Mark S. Chee
- Molecular Biology top 1%
- Gene expression and cancer classification 12
- Molecular Biology Techniques and Applications 7
- Advanced biosensing and bioanalysis techniques 7
- RNA Research and Splicing 5
- RNA modifications and cancer 4
- Genomics and Chromatin Dynamics 4
- Virology top 2%
- Genetics top 1%
- Cancer Research top 2%
- Infectious Diseases top 5%
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- Cytomegalovirus and herpesvirus research 5
- Herpesvirus Infections and Treatments 4
- Co-authors
- David J. LockhartKevin L. GundersonEugene L. BrownChunwei WangHelin DongMichiko KobayashiMichael C. ByrneMaximillian T. Follettie
- Cited by
- Molecular BiologyVirologyGenetics
- Partner nations
- United StatesUnited KingdomCroatia
In The Last Decade
Mark S. Chee
35 papers receiving 7.8k citations
Hit Papers
Peers
Comparison fields: 5 of 155
- Molecular Biology 5.8k
- Virology 293
- Genetics 1.5k
- Cancer Research 807
- Infectious Diseases 390
Countries citing papers authored by Mark S. Chee
This map shows the geographic impact of Mark S. Chee'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 Mark S. Chee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark S. Chee more than expected).
Fields of papers citing papers by Mark S. Chee
This network shows the impact of papers produced by Mark S. Chee. 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 Mark S. Chee. The network helps show where Mark S. Chee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark S. Chee, 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 | 2020 | 0 | |
| 2 | 2012 | 13 | |
| 3 | 2010 | 110 | |
| 4 | 2010 | 157 | |
| 5 | 2009 | 98 | |
| 6 | 2009 | 42 | |
| 7 | 2006 | 488 | |
| 8 | 2005 | 458 | |
| 9 | 2004 | 139 | |
| 10 | 2004 | 144 | |
| 11 | 2004 | 222 | |
| 12 | 2004 | 148 | |
| 13 | 2000 | 164 | |
| 14 | 1996 | 405 | |
| 15 | 1996 | 413 | |
| 16 | Expression monitoring by hybridization to high-density oligonucleotide arraysbreakdown → | 1996 | 2246 |
| 17 | 1991 | 1 | |
| 18 | 1991 | 8 | |
| 19 | 1991 | 4 | |
| 20 | 1990 | 13 |
About Mark S. Chee
Mark S. Chee is a scholar working on Molecular Biology, Cancer Research and Geriatrics and Gerontology, having authored 37 papers that have together received 8.2k indexed citations. Recurring topics across this work include Gene expression and cancer classification (12 papers), Molecular Biology Techniques and Applications (7 papers), Advanced biosensing and bioanalysis techniques (7 papers), Cytomegalovirus and herpesvirus research (5 papers), RNA Research and Splicing (5 papers), RNA modifications and cancer (4 papers), Herpesvirus Infections and Treatments (4 papers) and Genomics and Chromatin Dynamics (4 papers). The work is most often cited by research in Molecular Biology (5.8k citations), Virology (293 citations) and Genetics (1.5k citations). Mark S. Chee has collaborated with scholars based in United States, United Kingdom and Croatia. Frequent co-authors include David J. Lockhart, Kevin L. Gunderson, Eugene L. Brown, Chunwei Wang, Helin Dong, Michiko Kobayashi, Michael C. Byrne, Maximillian T. Follettie, Michael Mittmann and Stephen P. A. Fodor. Their work appears in journals such as Genome Research, Nucleic Acids Research, PLoS ONE, Nature Genetics and Neoplasia.
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.