Nathan Gomes

597 citations
9 papers · 454 · h-index 7

Impact in

  • Virology top 10%
    • HIV Research and Treatment
    • RNA Research and Splicing
    • Genomics and Chromatin Dynamics
    • RNA modifications and cancer
    • Epigenetics and DNA Methylation
    • RNA and protein synthesis mechanisms
    • Ubiquitin and proteasome pathways

Papers in

    • RNA Research and Splicing 4
    • RNA modifications and cancer 3
    • Genomics and Chromatin Dynamics 2
    • RNA and protein synthesis mechanisms 2
    • Ubiquitin and proteasome pathways 1
    • Epigenetics and DNA Methylation 1
    • Cancer-related Molecular Pathways 4

Nathan Gomes

9 papers receiving 451 citations

Peers

Nathan Gomes
Comparison fields: 5 of 57
  • Virology 43
  • Molecular Biology 376
  • Oncology 113
  • Cancer Research 29
  • Immunology 40
Replace Daniel Horn‐Ghetko with:
Daniel Horn‐Ghetko Germany
Jennifer Joshua United States
Tetsu M.C. Yung Canada
Kohsuke Kato Japan
Edurne Gallastegui Spain
Sheng-Chung Lee Taiwan
E. Megan Flynn United States
Matthew J. Berberich United States
Martine Chevillard-Briet France
Nathan Gomes relative to Daniel Horn‐Ghetko Germany Daniel Horn‐Ghetko's profile →
Citations per field
00.5×1.5×2.4×
Daniel Horn‐Ghetko · 1×
Citations per year

Countries citing papers authored by Nathan Gomes

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Gomes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2006218
2 200591
3 201072
4 201523
5 201018
6 202017
7 20148
8 20226
9 20031

About Nathan Gomes

Nathan Gomes is a scholar working on Molecular Biology, Oncology, Virology, Cellular and Molecular Neuroscience and Cell Biology, having authored 9 papers that have together received 454 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (4 papers), RNA Research and Splicing (4 papers), RNA modifications and cancer (3 papers), Genomics and Chromatin Dynamics (2 papers), HIV Research and Treatment (2 papers), RNA and protein synthesis mechanisms (2 papers), Ubiquitin and proteasome pathways (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Virology (43 citations), Molecular Biology (376 citations), Oncology (113 citations), Cancer Research (29 citations) and Immunology (40 citations). Nathan Gomes has collaborated with scholars based in United States. Frequent co-authors include Joaquı́n M. Espinosa, S.A. Szostek, Beverly M. Emerson, Briardo Llorente, Glen A. Bjerke, Vanessa Brès, Katherine A. Jones, Loni Pickle, Tin Tin Su and Barbara Frederick. Their work appears in journals such as Genes & Development, Radiation Research, Cell Cycle, Cancer Research and Methods in enzymology on CD-ROM/Methods in enzymology.

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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