M. S. Chee
Impact in
- Parasitology top 1%
- Toxoplasma gondii Research Studies
- Epidemiology top 2%
- Cytomegalovirus and herpesvirus research
- Herpesvirus Infections and Treatments
Papers in
-
- Herpesvirus Infections and Treatments 7
- Cytomegalovirus and herpesvirus research 7
- Oncology 5
- Viral-associated cancers and disorders 5
- Co-authors
- B. G. Barrell (3 shared papers)Sandra C. Satchwell (3 shared papers)Enrique C. Preddie (3 shared papers)Kathleen Weston (3 shared papers)BARCLAY G. BARRELL (3 shared papers)Glenda L. Lawrence (2 shared papers)Ruth Böhni (2 shared papers)Tony Kouzarides (2 shared papers)
- Journals
- Journal of General Virology (2 papers)Journal of Virology (2 papers)Current topics in microbiology and immunology (1 paper)Nature (1 paper)Cancer Genetics and Cytogenetics (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
M. S. Chee
11 papers receiving 2.1k citations
M. S. Chee's Hit Papers
Peers
Comparison fields: 5 of 72
- Parasitology 395
- Epidemiology 1.8k
- Virology 171
- Oncology 553
- Immunology 284
Countries citing papers authored by M. S. Chee
This map shows the geographic impact of M. 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 M. 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 M. S. Chee more than expected).
Fields of papers citing papers by M. S. Chee
This network shows the impact of papers produced by M. 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 M. S. Chee. The network helps show where M. S. Chee may publish in the future.
Co-authors
The 25 scholars most cited alongside M. 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 | Analysis of the Protein-Coding Content of the Sequence of Human Cytomegalovirus Strain AD169 Hit paper breakdown → | 1990 | 1141 |
| 2 | 1990 | 249 | |
| 3 | 1990 | 233 | |
| 4 | 1999 | 217 | |
| 5 | 1989 | 162 | |
| 6 | 1991 | 73 | |
| 7 | 1989 | 62 | |
| 8 | 1997 | 41 | |
| 9 | 1997 | 29 | |
| 10 | The HCMV genome project: what has been learned and what can be expected in the future. | 1991 | 8 |
| 11 | 2011 | 1 |
About M. S. Chee
M. S. Chee is a scholar working on Epidemiology, Oncology, Parasitology, Hepatology and Animal Science and Zoology, having authored 11 papers that have together received 2.2k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (7 papers), Cytomegalovirus and herpesvirus research (7 papers), Viral-associated cancers and disorders (5 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Animal Virus Infections Studies (1 paper), Gene expression and cancer classification (1 paper), Genomics and Chromatin Dynamics (1 paper) and Toxoplasma gondii Research Studies (1 paper). The work is most often cited by research in Parasitology (395 citations), Epidemiology (1.8k citations), Virology (171 citations), Oncology (553 citations) and Immunology (284 citations). M. S. Chee has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include B. G. Barrell, Sandra C. Satchwell, Enrique C. Preddie, Kathleen Weston, BARCLAY G. BARRELL, Glenda L. Lawrence, Ruth Böhni, Tony Kouzarides, Ronald L. Cerny and Peter D. Tomlinson. Their work appears in journals such as Journal of General Virology, Journal of Virology, Current topics in microbiology and immunology, Nature and Cancer Genetics and Cytogenetics.
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.