butyl Nitrone, Is More Potent in Delaying Senescence in Human Lung Fibroblasts. Journal of Biological Chemistry. 275(10). 6741–6748. 117 indexed citations
16.
Atamna, Hani & Hagai Ginsburg. (1997). The Malaria Parasite Supplies Glutathione to its Host Cell — Investigation of Glutathione Transport and Metabolism in Human Erythrocytes Infected with Plasmodium Falciparum. European Journal of Biochemistry. 250(3). 670–679. 129 indexed citations
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19.
Atamna, Hani & Hagai Ginsburg. (1995). Heme Degradation in the Presence of Glutathione. Journal of Biological Chemistry. 270(42). 24876–24883. 187 indexed citations
20.
Atamna, Hani & Hagai Ginsburg. (1993). Origin of reactive oxygen species in erythrocytes infected with Plasmodium falciparum. Molecular and Biochemical Parasitology. 61(2). 231–241. 185 indexed citations

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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