William Ho

5.4k total citations · 2 hit papers
38 papers, 4.1k citations indexed

About

William Ho is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, William Ho has authored 38 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Oncology, 15 papers in Immunology and 9 papers in Molecular Biology. Recurrent topics in William Ho's work include CAR-T cell therapy research (12 papers), T-cell and B-cell Immunology (9 papers) and Immune Cell Function and Interaction (8 papers). William Ho is often cited by papers focused on CAR-T cell therapy research (12 papers), T-cell and B-cell Immunology (9 papers) and Immune Cell Function and Interaction (8 papers). William Ho collaborates with scholars based in United States, Hong Kong and Canada. William Ho's co-authors include Philip D. Greenberg, Mark M. Davis, Christopher C. Goodnow, Matthias Wölfl, Michael P. Cooke, Cassian Yee, Jürgen Kuball, Hieu Nguyen, Michelle L. Dossett and Marc A. Gavin and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

William Ho

37 papers receiving 4.0k citations

Hit Papers

Transmission Dynamics of the Etiological Agent of SARS in... 2003 2026 2010 2018 2003 2006 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William Ho United States 19 2.3k 1.3k 667 666 597 38 4.1k
Teresa Lambe United Kingdom 35 1.9k 0.9× 371 0.3× 479 0.7× 1.2k 1.7× 107 0.2× 95 4.6k
Vivek Naranbhai United States 28 1.1k 0.5× 439 0.3× 278 0.4× 918 1.4× 167 0.3× 78 4.0k
Rama Akondy United States 25 3.0k 1.3× 1.1k 0.9× 303 0.5× 1.2k 1.8× 67 0.1× 42 5.0k
Hans‐Martin Jäck Germany 43 2.3k 1.0× 582 0.5× 356 0.5× 2.7k 4.0× 98 0.2× 154 6.5k
Scott D. Boyd United States 41 3.2k 1.4× 1.1k 0.8× 421 0.6× 2.2k 3.3× 52 0.1× 119 6.7k
Michael J. Mina United States 30 772 0.3× 377 0.3× 165 0.2× 700 1.1× 792 1.3× 59 4.6k
Mei Song China 25 644 0.3× 1.1k 0.9× 397 0.6× 1.2k 1.8× 156 0.3× 76 4.1k
Deepta Bhattacharya United States 34 3.9k 1.7× 875 0.7× 363 0.5× 1.6k 2.4× 67 0.1× 68 6.2k
Anthony T. Tan Singapore 33 1.8k 0.8× 693 0.5× 196 0.3× 852 1.3× 276 0.5× 65 5.1k
Frank Preijers Netherlands 32 3.6k 1.6× 688 0.5× 366 0.5× 800 1.2× 47 0.1× 91 4.9k

Countries citing papers authored by William Ho

Since Specialization
Citations

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

Fields of papers citing papers by William Ho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Ho

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

All Works

20 of 20 papers shown
1.
Ho, William. (2025). Optimize Patient Safety and Operational Efficiency Through a Closed-Loop Specimen Tacking System. Studies in health technology and informatics. 329. 1696–1697.
2.
Ho, William, Lél Eöry, Alan Archibald, et al.. (2025). Transcriptomic characterisation of acute myeloid leukemia cell lines bearing the same t(9;11) driver mutation reveals different molecular signatures. BMC Genomics. 26(1). 300–300. 1 indexed citations
3.
Zoellner, Lori A., et al.. (2015). An analysis of inhibitory functioning in individuals with chronic posttraumatic stress disorder. Journal of Anxiety Disorders. 37. 94–103. 14 indexed citations
5.
Chapuis, Aude G., Gunnar B. Ragnarsson, Hieu Nguyen, et al.. (2013). Transferred WT1-Reactive CD8 + T Cells Can Mediate Antileukemic Activity and Persist in Post-Transplant Patients. Science Translational Medicine. 5(174). 174ra27–174ra27. 242 indexed citations
6.
Palanca-Wessels, Maria Corinna, Ian W. Flinn, Laurie H. Sehn, et al.. (2012). A Phase I Study of the Anti-CD79b Antibody-Drug Conjugate (ADC) DCDS4501A Targeting CD79b in Relapsed or Refractory B-Cell Non-Hodgkin's Lymphoma (NHL). Blood. 120(21). 56–56. 14 indexed citations
7.
Gavin, Marc A., Troy R. Torgerson, Evan Houston, et al.. (2006). Single-cell analysis of normal and FOXP3-mutant human T cells: FOXP3 expression without regulatory T cell development. Proceedings of the National Academy of Sciences. 103(17). 6659–6664. 640 indexed citations breakdown →
8.
Greenberg, Philip D., William Ho, Matthias Wölfl, et al.. (2006). Overcoming obstacles to the generation of T cells for tumor therapy. 6. 13. 1 indexed citations
9.
Ho, William, Hieu Nguyen, Matthias Wölfl, Juergen Kuball, & Philip D. Greenberg. (2006). In vitro methods for generating CD8+ T-cell clones for immunotherapy from the naïve repertoire. Journal of Immunological Methods. 310(1-2). 40–52. 105 indexed citations
10.
Ho, William, et al.. (2005). Isolating tumor-reactive T cells and making them work in tumor therapy. 5. 25. 1 indexed citations
11.
Ho, William, Joseph N. Blattman, Michelle L. Dossett, Cassian Yee, & Philip D. Greenberg. (2003). Adoptive immunotherapy: Engineering T cell responses as biologic weapons for tumor mass destruction. Cancer Cell. 3(5). 431–437. 123 indexed citations
12.
Ho, William. (2003). Guideline on management of severe acute respiratory syndrome (SARS). The Lancet. 361(9366). 1313–1315. 54 indexed citations
13.
Riley, Steven, Christophe Fraser, Christl A. Donnelly, et al.. (2003). Transmission Dynamics of the Etiological Agent of SARS in Hong Kong: Impact of Public Health Interventions. Science. 300(5627). 1961–1966. 810 indexed citations breakdown →
14.
Ho, William, Cassian Yee, & Philip D. Greenberg. (2002). Adoptive therapy with CD8+ T cells: it may get by with a little help from its friends. Journal of Clinical Investigation. 110(10). 1415–1417. 74 indexed citations
15.
Ho, William, Cassian Yee, & Philip D. Greenberg. (2002). Adoptive therapy with CD8+ T cells: it may get by with a little help from its friends. Journal of Clinical Investigation. 110(10). 1415–1417. 64 indexed citations
16.
Bridges, Carolyn B., Jacqueline M. Katz, WH Seto, et al.. (2000). Risk of Influenza A (H5N1) Infection among Health Care Workers Exposed to Patients with Influenza A (H5N1), Hong Kong. The Journal of Infectious Diseases. 181(1). 344–348. 179 indexed citations
17.
Tourne, Sylvie, Valérie Kouskoff, William Ho, et al.. (1999). Inhibition of thymocyte positive selection by natural MHC: peptide ligands. European Journal of Immunology. 29(2). 394–402. 6 indexed citations
18.
19.
Ho, William, Michael P. Cooke, Christopher C. Goodnow, & Mark M. Davis. (1994). Resting and anergic B cells are defective in CD28-dependent costimulation of naive CD4+ T cells.. The Journal of Experimental Medicine. 179(5). 1539–1549. 259 indexed citations
20.
Garchon, Henri‐Jean, Elwyn Loh, William Ho, et al.. (1989). The XLR sequence family: dispersion on the X and Y chromosomes of a large set of closely related sequences, most of which are pseudogenes. Nucleic Acids Research. 17(23). 9871–9888. 29 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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