Xueda Hu

17.8k total citations · 9 hit papers
24 papers, 6.6k citations indexed

About

Xueda Hu is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Xueda Hu has authored 24 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Oncology, 12 papers in Immunology and 9 papers in Molecular Biology. Recurrent topics in Xueda Hu's work include Cancer Immunotherapy and Biomarkers (12 papers), Immune Cell Function and Interaction (8 papers) and Single-cell and spatial transcriptomics (6 papers). Xueda Hu is often cited by papers focused on Cancer Immunotherapy and Biomarkers (12 papers), Immune Cell Function and Interaction (8 papers) and Single-cell and spatial transcriptomics (6 papers). Xueda Hu collaborates with scholars based in China, United States and Germany. Xueda Hu's co-authors include Zemin Zhang, Yuanyuan Zhang, Ranran Gao, Liangtao Zheng, Xianwen Ren, Qiming Zhang, Boxi Kang, Chunhong Zheng, Ming-Hui Dong and Zhouzerui Liu and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Xueda Hu

24 papers receiving 6.6k citations

Hit Papers

Landscape of Infiltrating... 2017 2026 2020 2023 2017 2018 2021 2018 2021 400 800 1.2k
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.

  1. Landscape of Infiltrating T Cells in Liver Cancer Revealed by Single-Cell Sequencing
    2017 1.4k citations Chunhong Zheng, Liangtao Zheng et al. Cell profile →
  2. Global characterization of T cells in non-small-cell lung cancer by single-cell sequencing
    2018 990 citations Xinyi Guo, Yuanyuan Zhang et al. Nature Medicine profile →
  3. A pan-cancer single-cell transcriptional atlas of tumor infiltrating myeloid cells
    2021 820 citations Sijin Cheng, Ziyi Li et al. Cell profile →
  4. Lineage tracking reveals dynamic relationships of T cells in colorectal cancer
    2018 814 citations Lei Zhang, Xin Yu et al. Nature profile →
  5. Pan-cancer single-cell landscape of tumor-infiltrating T cells
    2021 699 citations Liangtao Zheng, Shishang Qin et al. Science profile →
  6. Single-cell analyses reveal key immune cell subsets associated with response to PD-L1 blockade in triple-negative breast cancer
    2021 434 citations Yuanyuan Zhang, Hongyan Chen et al. Cancer Cell profile →
  7. Immune phenotypic linkage between colorectal cancer and liver metastasis
    2022 263 citations Yedan Liu, Qiming Zhang et al. Cancer Cell profile →
  8. Temporal single-cell tracing reveals clonal revival and expansion of precursor exhausted T cells during anti-PD-1 therapy in lung cancer
    2021 253 citations Baolin Liu, Xueda Hu et al. Nature Cancer profile →
  9. Single-cell meta-analyses reveal responses of tumor-reactive CXCL13+ T cells to immune-checkpoint blockade
    2022 154 citations Baolin Liu, Yuanyuan Zhang et al. Nature Cancer profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Xueda Hu 3.7k 3.6k 2.8k 1.2k 875 24 6.6k
Florent Petitprez 3.0k 0.8× 3.7k 1.0× 2.4k 0.9× 1.6k 1.3× 2.2k 2.5× 36 7.0k
Helen K. Angell 2.7k 0.7× 4.0k 1.1× 2.1k 0.8× 1.4k 1.2× 1.9k 2.2× 40 6.5k
Antje Sucker 2.6k 0.7× 3.9k 1.1× 3.3k 1.2× 866 0.7× 658 0.8× 101 6.8k
Liangtao Zheng 2.4k 0.6× 2.3k 0.6× 1.7k 0.6× 800 0.7× 550 0.6× 14 4.1k
Tom Dønnem 1.6k 0.4× 3.1k 0.9× 2.3k 0.8× 1.8k 1.4× 1.8k 2.0× 106 5.7k
Lill‐Tove Busund 1.6k 0.4× 3.1k 0.9× 2.2k 0.8× 1.7k 1.4× 1.7k 2.0× 120 5.7k
Tessa Fredriksen 2.0k 0.5× 2.6k 0.7× 1.6k 0.6× 1.1k 0.9× 1.3k 1.5× 8 4.7k
Nicolás A. Giraldo 2.4k 0.7× 3.6k 1.0× 2.0k 0.7× 1.5k 1.2× 2.2k 2.5× 33 6.1k
Otávia L. Caballero 2.8k 0.7× 3.1k 0.9× 4.9k 1.7× 1.4k 1.1× 615 0.7× 74 7.9k
Isabelle Treilleux 2.3k 0.6× 3.6k 1.0× 3.1k 1.1× 1.7k 1.4× 810 0.9× 219 7.9k

Countries citing papers authored by Xueda Hu

Since Specialization
Citations

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

Fields of papers citing papers by Xueda Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xueda Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Xueda Hu. A scholar is included among the top collaborators of Xueda Hu 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 Xueda Hu. Xueda Hu 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.
Nie, Jing, Chunmeng Wang, Liangtao Zheng, et al.. (2024). Epigenetic agents plus anti-PD-1 reprogram the tumor microenvironment and restore antitumor efficacy in Hodgkin lymphoma. Blood. 144(18). 1936–1950. 9 indexed citations
2.
Yin, Pengbin, Ming Chen, Lin Yuan, et al.. (2023). Deciphering Immune Landscape Remodeling Unravels the Underlying Mechanism for Synchronized Muscle and Bone Aging. Advanced Science. 11(5). e2304084–e2304084. 12 indexed citations
3.
Liu, Yedan, Qiming Zhang, Baocai Xing, et al.. (2022). Immune phenotypic linkage between colorectal cancer and liver metastasis. Cancer Cell. 40(4). 424–437.e5. 263 indexed citations breakdown →
4.
Liu, Baolin, Yuanyuan Zhang, Dongfang Wang, Xueda Hu, & Zemin Zhang. (2022). Single-cell meta-analyses reveal responses of tumor-reactive CXCL13+ T cells to immune-checkpoint blockade. Nature Cancer. 3(9). 1123–1136. 154 indexed citations breakdown →
5.
Zheng, Liangtao, Shishang Qin, Wen Si, et al.. (2021). Pan-cancer single-cell landscape of tumor-infiltrating T cells. Science. 374(6574). abe6474–abe6474. 699 indexed citations breakdown →
6.
Zhang, Yuanyuan, Hongyan Chen, Hongnan Mo, et al.. (2021). Single-cell analyses reveal key immune cell subsets associated with response to PD-L1 blockade in triple-negative breast cancer. Cancer Cell. 39(12). 1578–1593.e8. 434 indexed citations breakdown →
7.
Cheng, Sijin, Ziyi Li, Ranran Gao, et al.. (2021). A pan-cancer single-cell transcriptional atlas of tumor infiltrating myeloid cells. Cell. 184(3). 792–809.e23. 820 indexed citations breakdown →
8.
Rao, Man, Xiliang Wang, Guangran Guo, et al.. (2021). Resolving the intertwining of inflammation and fibrosis in human heart failure at single-cell level. Basic Research in Cardiology. 116(1). 55–55. 131 indexed citations
9.
Liu, Baolin, Xueda Hu, Kaichao Feng, et al.. (2021). Temporal single-cell tracing reveals clonal revival and expansion of precursor exhausted T cells during anti-PD-1 therapy in lung cancer. Nature Cancer. 3(1). 108–121. 253 indexed citations breakdown →
10.
Zhang, Fan, Hua Bai, Ranran Gao, et al.. (2020). Dynamics of peripheral T cell clones during PD-1 blockade in non-small cell lung cancer. Cancer Immunology Immunotherapy. 69(12). 2599–2611. 27 indexed citations
11.
Yang, Rui, Sijin Cheng, Nan Luo, et al.. (2019). Distinct epigenetic features of tumor-reactive CD8+ T cells in colorectal cancer patients revealed by genome-wide DNA methylation analysis. Genome biology. 21(1). 2–2. 97 indexed citations
12.
Zhang, Yuanyuan, Liangtao Zheng, Lei Zhang, et al.. (2019). Deep single-cell RNA sequencing data of individual T cells from treatment-naïve colorectal cancer patients. Scientific Data. 6(1). 131–131. 40 indexed citations
13.
Zhang, Lei, Xin Yu, Liangtao Zheng, et al.. (2018). Lineage tracking reveals dynamic relationships of T cells in colorectal cancer. Nature. 564(7735). 268–272. 814 indexed citations breakdown →
14.
Guo, Xinyi, Yuanyuan Zhang, Liangtao Zheng, et al.. (2018). Global characterization of T cells in non-small-cell lung cancer by single-cell sequencing. Nature Medicine. 24(7). 978–985. 990 indexed citations breakdown →
15.
Hu, Xueda, Jingyi Chen, Xiaoshun Shi, et al.. (2017). RNA editing of AZIN1 induces the malignant progression of non-small-cell lung cancers. Tumor Biology. 39(8). 3726131600–3726131600. 45 indexed citations
16.
17.
Tang, Zefang, et al.. (2016). GE-mini: a mobile APP for large-scale gene expression visualization. Bioinformatics. 33(6). 941–943. 27 indexed citations
18.
Hu, Xueda & Zemin Zhang. (2015). Understanding the Genetic Mechanisms of Cancer Drug Resistance Using Genomic Approaches. Trends in Genetics. 32(2). 127–137. 66 indexed citations
19.
Du, Enzai, et al.. (2013). Winter soil respiration during soil-freezing process in a boreal forest in Northeast China. Journal of Plant Ecology. 6(5). 349–357. 39 indexed citations
20.
Zhou, Donger, Liu Yang, Liangtao Zheng, et al.. (2013). Exome Capture Sequencing of Adenoma Reveals Genetic Alterations in Multiple Cellular Pathways at the Early Stage of Colorectal Tumorigenesis. PLoS ONE. 8(1). e53310–e53310. 39 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

Breakdown of academic impact, for papers by Florent Petitprez Breakdown of academic impact, for papers by Helen K. Angell Breakdown of academic impact, for papers by Antje Sucker Breakdown of academic impact, for papers by Liangtao Zheng Breakdown of academic impact, for papers by Tom Dønnem Breakdown of academic impact, for papers by Lill‐Tove Busund Breakdown of academic impact, for papers by Tessa Fredriksen Breakdown of academic impact, for papers by Nicolás A. Giraldo Breakdown of academic impact, for papers by Otávia L. Caballero Breakdown of academic impact, for papers by Isabelle Treilleux
Rankless by CCL
2026