Leslie Cope

98.2k citations
132 papers · 10.3k indexed · 2 hit papers · h-index 41

Impact in

    • Cancer-related molecular mechanisms research
    • Cancer Genomics and Diagnostics
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • Gene expression and cancer classification
    • Bioinformatics and Genomic Networks
    • Genomics and Chromatin Dynamics
    • Cancer-related gene regulation

Papers in

Leslie Cope

129 papers receiving 10.2k citations

Hit Papers

A stem cell–like chromatin pattern may predispose tumor suppressor genes to DNA hypermethylation and heritable silencing 2007 · 805 citations
805200420262011201810002.0k3.0k4.0k

Peers

Leslie Cope
Comparison fields: 5 of 157
  • Cancer Research 2.4k
  • Molecular Biology 6.7k
  • Reproductive Medicine 694
  • Oncology 1.9k
  • Immunology 1.0k
Replace Peter J. van der Spek with:
Peter J. van der Spek Netherlands
Rork Kuick United States
David E. Misek United States
Chen Wang China
Mark J. Arends United Kingdom
Fredrik Pontén Sweden
Joshy George United States
Rakesh Kumar United States
Long Yu China
Li Li China
Leslie Cope relative to Peter J. van der Spek Netherlands Peter J. van der Spek's profile →
Citations per field
00.5×1.5×1.9×
Peter J. van der Spek · 1×
Citations per year

Countries citing papers authored by Leslie Cope

Since Specialization
Citations

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

Fields of papers citing papers by Leslie Cope

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20247
2 20231
3 20231
4 202212
5 202021
6 201922
7 201899
8 201842
9 201630
10 2016133
11 201445
12 201435
13 2014118
14 201376
15 2011159
16 201023
17 200894
18 2008162
19 200841
20 200626

About Leslie Cope

Leslie Cope is a scholar working on Cancer Research, Reproductive Medicine, Molecular Biology, Oncology and Pathology and Forensic Medicine, having authored 132 papers that have together received 10.3k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (40 papers), Cancer Genomics and Diagnostics (30 papers), Gene expression and cancer classification (19 papers), Genomics and Chromatin Dynamics (14 papers), Bioinformatics and Genomic Networks (11 papers), Ovarian cancer diagnosis and treatment (10 papers), Cancer-related gene regulation (10 papers) and Pancreatic and Hepatic Oncology Research (9 papers). The work is most often cited by research in Cancer Research (2.4k citations), Molecular Biology (6.7k citations), Reproductive Medicine (694 citations), Oncology (1.9k citations) and Immunology (1.0k citations). Leslie Cope has collaborated with scholars based in United States, Belgium and Russia. Frequent co-authors include Rafael A. Irizarry, Laurent Gautier, Benjamin M. Bolstad, Stephen B. Baylin, James G. Herman, Kornel E. Schuebel, Wayne Yu, Giovanni Parmigiani, Robert J. Kurman and Ie‐Ming Shih. Their work appears in journals such as Cancer Research, PLoS ONE, Blood, Clinical Cancer Research and Journal of Clinical Oncology.

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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