Christopher DeBoever

3.0k citations
22 papers · 853 · h-index 14

Impact in

  • Genetics top 10%
    • Genetic Associations and Epidemiology
    • Chronic Lymphocytic Leukemia Research
    • RNA Research and Splicing
    • RNA modifications and cancer
    • RNA and protein synthesis mechanisms
    • CRISPR and Genetic Engineering
    • Pluripotent Stem Cells Research

Papers in

    • RNA modifications and cancer 5
    • RNA Research and Splicing 4
    • Bioinformatics and Genomic Networks 4
    • RNA and protein synthesis mechanisms 2
    • Genomics and Chromatin Dynamics 2
    • Genetic Associations and Epidemiology 6
    • Genomics and Rare Diseases 3

Christopher DeBoever

22 papers receiving 849 citations

Peers

Christopher DeBoever
Comparison fields: 5 of 79
  • Genetics 85
  • Molecular Biology 555
  • Genetics 197
  • Hematology 75
  • Cancer Research 89
Replace Erikjan Rijkers with:
Erikjan Rijkers Netherlands
Sven Fraterman Germany
Qing‐Shuo Zhang United States
Anne Laugesen Denmark
Filipe V. Jacinto Spain
Tianyuan Zhou United States
Emily J. Rendleman United States
Pilar López‐Nieva Spain
Dillon Phan United States
Roberto Tonelli Italy
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Citations per field
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Citations per year

Countries citing papers authored by Christopher DeBoever

Since Specialization
Citations

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

Fields of papers citing papers by Christopher DeBoever

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015160
2 2016111
3 201797
4 201789
5 201862
6 202058
7 201556
8 201940
9 201631
10 201930
11 202029
12 201718
13 202018
14 201013
15 201213
16 20138
17 20177
18 20215
19 20243
20 20152

About Christopher DeBoever

Christopher DeBoever is a scholar working on Molecular Biology, Genetics, Genetics, Immunology and Cancer Research, having authored 22 papers that have together received 853 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), RNA modifications and cancer (5 papers), RNA Research and Splicing (4 papers), Bioinformatics and Genomic Networks (4 papers), Genomics and Rare Diseases (3 papers), Galectins and Cancer Biology (2 papers), RNA and protein synthesis mechanisms (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Genetics (85 citations), Molecular Biology (555 citations), Genetics (197 citations), Hematology (75 citations) and Cancer Research (89 citations). Christopher DeBoever has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Kelly A. Frazer, Kristen Jepsen, Dennis A. Carson, Christian Barrett, Thomas J. Kipps, Laura Z. Rassenti, Emanuela M. Ghia, Catriona Jamieson, Peter J. Shepard and Manuel A. Rivas. Their work appears in journals such as Nature Communications, PLoS ONE, Blood, BMC Bioinformatics and The American Journal of Human Genetics.

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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