Francis Kajumo
- Virology top 0.5%
- Immunology top 2%
- Molecular Biology top 10%
- Infectious Diseases top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Tatjana DragicJohn P. MooreMary Lynn NierodzikYong GuoEmmanuel CormierWilliam C. OlsonPaul J. MaddonDaniah A. D. Thompson
- Topics
- HIV Research and Treatment (11 papers)Immune Cell Function and Interaction (9 papers)HIV/AIDS drug development and treatment (6 papers)
- Cited by
- VirologyHepatologyImmunology
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationJournal of Virology
- Partner nations
- United StatesNetherlandsSwitzerland
In The Last Decade
Francis Kajumo
17 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 74
- Virology 1.4k
- Immunology 939
- Molecular Biology 692
- Infectious Diseases 685
- Radiology, Nuclear Medicine and Imaging 513
Countries citing papers authored by Francis Kajumo
This map shows the geographic impact of Francis Kajumo'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 Francis Kajumo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francis Kajumo more than expected).
Fields of papers citing papers by Francis Kajumo
This network shows the impact of papers produced by Francis Kajumo. 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 Francis Kajumo. The network helps show where Francis Kajumo may publish in the future.
Co-authorship network of co-authors of Francis Kajumo
This figure shows the co-authorship network connecting the top 25 collaborators of Francis Kajumo. A scholar is included among the top collaborators of Francis Kajumo 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 Francis Kajumo. Francis Kajumo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 59 | |
| 2 | 128 | |
| 3 | 37 | |
| 4 | 232 | |
| 5 | 13 | |
| 6 | 180 | |
| 7 | 51 | |
| 8 | 353 | |
| 9 | 444 | |
| 10 | 1 | |
| 11 | 96 | |
| 12 | 196 | |
| 13 | 42 | |
| 14 | 109 | |
| 15 | 192 | |
| 16 | Effect of thrombin treatment of tumor cells on adhesion of tumor cells to platelets in vitro and tumor metastasis in vivo. | 180 |
| 17 | 198 |
About Francis Kajumo
Francis Kajumo is a scholar working on Virology, Immunology and Hepatology, having authored 17 papers that have together received 2.5k indexed citations. Recurring topics across this work include HIV Research and Treatment (11 papers), Immune Cell Function and Interaction (9 papers) and HIV/AIDS drug development and treatment (6 papers). The work is most often cited by research in Virology (1.4k citations), Hepatology (389 citations) and Immunology (939 citations). Francis Kajumo has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include Tatjana Dragic, John P. Moore, Mary Lynn Nierodzik, Yong Guo, Emmanuel Cormier, William C. Olson, Paul J. Maddon, Daniah A. D. Thompson, Thomas P. Sakmar and Alexandra Trkola. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Journal of Virology.
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.