Jamil Nehme

2.8k total citations · 1 hit paper
7 papers, 1.9k citations indexed

About

Jamil Nehme is a scholar working on Physiology, Aging and Molecular Biology. According to data from OpenAlex, Jamil Nehme has authored 7 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 4 papers in Aging and 2 papers in Molecular Biology. Recurrent topics in Jamil Nehme's work include Telomeres, Telomerase, and Senescence (6 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and Advanced Breast Cancer Therapies (1 paper). Jamil Nehme is often cited by papers focused on Telomeres, Telomerase, and Senescence (6 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and Advanced Breast Cancer Therapies (1 paper). Jamil Nehme collaborates with scholars based in Netherlands, Lebanon and United Kingdom. Jamil Nehme's co-authors include Marco Demaria, Alejandra Hernandez‐Segura, Luigi Fontana, Michela Borghesan, Thomas G. Bird, Marta Varela-Eirín, Jacques Togo, Marc A. Seelen, Chaoqun Niu and Mariana Gaya da Costa and has published in prestigious journals such as The EMBO Journal, Trends in Cell Biology and FEBS Journal.

In The Last Decade

Jamil Nehme

7 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Hallmarks of Cellular Senescence

2018 1.8k citations Alejandra Hernandez‐Segura, Jamil Nehme et al. Trends in Cell Biology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jamil Nehme Netherlands	6	895	892	397	216	193	7	1.9k
Anat Biran Israel	10	1.1k 1.2×	892 1.0×	605 1.5×	186 0.9×	210 1.1×	11	2.1k
Yossi Ovadya Israel	14	1.3k 1.4×	1.0k 1.2×	665 1.7×	207 1.0×	223 1.2×	16	2.4k
Alejandra Hernandez‐Segura Netherlands	7	1.3k 1.4×	1.3k 1.4×	563 1.4×	241 1.1×	273 1.4×	7	2.6k
Heike Fuhrmann‐Stroissnigg United States	7	1.3k 1.4×	826 0.9×	422 1.1×	167 0.8×	146 0.8×	8	2.0k
Abdulmohammad Pezeshki United States	5	1.2k 1.4×	929 1.0×	538 1.4×	217 1.0×	207 1.1×	6	2.1k
Jaskaren Kohli Netherlands	10	602 0.7×	755 0.8×	364 0.9×	144 0.7×	217 1.1×	15	1.6k
Matthew J. Yousefzadeh United States	15	625 0.7×	1.0k 1.2×	245 0.6×	131 0.6×	195 1.0×	32	1.8k
Cynthia J. Sieben United States	11	1.4k 1.6×	1.3k 1.5×	588 1.5×	279 1.3×	255 1.3×	11	2.7k
Grace Verzosa United States	5	1.4k 1.6×	951 1.1×	532 1.3×	288 1.3×	215 1.1×	14	2.5k
Chisaka Kuehnemann United States	9	798 0.9×	689 0.8×	321 0.8×	132 0.6×	177 0.9×	10	1.5k

Countries citing papers authored by Jamil Nehme

Since Specialization

Citations

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

Fields of papers citing papers by Jamil Nehme

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jamil Nehme

This figure shows the co-authorship network connecting the top 25 collaborators of Jamil Nehme. A scholar is included among the top collaborators of Jamil Nehme 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 Jamil Nehme. Jamil Nehme is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Nehme, Jamil, Sara Bravaccini, Michele Zanoni, et al.. (2025). Pharmacological CDK4/6 inhibition promotes vulnerability to lysosomotropic agents in breast cancer. The EMBO Journal. 44(7). 1921–1942. 2 indexed citations

2.

Nehme, Jamil, Marta Varela-Eirín, Simone Brandenburg, et al.. (2024). Converting cell death into senescence by PARP1 inhibition improves recovery from acute oxidative injury. Nature Aging. 4(6). 771–782. 8 indexed citations

3.

Nehme, Jamil, et al.. (2023). The effects of macronutrients metabolism on cellular and organismal aging. Biomedical Journal. 46(3). 100585–100585. 5 indexed citations

4.

Nehme, Jamil, Dengbao Yang, Marta Varela-Eirín, et al.. (2021). High dietary protein and fat contents exacerbate hepatic senescence and SASP in mice. FEBS Journal. 290(5). 1340–1347. 13 indexed citations

5.

Nehme, Jamil, et al.. (2020). Cellular senescence as a potential mediator of COVID‐19 severity in the elderly. Aging Cell. 19(10). e13237–e13237. 66 indexed citations

6.

Fontana, Luigi, Jamil Nehme, & Marco Demaria. (2018). Caloric restriction and cellular senescence. Mechanisms of Ageing and Development. 176. 19–23. 81 indexed citations

7.

Hernandez‐Segura, Alejandra, Jamil Nehme, & Marco Demaria. (2018). Hallmarks of Cellular Senescence. Trends in Cell Biology. 28(6). 436–453. 1770 indexed citations breakdown →

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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