William M.O. Boto

18 papers receiving 381 citations

Peers

William M.O. Boto
Comparison fields: 5 of 59
  • Virology 44
  • Oncology 214
  • Infectious Diseases 142
  • Epidemiology 123
  • Immunology 73
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Citations per year

Countries citing papers authored by William M.O. Boto

Since Specialization
Citations

This map shows the geographic impact of William M.O. Boto'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 William M.O. Boto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William M.O. Boto more than expected).

Fields of papers citing papers by William M.O. Boto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William M.O. Boto. 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 William M.O. Boto. The network helps show where William M.O. Boto may publish in the future.

Co-authors

The 25 scholars most cited alongside William M.O. Boto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with William M.O. Boto Line = papers co-authored together William M.O. Boto links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2002100
2 197875
3 200649
4 200246
5 199321
6 200716
7 199815
8 199115
9 198412
10 197911
11
Heterogeneity in the membrane proteins of human lymphoid cell lines as seen in sodium dodecyl sulfate-polyacrylamide electrophoresis slab gels.
197811
12 199510
13 19939
14 20008
15 19845
16
Independent divergences in the CD4 binding site and V3 loop encoded in two seroprevalent Ugandan HIV-1 clinical isolates.
19934
17
Membrane expression and synthesis of p23,30 (HLA-DR antigen) by human peripheral blood monocytes.
19804
18 19963
19
Distribution of linear antigenic epitopes on GP120 encoded in sibling clones of novel New York HIV-1 subtype B isolates.
19950

About William M.O. Boto

William M.O. Boto is a scholar working on Virology, Immunology, Infectious Diseases, Radiology, Nuclear Medicine and Imaging and Parasitology, having authored 19 papers that have together received 414 indexed citations. Recurring topics across this work include HIV Research and Treatment (7 papers), vaccines and immunoinformatics approaches (4 papers), T-cell and B-cell Immunology (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Viral-associated cancers and disorders (4 papers), Glycosylation and Glycoproteins Research (2 papers), Parasitic Diseases Research and Treatment (2 papers) and Parasite Biology and Host Interactions (2 papers). The work is most often cited by research in Virology (44 citations), Oncology (214 citations), Infectious Diseases (142 citations), Epidemiology (123 citations) and Immunology (73 citations). William M.O. Boto has collaborated with scholars based in United States, Uganda and Italy. Frequent co-authors include Gary S. Hayward, James Mukasa Ntambi, Henry Kajumbula, Enrique P. Becerra, Jian-Chao Zong, DavidT. Purtilo, Jag Bhawan, Lucian K. DeNicola, David A. Thorley‐Lawson and Irma O. Szymanski. Their work appears in journals such as Journal of Clinical Virology, Cellular Immunology, The Journal of Immunology, AIDS Research and Human Retroviruses and Vaccine.

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.

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