Mick Correll
Impact in
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
- Periodontics top 5%
- Oral microbiology and periodontitis research
Papers in
- Genetics 5
- Chronic Lymphocytic Leukemia Research 5
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- MicroRNA in disease regulation 2
- Cancer Genomics and Diagnostics 2
- Co-authors
- Quackenbush John (16 shared papers)Yaoyu E. Wang (8 shared papers)Steven P. Gygi (1 shared paper)Joshua Eric Elias (1 shared paper)Tapasree Goswami (1 shared paper)Thomas A. Kunkel (1 shared paper)Yiduo Hu (1 shared paper)David M. Livingston (1 shared paper)
- Journals
- Nucleic Acids Research (4 papers)Blood (3 papers)Nature (2 papers)PLoS ONE (2 papers)Genomics (2 papers)
- Partner nations
- United StatesBelgiumCanada
In The Last Decade
Mick Correll
35 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 68
- Genetics 100
- Periodontics 62
- Cancer Research 87
- Molecular Biology 365
- Oncology 114
Countries citing papers authored by Mick Correll
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
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.
All Works
Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 324 | |
| 2 | 2011 | 283 | |
| 3 | 2014 | 159 | |
| 4 | 2011 | 133 | |
| 5 | 2011 | 92 | |
| 6 | 2009 | 81 | |
| 7 | 2012 | 75 | |
| 8 | 2011 | 54 | |
| 9 | 2012 | 47 | |
| 10 | 2009 | 43 | |
| 11 | 2021 | 43 | |
| 12 | 2011 | 42 | |
| 13 | 2021 | 41 | |
| 14 | 2013 | 36 | |
| 15 | 2014 | 33 | |
| 16 | 2013 | 28 | |
| 17 | 2013 | 25 | |
| 18 | 2011 | 24 | |
| 19 | 2016 | 23 | |
| 20 | 2011 | 22 |
About Mick Correll
Mick Correll is a scholar working on Genetics, Cancer Research, Hematology, Infectious Diseases and Pulmonary and Respiratory Medicine, having authored 35 papers that have together received 1.7k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (5 papers), COVID-19 Clinical Research Studies (3 papers), Bioinformatics and Genomic Networks (3 papers), Acute Myeloid Leukemia Research (2 papers), MicroRNA in disease regulation (2 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (2 papers), Cancer Genomics and Diagnostics (2 papers) and Electronic Health Records Systems (1 paper). The work is most often cited by research in Genetics (100 citations), Periodontics (62 citations), Cancer Research (87 citations), Molecular Biology (365 citations) and Oncology (114 citations). Mick Correll has collaborated with scholars based in United States, Belgium and Canada. Frequent co-authors include Quackenbush John, Yaoyu E. Wang, Steven P. Gygi, Joshua Eric Elias, Tapasree Goswami, Thomas A. Kunkel, Yiduo Hu, David M. Livingston, Agnieszka Zagożdżon and Frédéric Bienvenu. Their work appears in journals such as Nucleic Acids Research, Blood, Nature, PLoS ONE and Genomics.
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.