Christopher DeSevo

952 citations
5 papers · 530 · h-index 4

Impact in

  • Genetics top 10%
    • Evolution and Genetic Dynamics
    • Fungal and yeast genetics research
    • Microbial Metabolic Engineering and Bioproduction
    • Genomics and Phylogenetic Studies
    • CRISPR and Genetic Engineering

Papers in

    • Fungal and yeast genetics research 3
    • CRISPR and Genetic Engineering 1
    • Genomics and Phylogenetic Studies 1
    • Evolution and Genetic Dynamics 3
    • Genetic Mapping and Diversity in Plants and Animals 1

Christopher DeSevo

5 papers receiving 527 citations

Peers

Christopher DeSevo
Comparison fields: 5 of 65
  • Genetics 205
  • Molecular Biology 424
  • Cancer Research 78
  • Food Science 77
  • Plant Science 142
Replace Koodali T Nishant with:
Koodali T Nishant India
Amber Sorenson United States
Ayelet Maor-Shoshani Israel
Tomáš Mašek Czechia
Jeremy D. Amon United States
Wade M. Hicks United States
Evgueny Kroll United States
Milo B. Fasken United States
Yoav Voichek Israel
Clemency Jolly United States
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Citations per field
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Koodali T Nishant · 1×
Citations per year

Countries citing papers authored by Christopher DeSevo

Since Specialization
Citations

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

Fields of papers citing papers by Christopher DeSevo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

5 of 5 papers shown
#Work
1 2008336
2 201288
3 201785
4 201720
5 20111

About Christopher DeSevo

Christopher DeSevo is a scholar working on Molecular Biology, Genetics, Cancer Research, Pathology and Forensic Medicine and Oncology, having authored 5 papers that have together received 530 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (3 papers), Evolution and Genetic Dynamics (3 papers), MicroRNA in disease regulation (2 papers), Cancer-related molecular mechanisms research (2 papers), Cytokine Signaling Pathways and Interactions (1 paper), Genetic Mapping and Diversity in Plants and Animals (1 paper), CRISPR and Genetic Engineering (1 paper) and Genomics and Phylogenetic Studies (1 paper). The work is most often cited by research in Genetics (205 citations), Molecular Biology (424 citations), Cancer Research (78 citations), Food Science (77 citations) and Plant Science (142 citations). Christopher DeSevo has collaborated with scholars based in United States. Frequent co-authors include Dave A. Pai, Cheryl M. Tucker, Maitreya J. Dunham, Michael M. Desai, David Gresham, Alexandra Ward, David Botstein, Margaret L. Hoang, Caiti Smukowski Heil and Chin-Rang Yang. Their work appears in journals such as PLoS Genetics, Molecular Biology and Evolution, PLoS ONE and Cancer Research.

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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