Eva Migon

1.2k citations
9 papers · 1.0k · h-index 9

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Phagocytosis and Immune Regulation
  • Cell Biology top 10%
    • Hippo pathway signaling and YAP/TAZ

Papers in

    • DNA Repair Mechanisms 4
    • Protein Tyrosine Phosphatases 2
    • Genomics and Chromatin Dynamics 2
    • Epigenetics and DNA Methylation 2
    • Cell death mechanisms and regulation 2
    • Ubiquitin and proteasome pathways 2
    • Microtubule and mitosis dynamics 2

Eva Migon

9 papers receiving 994 citations

Peers

Eva Migon
Comparison fields: 5 of 74
  • Immunology 263
  • Cell Biology 196
  • Cancer Research 175
  • Molecular Biology 782
  • Aging 17
Replace Willem den Besten with:
Willem den Besten United States
Anna E. Burrows United States
Tom Sculley Australia
Juinn-Lin Liu United States
Abdallah Al-Hakim Canada
Petra Langerak Netherlands
Kari Högstrand Sweden
Zhen-Qiang Pan United States
Tiffany A. Melhuish United States
Jennifer G. Beaumont Australia
Eva Migon relative to Willem den Besten United States Willem den Besten's profile →
Citations per field
00.5×2.8×
Willem den Besten · 1×
Citations per year

Countries citing papers authored by Eva Migon

Since Specialization
Citations

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

Fields of papers citing papers by Eva Migon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2003396
2 2004168
3 2004159
4 200869
5 200061
6 200659
7 200454
8 201727
9 201615

About Eva Migon

Eva Migon is a scholar working on Molecular Biology, Cell Biology, Immunology, Physiology and Aging, having authored 9 papers that have together received 1.0k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (4 papers), Protein Tyrosine Phosphatases (2 papers), Genomics and Chromatin Dynamics (2 papers), Epigenetics and DNA Methylation (2 papers), Cell death mechanisms and regulation (2 papers), Ubiquitin and proteasome pathways (2 papers), Microtubule and mitosis dynamics (2 papers) and Telomeres, Telomerase, and Senescence (1 paper). The work is most often cited by research in Immunology (263 citations), Cell Biology (196 citations), Cancer Research (175 citations), Molecular Biology (782 citations) and Aging (17 citations). Eva Migon has collaborated with scholars based in Canada, United States and Singapore. Frequent co-authors include Razqallah Hakem, Bénédicte Lemmers, Elzbieta Matysiak‐Zablocki, Anne Hakem, Amro Shehabeldin, Laura Tamblyn, Leonardo Salmena, M. Prakash Hande, Andrew Wakeham and Denis Bouchard. Their work appears in journals such as Genes & Development, The EMBO Journal, Human Molecular Genetics, Science and OncoImmunology.

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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