John Bui

474 total citations
9 papers, 295 citations indexed

About

John Bui is a scholar working on Immunology, Virology and Infectious Diseases. According to data from OpenAlex, John Bui has authored 9 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 5 papers in Virology and 2 papers in Infectious Diseases. Recurrent topics in John Bui's work include Immune Cell Function and Interaction (6 papers), HIV Research and Treatment (5 papers) and T-cell and B-cell Immunology (2 papers). John Bui is often cited by papers focused on Immune Cell Function and Interaction (6 papers), HIV Research and Treatment (5 papers) and T-cell and B-cell Immunology (2 papers). John Bui collaborates with scholars based in United States and Canada. John Bui's co-authors include M. Juliana McElrath, William W. Kwok, Eddie A. James, Michelle Roti, Daniel E. Geraghty, Devon Livingston‐Rosanoff, Quyen Vu, Shuying Sue Li, Lue Ping Zhao and D. Berger and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Immunology and Journal of Virology.

In The Last Decade

John Bui

9 papers receiving 292 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
John Bui United States	5	184	158	107	81	72	9	295
Ann Dauphin United States	7	227 1.2×	151 1.0×	100 0.9×	115 1.4×	62 0.9×	7	328
Rodney Trout United States	10	112 0.6×	189 1.2×	88 0.8×	61 0.8×	105 1.5×	12	320
Ane Ogbe United Kingdom	9	98 0.5×	188 1.2×	117 1.1×	66 0.8×	44 0.6×	16	337
Tristan J. Markle Canada	9	328 1.8×	183 1.2×	172 1.6×	46 0.6×	62 0.9×	13	378
Aniqa Shahid Canada	11	190 1.0×	85 0.5×	172 1.6×	68 0.8×	51 0.7×	21	301
John E. Kim Canada	6	254 1.4×	160 1.0×	127 1.2×	120 1.5×	78 1.1×	8	361
Daniëlle van Manen Netherlands	10	307 1.7×	190 1.2×	162 1.5×	101 1.2×	94 1.3×	16	423
Franco Pissani United States	11	305 1.7×	295 1.9×	86 0.8×	86 1.1×	80 1.1×	13	417
Anna Haas Switzerland	7	156 0.8×	188 1.2×	89 0.8×	70 0.9×	75 1.0×	7	325
S. Abigail Smith United States	7	209 1.1×	137 0.9×	80 0.7×	28 0.3×	82 1.1×	14	241

Countries citing papers authored by John Bui

Since Specialization

Citations

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

Fields of papers citing papers by John Bui

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Bui. 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 John Bui. The network helps show where John Bui may publish in the future.

Co-authorship network of co-authors of John Bui

This figure shows the co-authorship network connecting the top 25 collaborators of John Bui. A scholar is included among the top collaborators of John Bui 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 John Bui. John Bui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Kampouri, Eleftheria, John Bui, Natalie T. Rice, et al.. (2024). Off-the-shelf allogeneic natural killer cells for the treatment of COVID-19. Molecular Therapy — Methods & Clinical Development. 32(4). 101361–101361. 1 indexed citations

Bui, John, et al.. (2024). CD20 CAR T cells safely and reversibly ablate B cell follicles in a non-human primate model of HIV persistence. Molecular Therapy. 32(5). 1238–1251. 3 indexed citations

Li, Chang, Hongjie Wang, Sucheol Gil, et al.. (2023). Stable HIV decoy receptor expression after in vivo HSC transduction in mice and NHPs: Safety and efficacy in protection from SHIV. Molecular Therapy. 31(4). 1059–1073. 3 indexed citations

Halvas, Elias K., Leah D. Brandt, Shuang Guo, et al.. (2020). HIV-1 viremia not suppressible by antiretroviral therapy can originate from large T cell clones producing infectious virus. Journal of Clinical Investigation. 130(11). 5847–5857. 87 indexed citations

Ward, Adam R., Thomas R. Dilling, John Bui, et al.. (2019). Dynamics of HIV-specific T cells on long-term ART differ by antigen recognised and by sex. Journal of Virus Eradication. 5. 32–32. 1 indexed citations

Rosa, Stephen C. De, Evan P. Thomas, John Bui, et al.. (2011). HIV-DNA Priming Alters T Cell Responses to HIV-Adenovirus Vaccine Even When Responses to DNA Are Undetectable. The Journal of Immunology. 187(6). 3391–3401. 40 indexed citations

Kwok, William W., Junbao Yang, Eddie A. James, et al.. (2008). The Anthrax Vaccine Adsorbed Vaccine Generates Protective Antigen (PA)-Specific CD4 ⁺ T Cells with a Phenotype Distinct from That of Naive PA T Cells. Infection and Immunity. 76(10). 4538–4545. 25 indexed citations

James, Eddie A., et al.. (2007). Tetramer-guided epitope mapping reveals broad, individualized repertoires of tetanus toxin-specific CD4+ T cells and suggests HLA-based differences in epitope recognition. International Immunology. 19(11). 1291–1301. 49 indexed citations

Livingston‐Rosanoff, Devon, Shuying Sue Li, Quyen Vu, et al.. (2006). Genetic Association of the Antiviral Restriction Factor TRIM5α with Human Immunodeficiency Virus Type 1 Infection. Journal of Virology. 80(5). 2463–2471. 86 indexed citations

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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