Ya‐Chi Ho

7.6k total citations · 4 hit papers
45 papers, 4.0k citations indexed

About

Ya‐Chi Ho is a scholar working on Infectious Diseases, Virology and Epidemiology. According to data from OpenAlex, Ya‐Chi Ho has authored 45 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Infectious Diseases, 23 papers in Virology and 15 papers in Epidemiology. Recurrent topics in Ya‐Chi Ho's work include HIV Research and Treatment (23 papers), HIV/AIDS drug development and treatment (13 papers) and Immune Cell Function and Interaction (9 papers). Ya‐Chi Ho is often cited by papers focused on HIV Research and Treatment (23 papers), HIV/AIDS drug development and treatment (13 papers) and Immune Cell Function and Interaction (9 papers). Ya‐Chi Ho collaborates with scholars based in United States, Taiwan and Peru. Ya‐Chi Ho's co-authors include Robert F. Siliciano, Janet D. Siliciano, Nina N. Hosmane, Sarah B. Laskey, Jun Lai, Daniel I. S. Rosenbloom, Joel N. Blankson, Liang Shan, Jeffrey Wang and Adam A. Capoferri and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Ya‐Chi Ho

43 papers receiving 4.0k citations

Hit Papers

Replication-Competent Noninduced Proviruses in the Latent... 2013 2026 2017 2021 2013 2020 2016 2017 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ya‐Chi Ho United States 21 2.4k 2.3k 1.1k 763 708 45 4.0k
Linos Vandekerckhove Belgium 35 2.3k 1.0× 2.2k 1.0× 567 0.5× 683 0.9× 1.5k 2.1× 160 4.1k
Julian Schulze zur Wiesch Germany 39 1.0k 0.4× 1.3k 0.5× 1.7k 1.5× 2.2k 2.8× 590 0.8× 198 5.4k
Gerrit Jan Weverling Netherlands 40 1.6k 0.6× 2.5k 1.1× 559 0.5× 1.6k 2.1× 640 0.9× 88 5.0k
Cristina Mussini Italy 29 892 0.4× 1.4k 0.6× 388 0.3× 900 1.2× 360 0.5× 159 3.1k
Marı́a Teresa Rugeles Colombia 28 818 0.3× 693 0.3× 1.4k 1.2× 514 0.7× 467 0.7× 149 2.9k
Hao Wu China 27 1.8k 0.7× 1.6k 0.7× 1.0k 0.9× 790 1.0× 389 0.5× 170 3.1k
Toshiyuki Miura Japan 27 2.3k 0.9× 1.2k 0.5× 1.6k 1.4× 526 0.7× 609 0.9× 123 3.5k
Michael Huber Switzerland 27 929 0.4× 829 0.4× 746 0.7× 517 0.7× 673 1.0× 76 2.5k
Wen‐Chun Liu Taiwan 28 395 0.2× 3.0k 1.3× 1.0k 0.9× 1.6k 2.1× 922 1.3× 148 5.1k
Miklos Salgo United States 22 1.9k 0.8× 2.1k 0.9× 415 0.4× 539 0.7× 469 0.7× 53 3.2k

Countries citing papers authored by Ya‐Chi Ho

Since Specialization
Citations

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

Fields of papers citing papers by Ya‐Chi Ho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ya‐Chi Ho

This figure shows the co-authorship network connecting the top 25 collaborators of Ya‐Chi Ho. A scholar is included among the top collaborators of Ya‐Chi 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 Ya‐Chi Ho. Ya‐Chi 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.
Chang, Chih-Chieh, et al.. (2024). Learning to Augment Graphs: Machine-Learning-Based Social Network Intervention With Self-Supervision. IEEE Transactions on Computational Social Systems. 11(3). 3286–3298. 3 indexed citations
2.
Hung, Chen‐Ting, Sujogya Kumar Panda, Tihana Tršan, et al.. (2024). Western diet reduces small intestinal intraepithelial lymphocytes via FXR-Interferon pathway. Mucosal Immunology. 17(5). 1019–1028. 7 indexed citations
5.
Wong, Michelle, Yulong Wei, & Ya‐Chi Ho. (2023). Single-cell multiomic understanding of HIV-1 reservoir at epigenetic, transcriptional, and protein levels. Current Opinion in HIV and AIDS. 18(5). 246–256. 8 indexed citations
6.
Chen, Yi‐Ling, Ya‐Chi Ho, Po‐Yuan Chang, et al.. (2022). Diversity-Optimized Group Extraction in Social Networks. IEEE Transactions on Computational Social Systems. 11(1). 756–769. 2 indexed citations
7.
Liu, Runxia, Delia Pinto-Santini, Neal G. Ravindra, et al.. (2022). Single-cell multiomics reveals persistence of HIV-1 in expanded cytotoxic T cell clones. Immunity. 55(6). 1013–1031.e7. 80 indexed citations
8.
Sun, Yu, Laura Abriola, Rachel O. Niederer, et al.. (2021). Restriction of SARS-CoV-2 replication by targeting programmed −1 ribosomal frameshifting. Proceedings of the National Academy of Sciences. 118(26). 87 indexed citations
9.
Kyriakides, Tassos C., et al.. (2021). Design and implementation of a cohort study of persons living with HIV infection who are initiating medication treatment for opioid use disorder to evaluate HIV-1 persistence. Contemporary Clinical Trials Communications. 24. 100866–100866. 2 indexed citations
10.
Antar, Annukka A.R., Katharine M. Jenike, Sunyoung Jang, et al.. (2020). Longitudinal study reveals HIV-1–infected CD4+ T cell dynamics during long-term antiretroviral therapy. Journal of Clinical Investigation. 130(7). 3543–3559. 54 indexed citations
11.
Yeh, Yang-Hui Jimmy, Katharine M. Jenike, Jennifer Chiarella, et al.. (2020). Filgotinib suppresses HIV-1–driven gene transcription by inhibiting HIV-1 splicing and T cell activation. Journal of Clinical Investigation. 130(9). 4969–4984. 31 indexed citations
12.
Taura, Manabu, Eric Song, Ya‐Chi Ho, & Akiko Iwasaki. (2019). Apobec3A maintains HIV-1 latency through recruitment of epigenetic silencing machinery to the long terminal repeat. Proceedings of the National Academy of Sciences. 116(6). 2282–2289. 39 indexed citations
13.
Bruner, Katherine M., Alexandra J. Murray, Ross A. Pollack, et al.. (2016). Defective proviruses rapidly accumulate during acute HIV-1 infection. Nature Medicine. 22(9). 1043–1049. 515 indexed citations breakdown →
14.
Huang, Huey‐Chun, et al.. (2015). Investigation of the Anti-Melanogenic and Antioxidant Characteristics of Eucalyptus camaldulensis Flower Essential Oil and Determination of Its Chemical Composition. International Journal of Molecular Sciences. 16(5). 10470–10490. 56 indexed citations
15.
Ho, Ya‐Chi, Liang Shan, Nina N. Hosmane, et al.. (2013). Replication-Competent Noninduced Proviruses in the Latent Reservoir Increase Barrier to HIV-1 Cure. Cell. 155(3). 540–551. 1013 indexed citations breakdown →
16.
Thayil, Seema Madhumal, Ya‐Chi Ho, Robert C. Bollinger, et al.. (2012). Mycobacterium tuberculosis Complex Enhances Susceptibility of CD4 T Cells to HIV through a TLR2-Mediated Pathway. PLoS ONE. 7(7). e41093–e41093. 24 indexed citations
17.
Wu, Un‐In, Jann‐Tay Wang, Ya‐Chi Ho, et al.. (2012). Factors associated with development of complications among adults with influenza: A 3-year prospective analysis. Journal of the Formosan Medical Association. 111(7). 364–369. 18 indexed citations
19.
Sun, Hsin‐Yun, Hsiang‐Chi Kung, Ya‐Chi Ho, et al.. (2009). Seroprevalence of hepatitis A virus infection in persons with HIV infection in Taiwan: implications for hepatitis A vaccination. International Journal of Infectious Diseases. 13(5). e199–e205. 20 indexed citations
20.
Ho, Ya‐Chi, Tiffany Ting‐Fang Shih, Yu‐Hui Lin, et al.. (2007). Osteonecrosis in Patients with Human Immunodeficiency Virus Type 1 Infection in Taiwan. Japanese Journal of Infectious Diseases. 60(6). 382–386. 11 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026