Manuel Serrano

76.0k citations
271 papers · 52.5k indexed · 18 hit papers · h-index 81
  • Aging top 0.01%
    • Genetics, Aging, and Longevity in Model Organisms 20
  • Physiology top 0.02%
    • Telomeres, Telomerase, and Senescence 61
  • Oncology top 0.05%
    • Cancer-related Molecular Pathways 69
    • Epigenetics and DNA Methylation 33
    • Pluripotent Stem Cells Research 32
    • RNA modifications and cancer 22
    • CRISPR and Genetic Engineering 21
    • Ubiquitin and proteasome pathways 18

Manuel Serrano

267 papers receiving 51.8k citations

Hit Papers

Hallm...3.0k19932026200420152.5k5.0k7.5k10.0k

Peers

Manuel Serrano
Comparison fields: 5 of 193
  • Aging 5.2k
  • Geriatrics and Gerontology 2.9k
  • Physiology 16.2k
  • Oncology 12.7k
  • Molecular Biology 31.1k
Replace Judith Campisi with:
Judith Campisi United States
Toren Finkel United States
Ronald A. DePinho United States
Carlos López-Otı́n Spain
Marı́a A. Blasco Spain
Anne Brunet United States
Vilhelm A. Bohr United States
C. Ronald Kahn United States
Beth Levine United States
Eric Verdin United States
Manuel Serrano relative to Judith Campisi United States Judith Campisi's profile →
Citations per field
00.5×1.5×
Judith Campisi · 1×
Citations per year

Countries citing papers authored by Manuel Serrano

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Serrano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20245
3 20245
4 20242
5 20246
6 202424
7 202322
8 202327
9 202262
10 20211
11 202120
12 202058
13 201841
14 2016182
15 201361
16 200973
17 200966
18 2007105
19 200772
20 200539

About Manuel Serrano

Manuel Serrano is a scholar working on Aging, Geriatrics and Gerontology and Physiology, having authored 271 papers that have together received 52.5k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (69 papers), Telomeres, Telomerase, and Senescence (61 papers), Epigenetics and DNA Methylation (33 papers), Pluripotent Stem Cells Research (32 papers), RNA modifications and cancer (22 papers), CRISPR and Genetic Engineering (21 papers), Genetics, Aging, and Longevity in Model Organisms (20 papers) and Ubiquitin and proteasome pathways (18 papers). The work is most often cited by research in Aging (5.2k citations), Geriatrics and Gerontology (2.9k citations) and Physiology (16.2k citations). Manuel Serrano has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Marı́a A. Blasco, Guido Kroemer, Carlos López-Otı́n, Linda Partridge, Manuel Collado, David Beach, Daniel Muñoz‐Espín, Gregory J. Hannon, Athena W. Lin and Scott Lowe. Their work appears in journals such as Oncogene, Aging Cell, Cell Cycle, Cancer Research and Nature.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026