Ping‐Chih Ho

16.5k total citations · 12 hit papers
112 papers, 10.0k citations indexed

About

Ping‐Chih Ho is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Ping‐Chih Ho has authored 112 papers receiving a total of 10.0k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Immunology, 43 papers in Molecular Biology and 28 papers in Oncology. Recurrent topics in Ping‐Chih Ho's work include Immune Cell Function and Interaction (45 papers), Immune cells in cancer (44 papers) and Cancer, Hypoxia, and Metabolism (23 papers). Ping‐Chih Ho is often cited by papers focused on Immune Cell Function and Interaction (45 papers), Immune cells in cancer (44 papers) and Cancer, Hypoxia, and Metabolism (23 papers). Ping‐Chih Ho collaborates with scholars based in Switzerland, United States and Taiwan. Ping‐Chih Ho's co-authors include Fabien Franco, Chin‐Hsien Tsai, Giusy Di Conza, Po‐Tsun Liu, Sarah‐Maria Fendt, Pedro Romero, Daniel E. Speiser, Grégory Verdeil, Xiaoyun Li and Wan-Chen Cheng and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Ping‐Chih Ho

105 papers receiving 10.0k citations

Hit Papers

Phosphoenolpyruvate Is a Metabolic Checkpoint of Anti-tum... 2015 2026 2018 2022 2015 2017 2018 2020 2019 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
Ping‐Chih Ho Switzerland 43 5.3k 3.9k 3.3k 2.5k 908 112 10.0k
Greg M. Delgoffe United States 48 7.7k 1.5× 3.8k 1.0× 4.3k 1.3× 2.2k 0.9× 627 0.7× 109 11.9k
Ann Richmond United States 62 5.4k 1.0× 5.1k 1.3× 6.3k 1.9× 1.9k 0.8× 825 0.9× 166 12.9k
Karin E. de Visser Netherlands 37 5.8k 1.1× 3.7k 0.9× 5.7k 1.7× 2.0k 0.8× 1.3k 1.4× 80 11.7k
Paulo C. Rodrı́guez United States 52 10.6k 2.0× 3.6k 0.9× 5.1k 1.5× 1.7k 0.7× 878 1.0× 124 15.2k
Chih‐Hao Chang United States 22 6.2k 1.2× 3.9k 1.0× 2.7k 0.8× 2.4k 0.9× 452 0.5× 36 10.4k
David O’Sullivan New Zealand 16 5.2k 1.0× 3.3k 0.8× 2.4k 0.7× 2.1k 0.8× 398 0.4× 26 8.7k
Elaine Y. Lin United States 31 3.9k 0.7× 3.5k 0.9× 4.0k 1.2× 1.6k 0.6× 621 0.7× 41 8.5k
Augusto C. Ochoa United States 52 10.4k 2.0× 3.2k 0.8× 4.9k 1.5× 1.5k 0.6× 794 0.9× 127 14.4k
Yiwei Chu China 50 3.6k 0.7× 2.9k 0.7× 2.4k 0.7× 1.3k 0.5× 591 0.7× 182 7.7k
Jonathan D. Curtis United States 14 5.1k 1.0× 2.8k 0.7× 2.3k 0.7× 1.9k 0.7× 354 0.4× 15 8.1k

Countries citing papers authored by Ping‐Chih Ho

Since Specialization
Citations

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

Fields of papers citing papers by Ping‐Chih Ho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ping‐Chih Ho

This figure shows the co-authorship network connecting the top 25 collaborators of Ping‐Chih Ho. A scholar is included among the top collaborators of Ping‐Chih 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 Ping‐Chih Ho. Ping‐Chih 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, Tzu-Hsuan & Ping‐Chih Ho. (2025). Interferon-driven Metabolic Reprogramming and Tumor Microenvironment Remodeling. Immune Network. 25(1). e8–e8. 6 indexed citations
2.
Chen, Weixin, et al.. (2025). Mitochondrial lipid metabolism in tumor immunosurveillance and evasion. Trends in Immunology. 46(12). 766–778.
3.
Kim, Youngjun, et al.. (2025). Role of oxygen sensing and hypoxia-inducible factors in orchestrating innate immune responses. Nature Immunology. 26(12). 2138–2147.
4.
Tsai, Chung‐Ying, Cheng-Lung Hsu, Tzong-Shyuan Tai, et al.. (2025). Asparagine deprivation enhances T cell antitumour response in patients via ROS-mediated metabolic and signal adaptations. Nature Metabolism. 7(5). 918–927. 9 indexed citations
5.
Hope, Helen Carrasco, Jana de Sostoa, Massimo Andreatta, et al.. (2025). Age-associated nicotinamide adenine dinucleotide decline drives CAR-T cell failure. Nature Cancer. 6(9). 1524–1536. 8 indexed citations
6.
Zhao, Haoxin, Jaeoh Park, Yuzhu Wang, et al.. (2025). Cancer suppresses mitochondrial chaperone activity in macrophages to drive immune evasion. Nature Immunology. 26(12). 2185–2200.
7.
Ma, Kaili, Hongcheng Cheng, Lin Wang, et al.. (2025). Succinate preserves CD8+ T cell fitness to augment antitumor immunity. Immunity. 58(10). 2505–2523.e8. 4 indexed citations
8.
Bevilacqua, Alessio, Fabien Franco, Kung‐Chi Kao, et al.. (2024). PPARβ/δ-orchestrated metabolic reprogramming supports the formation and maintenance of memory CD8 + T cells. Science Immunology. 9(98). eadn2717–eadn2717. 11 indexed citations
9.
Girotra, Mukul, Mélanie Charmoy, Helen Carrasco Hope, et al.. (2023). Induction of mitochondrial recycling reverts age-associated decline of the hematopoietic and immune systems. Nature Aging. 3(9). 1057–1066. 38 indexed citations
10.
Gao, Qingxiang, Lishan Zhang, Jia Zhang, et al.. (2023). The glycolysis/HIF-1α axis defines the inflammatory role of IL-4-primed macrophages. Cell Reports. 42(5). 112471–112471. 81 indexed citations
11.
Franco, Fabien, Alessio Bevilacqua, Kung‐Chi Kao, et al.. (2023). Regulatory circuits of mitophagy restrict distinct modes of cell death during memory CD8 + T cell formation. Science Immunology. 8(87). eadf7579–eadf7579. 22 indexed citations
12.
Park, Jaeoh, et al.. (2023). cDC1 craves glutamine for its glory. Nature Immunology. 24(9). 1405–1406. 3 indexed citations
13.
Xu, Yingxi, et al.. (2023). Mitochondria Dictate Function and Fate of HSCs and T Cells. Cancer Immunology Research. 11(10). 1303–1313. 9 indexed citations
14.
Bevilacqua, Alessio, Ping‐Chih Ho, & Fabien Franco. (2023). Metabolic reprogramming in inflammaging and aging in T cells. PubMed. 2(5). load028–load028. 5 indexed citations
15.
Fernández-García, Juan, Fabien Franco, Sweta Parik, et al.. (2022). CD8+ T cell metabolic rewiring defined by scRNA-seq identifies a critical role of ASNS expression dynamics in T cell differentiation. Cell Reports. 41(7). 111639–111639. 21 indexed citations
16.
Xin, Gang, Chen Yao, Paytsar Topchyan, et al.. (2021). Targeting PIM1-Mediated Metabolism in Myeloid Suppressor Cells to Treat Cancer. Cancer Immunology Research. 9(4). 454–469. 38 indexed citations
17.
Conza, Giusy Di, Héctor Gallart‐Ayala, Yi-Ru Yu, et al.. (2021). Tumor-induced reshuffling of lipid composition on the endoplasmic reticulum membrane sustains macrophage survival and pro-tumorigenic activity. Nature Immunology. 22(11). 1403–1415. 144 indexed citations
18.
Ma, Min, Soumitra Ghosh, Daniele Tavernari, et al.. (2020). Sustained androgen receptor signaling is a determinant of melanoma cell growth potential and tumorigenesis. The Journal of Experimental Medicine. 218(2). 36 indexed citations
19.
Yu, Yi-Ru, Hana Imrichová, Haiping Wang, et al.. (2020). Disturbed mitochondrial dynamics in CD8+ TILs reinforce T cell exhaustion. Nature Immunology. 21(12). 1540–1551. 370 indexed citations breakdown →
20.
Ho, Ping‐Chih, et al.. (2014). Immune-Based Antitumor Effects of BRAF Inhibitors Rely on Signaling by CD40L and IFNγ. Cancer Research. 74(12). 3205–3217. 102 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