Mick Correll

2.1k citations
36 papers · 1.2k · h-index 18

Impact in

Papers in

    • Bioinformatics and Genomic Networks 6
    • RNA modifications and cancer 6
    • Gene expression and cancer classification 4
    • Cancer Genomics and Diagnostics 4
    • MicroRNA in disease regulation 4
    • Cancer-related molecular mechanisms research 3

Mick Correll

35 papers receiving 1.2k citations

Peers

Mick Correll
Comparison fields: 5 of 97
  • Periodontics 58
  • Cancer Research 169
  • Genetics 92
  • Molecular Biology 585
  • Oncology 187
Replace Ravindran Ankathil with:
Ravindran Ankathil Malaysia
Iman El‐Hariry United Kingdom
Naoko Okayama Japan
Alastair Droop United Kingdom
Jean‐Pascal Machiels Belgium
Kazuyasu Fujii Japan
Camari Ferguson United States
Katie Meehan Australia
Seija Grénman Finland
Kathrin Scheckenbach Germany
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Citations per field
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Citations per year

Countries citing papers authored by Mick Correll

Since Specialization
Citations

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

Fields of papers citing papers by Mick Correll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011257
2 2014136
3 2011123
4 201188
5 200978
6 201259
7 201151
8 201246
9 201138
10 202137
11 200935
12 201431
13 201330
14 202125
15 201323
16 201323
17 201121
18 201120
19 201317
20 20137

About Mick Correll

Mick Correll is a scholar working on Molecular Biology, Cancer Research, Genetics, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), RNA modifications and cancer (6 papers), Cancer Genomics and Diagnostics (4 papers), Gene expression and cancer classification (4 papers), Chronic Lymphocytic Leukemia Research (4 papers), MicroRNA in disease regulation (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Periodontics (58 citations), Cancer Research (169 citations), Genetics (92 citations), Molecular Biology (585 citations) and Oncology (187 citations). Mick Correll has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include John Quackenbush, Yaoyu E. Wang, Frédéric Bienvenu, David M. Livingston, Allan Clark, Agnieszka Zagożdżon, Tapasree Goswami, Aedín C. Culhane, Thomas A. Kunkel and Siwanon Jirawatnotai. Their work appears in journals such as Nucleic Acids Research, PLoS ONE, Blood, Genomics 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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