Pei‐Chun Hsueh

1.3k total citations · 3 hit papers
14 papers, 648 citations indexed

About

Pei‐Chun Hsueh is a scholar working on Immunology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Pei‐Chun Hsueh has authored 14 papers receiving a total of 648 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 4 papers in Molecular Biology and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Pei‐Chun Hsueh's work include Pleural and Pulmonary Diseases (3 papers), Immune cells in cancer (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Pei‐Chun Hsueh is often cited by papers focused on Pleural and Pulmonary Diseases (3 papers), Immune cells in cancer (3 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Pei‐Chun Hsueh collaborates with scholars based in Taiwan, Switzerland and China. Pei‐Chun Hsueh's co-authors include Ping‐Chih Ho, Jaeoh Park, Zhiyu Li, Lianjun Zhang, Sofie Hedlund Møller, Yi-Ru Yu, Lydia Raines, Héctor Gallart‐Ayala, Stanley Ching‐Cheng Huang and Chan‐Wang Jerry Lio and has published in prestigious journals such as Immunity, Nature Immunology and Cell Metabolism.

In The Last Decade

Pei‐Chun Hsueh

14 papers receiving 642 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Microenvironment-driven metabolic adaptations guiding CD8+ T cell anti-tumor immunity

2023 180 citations Jaeoh Park, Pei‐Chun Hsueh et al. Immunity profile →
PERK is a critical metabolic hub for immunosuppressive function in macrophages

2022 164 citations Lydia Raines, Haoxin Zhao et al. Nature Immunology profile →
CD40 signal rewires fatty acid and glutamine metabolism for stimulating macrophage anti-tumorigenic functions

2023 133 citations Xiaoyun Li, Pei‐Chun Hsueh et al. Nature Immunology profile →

Peers

Pei‐Chun Hsueh

IMMUN

ONCOL

PRM

Joshua B. Phillips United States

Maki Yamaura Japan

Gregory Cherryholmes United States

Kartik Gupta United States

Kazuko Matsuda United States

Michael Friedrich Germany

Bożenna Mytar Poland

Armelle Biola‐Vidamment France

Ryota Takahashi Japan

Rie Kinoshita Japan

Joshua B. Phillips United States

Pei‐Chun Hsueh

275 ×0.9

IMMUN

303 ×1.1

217 ×1.4

ONCOL

133 ×1.0

55 ×0.6

PRM

Citations per year, relative to Pei‐Chun Hsueh Pei‐Chun Hsueh (= 1×) peers Joshua B. Phillips

Countries citing papers authored by Pei‐Chun Hsueh

Since Specialization

Citations

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

Fields of papers citing papers by Pei‐Chun Hsueh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pei‐Chun Hsueh. 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 Pei‐Chun Hsueh. The network helps show where Pei‐Chun Hsueh may publish in the future.

Co-authorship network of co-authors of Pei‐Chun Hsueh

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

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

Wu, Chih‐Ching, Yu‐Yin Shih, Pei‐Chun Hsueh, et al.. (2024). Exploration of influenza A virus PA protein-associated cellular proteins discloses its impact on mitochondrial function. Virus Research. 345. 199387–199387. 1 indexed citations

Park, Jaeoh, Pei‐Chun Hsueh, Zhiyu Li, & Ping‐Chih Ho. (2023). Microenvironment-driven metabolic adaptations guiding CD8+ T cell anti-tumor immunity. Immunity. 56(1). 32–42. 180 indexed citations breakdown →

Li, Xiaoyun, Pei‐Chun Hsueh, Sheue‐Fen Tzeng, et al.. (2023). CD40 signal rewires fatty acid and glutamine metabolism for stimulating macrophage anti-tumorigenic functions. Nature Immunology. 24(3). 452–462. 133 indexed citations breakdown →

Raines, Lydia, Haoxin Zhao, Yuzhu Wang, et al.. (2022). PERK is a critical metabolic hub for immunosuppressive function in macrophages. Nature Immunology. 23(3). 431–445. 164 indexed citations breakdown →

Hsueh, Pei‐Chun, Kai‐Ping Chang, Hao‐Ping Liu, et al.. (2022). Development of a salivary autoantibody biomarker panel for diagnosis of oral cavity squamous cell carcinoma. Frontiers in Oncology. 12. 968570–968570. 6 indexed citations

Møller, Sofie Hedlund, Pei‐Chun Hsueh, Yi-Ru Yu, Lianjun Zhang, & Ping‐Chih Ho. (2022). Metabolic programs tailor T cell immunity in viral infection, cancer, and aging. Cell Metabolism. 34(3). 378–395. 85 indexed citations

Tseng, Yi‐Ju, Yicheng Wang, Pei‐Chun Hsueh, & Chih‐Ching Wu. (2022). Development and validation of machine learning-based risk prediction models of oral squamous cell carcinoma using salivary autoantibody biomarkers. BMC Oral Health. 22(1). 534–534. 15 indexed citations

Yang, Chia‐Yu, Yu‐Hsuan Kuo, Min Chen, et al.. (2021). Pleural cytokines MIF and MIP-3α as novel biomarkers for complicated parapneumonic effusions and empyema. Scientific Reports. 11(1). 1763–1763. 3 indexed citations

Hsueh, Pei‐Chun, Chia‐Yu Yang, Chia‐Wei Hsu, et al.. (2020). Metabolomic profiling of parapneumonic effusion reveals a regulatory role of dipeptides in interleukin-8 production in neutrophil-like cells. Analytica Chimica Acta. 1128. 238–250. 3 indexed citations

10.

Chang, Shih‐Chieh, et al.. (2020). Significant association of serum autoantibodies to TYMS, HAPLN1 and IGFBP5 with early stage canine malignant mammary tumours. Veterinary and Comparative Oncology. 19(1). 172–182. 3 indexed citations

11.

Wang, Liang‐Jen, Wen‐Jiun Chou, Ching‐Shu Tsai, et al.. (2020). Novel plasma metabolite markers of attention-deficit/hyperactivity disorder identified using high-performance chemical isotope labelling-based liquid chromatography-mass spectrometry. The World Journal of Biological Psychiatry. 22(2). 139–148. 13 indexed citations

12.

Hsu, Chia‐Wei, Kai-Ping Chang, Yenlin Huang, et al.. (2019). Proteomic Profiling of Paired Interstitial Fluids Reveals Dysregulated Pathways and Salivary NID1 as a Biomarker of Oral Cavity Squamous Cell Carcinoma*[S]. Molecular & Cellular Proteomics. 18(10). 1939–1949. 31 indexed citations

13.

Wu, Chih‐Ching, Yu‐Ching Liu, Pei‐Chun Hsueh, et al.. (2019). Combined serum biomarkers in the noninvasive diagnosis of complicated parapneumonic effusions and empyema. BMC Pulmonary Medicine. 19(1). 108–108. 9 indexed citations

14.

Hsueh, Pei‐Chun, et al.. (2018). A New Creative Method "The Cultural Gene Triangular" application in Cultural Products Design. 37–40. 2 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