Jesús Gil

29.3k citations
120 papers · 14.7k indexed · 8 hit papers · h-index 54

Impact in

  • Aging top 0.2%
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 8
    • Telomeres, Telomerase, and Senescence 45

Jesús Gil

118 papers receiving 14.5k citations

Hit Papers

Senescence and the SASP: many therapeutic avenues 2020 · 775 citations
77520052026201220194008001.2k

Peers

Jesús Gil
Comparison fields: 5 of 172
  • Aging 632
  • Cancer Research 3.1k
  • Physiology 3.7k
  • Molecular Biology 9.7k
  • Immunology 2.7k
Replace Fabrizio d’Adda di Fagagna with:
Fabrizio d’Adda di Fagagna Italy
Roderick L. Beijersbergen Netherlands
Masashi Narita United Kingdom
Lawrence A. Donehower United States
Eiji Hara Japan
Michael C. Bassik United States
Pidder Jansen‐Dürr Austria
Esteban Ballestar Spain
Wenyi Wei United States
Glynis Scott United States
Jesús Gil relative to Fabrizio d’Adda di Fagagna Italy Fabrizio d’Adda di Fagagna's profile →
Citations per field
00.5×1.5×
Fabrizio d’Adda di Fagagna · 1×
Citations per year

Countries citing papers authored by Jesús Gil

Since Specialization
Citations

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

Fields of papers citing papers by Jesús Gil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 202439
3 202411
4 20232
5 202279
6 202114
7 2020123
8 20201
9 2020123
10 201784
11 201534
12
Libia y Yemen: comunidad tribal y guerra civil
20111
13 201189
14
Molecular Interplay of the Noncoding RNA ANRIL and Methylated Histone H3 Lysine 27 by Polycomb CBX7 in Transcriptional Silencing of INK4a
Hit paper breakdown →
20101122
15 200912
16 200596
17
Glycolytic Enzymes Can Modulate Cellular Life Span
Hit paper breakdown →
2005525
18 2005125
19 20049
20 2003151

About Jesús Gil

Jesús Gil is a scholar working on Aging, Physiology, Immunology, Molecular Biology and Virology, having authored 120 papers that have together received 14.7k indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (45 papers), Epigenetics and DNA Methylation (22 papers), Genomics and Chromatin Dynamics (14 papers), RNA regulation and disease (12 papers), interferon and immune responses (10 papers), Pluripotent Stem Cells Research (9 papers), Genetics, Aging, and Longevity in Model Organisms (8 papers) and CRISPR and Genetic Engineering (8 papers). The work is most often cited by research in Aging (632 citations), Cancer Research (3.1k citations), Physiology (3.7k citations), Molecular Biology (9.7k citations) and Immunology (2.7k citations). Jesús Gil has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Gordon Peters, Mariano Estéban, Domhnall McHugh, Jodie Birch, David Bernard, David Beach, Juan Carlos Acosta, Ana Banito, Selina Raguz and Martin J. Walsh. Their work appears in journals such as Genes & Development, Oncogene, Nature Cell Biology, Nature Aging and Nature Communications.

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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