Moises Serrano

598 citations
17 papers · 420 · h-index 9

Impact in

    • Carcinogens and Genotoxicity Assessment
    • Cancer, Lipids, and Metabolism
    • Cancer, Hypoxia, and Metabolism
    • Cancer-related Molecular Pathways
    • PARP inhibition in cancer therapy

Papers in

    • DNA Repair Mechanisms 5
    • Genomic variations and chromosomal abnormalities 6
    • Genomics and Rare Diseases 5
    • Genetics and Neurodevelopmental Disorders 2

Moises Serrano

17 papers receiving 414 citations

Peers

Moises Serrano
Comparison fields: 5 of 60
  • Cancer Research 104
  • Oncology 114
  • Molecular Biology 278
  • Aging 5
  • Genetics 73
Replace Alicia Subtil‐Rodríguez with:
Alicia Subtil‐Rodríguez Spain
Catherine Borg‐Capra France
Anna Sawicka Austria
Nobutake Akiyama Japan
Jacqueline Gayet United States
Carolina Perez-Castro Argentina
María F. Ogara Argentina
Pablo Villavicencio‐Lorini Germany
Martin Kerr United Kingdom
Sonia M. Dubois France
Moises Serrano relative to Alicia Subtil‐Rodríguez Spain Alicia Subtil‐Rodríguez's profile →
Citations per field
00.5×4.3×
Alicia Subtil‐Rodríguez · 1×
Citations per year

Countries citing papers authored by Moises Serrano

Since Specialization
Citations

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

Fields of papers citing papers by Moises Serrano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201290
2 201676
3 201569
4 200962
5 201923
6 201123
7 201821
8 201615
9 201313
10 20178
11 20236
12 20196
13 20203
14 20192
15 20221
16 20121
17 20231

About Moises Serrano

Moises Serrano is a scholar working on Molecular Biology, Genetics, Cancer Research, Oncology and Pediatrics, Perinatology and Child Health, having authored 17 papers that have together received 420 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (6 papers), Genomics and Rare Diseases (5 papers), DNA Repair Mechanisms (5 papers), Cancer-related Molecular Pathways (3 papers), Carcinogens and Genotoxicity Assessment (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Prenatal Screening and Diagnostics (2 papers). The work is most often cited by research in Cancer Research (104 citations), Oncology (114 citations), Molecular Biology (278 citations), Aging (5 citations) and Genetics (73 citations). Moises Serrano has collaborated with scholars based in United States, Canada and United Arab Emirates. Frequent co-authors include Phillip R. Musich, Zhengke Li, Yue Zou, Marina Roginskaya, Sheila Patrick, B. Cartwright, Yunfeng Zou, Jian‐Ting Zhang, Xi Wu and Zizheng Dong. Their work appears in journals such as Journal of Personalized Medicine, Scientific Reports, Molecular Cell, BioMed Research International and PLoS ONE.

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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