Christopher C. Oakes

5.7k citations
70 papers · 2.5k · h-index 27

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics
  • Genetics top 2%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Epigenetics and DNA Methylation 19
    • RNA modifications and cancer 8
    • Cancer-related gene regulation 6
    • Chronic Lymphocytic Leukemia Research 27

Christopher C. Oakes

64 papers receiving 2.5k citations

Peers

Christopher C. Oakes
Comparison fields: 5 of 104
  • Cancer Research 638
  • Genetics 390
  • Hematology 263
  • Molecular Biology 1.6k
  • Reproductive Medicine 149
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Genta Nagae Japan
Jean‐Pierre Magaud France
Steven Goossens Belgium
Stephen M. Sykes United States
Lluís Morey United States
François Gaudet United States
Aliza Amiel Israel
Ichiro Onoyama Japan
Lucio H. Castilla United States
Sridhar Rao United States
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Citations per field
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Citations per year

Countries citing papers authored by Christopher C. Oakes

Since Specialization
Citations

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

Fields of papers citing papers by Christopher C. Oakes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014225
2 2014194
3 2007176
4 2003141
5 2015140
6 2006120
7 2013110
8 201696
9 201290
10 200684
11 200773
12 200872
13 201062
14 201460
15 200756
16 201551
17 201350
18 201646
19 201642
20 202042

About Christopher C. Oakes

Christopher C. Oakes is a scholar working on Molecular Biology, Genetics, Immunology, Pathology and Forensic Medicine and Oncology, having authored 70 papers that have together received 2.5k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (27 papers), Epigenetics and DNA Methylation (19 papers), Lymphoma Diagnosis and Treatment (13 papers), Immune Cell Function and Interaction (9 papers), Acute Myeloid Leukemia Research (9 papers), RNA modifications and cancer (8 papers), Viral-associated cancers and disorders (7 papers) and Cancer-related gene regulation (6 papers). The work is most often cited by research in Cancer Research (638 citations), Genetics (390 citations), Hematology (263 citations), Molecular Biology (1.6k citations) and Reproductive Medicine (149 citations). Christopher C. Oakes has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Jacquetta M. Trasler, Bernard Robaire, Christoph Plass, Sophie La Salle, Dominic J. Smiraglia, John C. Byrd, Guido Marcucci, Rainer Claus, Thorsten Zenz and William Blum. Their work appears in journals such as Blood, Blood Advances, Leukemia, The Journal of Immunology 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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