Mick Correll

2.2k citations
36 papers · 1.7k · h-index 20

Impact in

Papers in

    • Chronic Lymphocytic Leukemia Research 6
    • Cancer Genomics and Diagnostics 4
    • MicroRNA in disease regulation 4

Mick Correll

36 papers receiving 1.7k citations

Peers

Mick Correll
Comparison fields: 5 of 108
  • Cancer Research 218
  • Periodontics 63
  • Genetics 148
  • Oncology 305
  • Molecular Biology 833
Replace Yaoyu E. Wang with:
Yaoyu E. Wang United States
Pauline Funchain United States
Rashmi S. Goswami Canada
Mark Egan United Kingdom
Beth S. Ruben United States
Marcus Renner Germany
Michele L. Donato United States
Puthen Veettil Jithesh Qatar
Marbin A. Pineda United States
Mick Correll relative to Yaoyu E. Wang United States Yaoyu E. Wang's profile →
Citations per field
00.5×1.6×
Yaoyu E. Wang · 1×
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 2012323
2 2011282
3 2014157
4 2011133
5 201193
6 200981
7 201274
8 201154
9 201247
10 200942
11 202142
12 201142
13 202139
14 201336
15 201433
16 201327
17 201325
18 201124
19 201623
20 201122

About Mick Correll

Mick Correll is a scholar working on Genetics, Cancer Research, Molecular Biology, Hematology and Information Systems and Management, having authored 36 papers that have together received 1.7k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), RNA modifications and cancer (6 papers), Chronic Lymphocytic Leukemia Research (6 papers), Cancer Genomics and Diagnostics (4 papers), Gene expression and cancer classification (4 papers), MicroRNA in disease regulation (4 papers), Glycosylation and Glycoproteins Research (2 papers) and COVID-19 Clinical Research Studies (2 papers). The work is most often cited by research in Cancer Research (218 citations), Periodontics (63 citations), Genetics (148 citations), Oncology (305 citations) and Molecular Biology (833 citations). Mick Correll has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include John D. Quackenbush, Yaoyu E. Wang, Gygi Steven P., Yiduo Hu, Tapasree Goswami, Frédéric Bienvenu, Lisa Becks, Bing Xia, Agnieszka Zagożdżon and Thomas A. Kunkel. Their work appears in journals such as Nucleic Acids Research, Blood, Nature, Genomics and PLoS ONE.

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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