Sam M. Mbulaiteye
- Oncology top 1%
- Epidemiology top 2%
- Pathology and Forensic Medicine top 1%
- Infectious Diseases top 2%
- Surgery top 10%
- Co-authors
- Eric A. EngelsRobert J. BiggarKishor BhatiaDenise WhitbyDonald Maxwell ParkinHenry WabingaSusan S. DevesaRuth M. Pfeiffer
- Topics
- Viral-associated cancers and disorders (75 papers)Lymphoma Diagnosis and Treatment (40 papers)Cytomegalovirus and herpesvirus research (22 papers)
- Journals
- The LancetSHILAP Revista de lepidopterologíaBlood
- Partner nations
- United StatesUgandaUnited Kingdom
In The Last Decade
Sam M. Mbulaiteye
110 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 116
- Oncology 2.4k
- Epidemiology 1.3k
- Pathology and Forensic Medicine 1.1k
- Infectious Diseases 763
- Surgery 381
Countries citing papers authored by Sam M. Mbulaiteye
This map shows the geographic impact of Sam M. Mbulaiteye'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 Sam M. Mbulaiteye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sam M. Mbulaiteye more than expected).
Fields of papers citing papers by Sam M. Mbulaiteye
This network shows the impact of papers produced by Sam M. Mbulaiteye. 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 Sam M. Mbulaiteye. The network helps show where Sam M. Mbulaiteye may publish in the future.
Co-authorship network of co-authors of Sam M. Mbulaiteye
This figure shows the co-authorship network connecting the top 25 collaborators of Sam M. Mbulaiteye. A scholar is included among the top collaborators of Sam M. Mbulaiteye based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sam M. Mbulaiteye. Sam M. Mbulaiteye is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 0 | |
| 3 | 55 | |
| 4 | 35 | |
| 5 | 8 | |
| 6 | 17 | |
| 7 | 29 | |
| 8 | 12 | |
| 9 | 1 | |
| 10 | 17 | |
| 11 | 8 | |
| 12 | Utilizing Fluidigm's Access Array Long-Range Capability and Roche 454 s Titanium Chemistry to Capture and Sequence the Epstein-Barr Virus (EBV) for Variant Detection. | 1 |
| 13 | 3 | |
| 14 | 12 | |
| 15 | 69 | |
| 16 | 17 | |
| 17 | 22 | |
| 18 | 6 | |
| 19 | 25 | |
| 20 | 103 |
About Sam M. Mbulaiteye
Sam M. Mbulaiteye is a scholar working on Oncology, Pathology and Forensic Medicine and Infectious Diseases, having authored 113 papers that have together received 3.6k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (75 papers), Lymphoma Diagnosis and Treatment (40 papers) and Cytomegalovirus and herpesvirus research (22 papers). The work is most often cited by research in Oncology (2.4k citations), Pathology and Forensic Medicine (1.1k citations) and Infectious Diseases (763 citations). Sam M. Mbulaiteye has collaborated with scholars based in United States, Uganda and United Kingdom. Frequent co-authors include Eric A. Engels, Robert J. Biggar, Kishor Bhatia, Denise Whitby, Donald Maxwell Parkin, Henry Wabinga, Susan S. Devesa, Ruth M. Pfeiffer, James J. Goedert and James J. Goedert. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and Blood.
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.