Wayne Mitchell
- Microbiology top 0.2%
- Epidemiology top 5%
- Influenza Virus Research Studies 3
- Immunology top 5%
- Infectious Diseases top 5%
- Molecular Biology top 10%
- Mitochondrial Function and Pathology 7
- CRISPR and Genetic Engineering 3
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- Genetics, Aging, and Longevity in Model Organisms 5
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- Acute Lymphoblastic Leukemia research 5
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- Lysosomal Storage Disorders Research 4
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- Chronic Myeloid Leukemia Treatments 4
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- Chronic Lymphocytic Leukemia Research 3
- Co-authors
- Lynn OlingerRichard S. StephensC. J. LammelRonald W. DavisSue KalmanJun FanRichard AspinallQixun Zhao
- Cited by
- MicrobiologyEpidemiologyImmunology
- Partner nations
- United KingdomUnited StatesSingapore
In The Last Decade
Wayne Mitchell
46 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Microbiology 1.3k
- Epidemiology 913
- Immunology 434
- Infectious Diseases 340
- Molecular Biology 1.3k
Countries citing papers authored by Wayne Mitchell
This map shows the geographic impact of Wayne Mitchell'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 Wayne Mitchell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne Mitchell more than expected).
Fields of papers citing papers by Wayne Mitchell
This network shows the impact of papers produced by Wayne Mitchell. 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 Wayne Mitchell. The network helps show where Wayne Mitchell may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wayne Mitchell, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 14 | |
| 5 | 2022 | 16 | |
| 6 | 2020 | 85 | |
| 7 | 2019 | 1 | |
| 8 | 2017 | 1 | |
| 9 | 2014 | 116 | |
| 10 | 2014 | 61 | |
| 11 | 2011 | 7 | |
| 12 | 2009 | 107 | |
| 13 | 2008 | 34 | |
| 14 | 2007 | 219 | |
| 15 | 2007 | 2 | |
| 16 | 2004 | 39 | |
| 17 | 2003 | 24 | |
| 18 | 2001 | 39 | |
| 19 | Comparative genomes of Chlamydia pneumoniae and C. trachomatisbreakdown → | 1999 | 559 |
| 20 | 1999 | 43 |
About Wayne Mitchell
Wayne Mitchell is a scholar working on Aging, Hematology, Biological Psychiatry, Genetics and Immunology, having authored 47 papers that have together received 3.2k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (7 papers), Genetics, Aging, and Longevity in Model Organisms (5 papers), Acute Lymphoblastic Leukemia research (5 papers), Lysosomal Storage Disorders Research (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Influenza Virus Research Studies (3 papers), Chronic Lymphocytic Leukemia Research (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Microbiology (1.3k citations), Epidemiology (913 citations), Immunology (434 citations), Infectious Diseases (340 citations) and Molecular Biology (1.3k citations). Wayne Mitchell has collaborated with scholars based in United Kingdom, United States and Singapore. Frequent co-authors include Lynn Olinger, Richard S. Stephens, C. J. Lammel, Ronald W. Davis, Sue Kalman, Jun Fan, Richard Aspinall, Qixun Zhao, L. Aravind and Roman L. Tatusov. Their work appears in journals such as eLife, Blood, British Journal of Haematology, Nature Communications and Journal of Biological Chemistry.
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.