Baojun Zhang

3.9k total citations · 2 hit papers
98 papers, 2.6k citations indexed

About

Baojun Zhang is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Baojun Zhang has authored 98 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Immunology, 26 papers in Molecular Biology and 12 papers in Oncology. Recurrent topics in Baojun Zhang's work include Immune Cell Function and Interaction (33 papers), T-cell and B-cell Immunology (26 papers) and Immunotherapy and Immune Responses (14 papers). Baojun Zhang is often cited by papers focused on Immune Cell Function and Interaction (33 papers), T-cell and B-cell Immunology (26 papers) and Immunotherapy and Immune Responses (14 papers). Baojun Zhang collaborates with scholars based in China, United States and Taiwan. Baojun Zhang's co-authors include Yanhong Su, Anjun Jiao, Lina Sun, Yong Zhao, Xiaoyun Shi, Lianjun Zhang, Chun Zeng, Yuan Zhuang, Yanyan Qu and He Liu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Baojun Zhang

88 papers receiving 2.5k citations

Hit Papers

T cells in health and disease 2023 2026 2024 2025 2023 2024 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Baojun Zhang China 24 1.2k 696 421 264 222 98 2.6k
Yusuke Endo Japan 27 1.5k 1.2× 849 1.2× 295 0.7× 221 0.8× 162 0.7× 96 2.7k
Nan Lü China 28 752 0.6× 1.3k 1.9× 366 0.9× 284 1.1× 156 0.7× 114 2.9k
Hang‐Rae Kim South Korea 30 933 0.8× 820 1.2× 379 0.9× 178 0.7× 159 0.7× 114 2.8k
Tianfu Wu United States 33 1.5k 1.3× 966 1.4× 298 0.7× 155 0.6× 131 0.6× 98 3.4k
Yuki I. Kawamura Japan 29 612 0.5× 876 1.3× 303 0.7× 206 0.8× 198 0.9× 113 2.4k
Hamed Mohammadi Iran 35 1.4k 1.2× 1.3k 1.9× 733 1.7× 569 2.2× 277 1.2× 130 3.9k
Yi Zhao China 27 1.7k 1.4× 1.0k 1.5× 224 0.5× 134 0.5× 233 1.0× 99 3.1k
Yunji Park South Korea 25 2.0k 1.7× 785 1.1× 420 1.0× 84 0.3× 206 0.9× 43 3.2k
Junichi Tsukada Japan 31 755 0.6× 713 1.0× 434 1.0× 273 1.0× 193 0.9× 187 3.0k
Stephen Hatfield United States 24 1.1k 1.0× 966 1.4× 638 1.5× 497 1.9× 124 0.6× 41 3.1k

Countries citing papers authored by Baojun Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Baojun Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baojun Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Baojun Zhang. A scholar is included among the top collaborators of Baojun Zhang 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 Baojun Zhang. Baojun Zhang 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.
Zhang, Xiaoyan, et al.. (2025). Design and synthesis of novel sulfanilamide derivatives as aminopeptidase N inhibitors. Bioorganic & Medicinal Chemistry Letters. 124. 130257–130257.
2.
Yang, Biao, Wenhua Li, Xin Wang, et al.. (2025). Zinc finger protein Zfp335 is required for T cell homeostatic proliferation through regulating Lmnb1. Cell & Bioscience. 15(1). 139–139.
3.
Gao, Aifang, et al.. (2025). Transmission pathways and potential source regions for atmospheric fine particulate matter and ozone in Urumqi. Journal of Environmental Sciences. 159. 683–693.
4.
Zhang, Zhaoqi, Cheng Chen, Yanan Xu, et al.. (2024). Trappc1 intrinsically prevents ferroptosis of naive T cells to avoid spontaneous autoinflammatory disease in mice. European Journal of Immunology. 54(3). e2350836–e2350836. 5 indexed citations
5.
Lee, Sang-Yun, Susan A. Shinton, Mitchell I. Parker, et al.. (2024). E proteins control the development of NKγδT cells through their invariant T cell receptor. Nature Communications. 15(1). 5078–5078. 2 indexed citations
6.
Xing, Pengfei, Cangang Zhang, Kaili Ma, et al.. (2024). Cystine deprivation triggers CD36-mediated ferroptosis and dysfunction of tumor infiltrating CD8+ T cells. Cell Death and Disease. 15(2). 145–145. 53 indexed citations breakdown →
7.
Li, Wenhui, Zhenghao Wang, Cangang Zhang, et al.. (2023). SEL1L preserves CD8+ T-cell survival and homeostasis by fine-tuning PERK signaling and the IL-15 receptor-mediated mTORC1 axis. Cellular and Molecular Immunology. 20(10). 1232–1250. 9 indexed citations
8.
Zhang, Cangang, Xin Wang, Lina Sun, et al.. (2023). Single-cell sequencing reveals the evolution of immune molecules across multiple vertebrate species. Journal of Advanced Research. 55. 73–87. 21 indexed citations
9.
Zhang, Cangang, Lei Lei, Xiaofeng Yang, et al.. (2021). Single-cell sequencing reveals antitumor characteristics of intratumoral immune cells in old mice. Journal for ImmunoTherapy of Cancer. 9(10). e002809–e002809. 20 indexed citations
10.
Lei, Lei, Hongbo Qian, Xiaofang Yang, et al.. (2020). The phenotypic changes of γδ T cells in COVID‐19 patients. Journal of Cellular and Molecular Medicine. 24(19). 11603–11606. 53 indexed citations
11.
Wang, Qun, Yen‐Yu Lin, Baojun Zhang, et al.. (2020). A mosaic analysis system with Cre or Tomato expression in the mouse. Proceedings of the National Academy of Sciences. 117(45). 28212–28220. 3 indexed citations
12.
Li, Yi, Jiajun Wang, Baozeng Zhou, et al.. (2018). Tunable interlayer coupling and Schottky barrier in graphene and Janus MoSSe heterostructures by applying an external field. Physical Chemistry Chemical Physics. 20(37). 24109–24116. 105 indexed citations
13.
Zhang, Baojun, et al.. (2018). Id3 Restricts γδ NKT Cell Expansion by Controlling Egr2 and c-Myc Activity. The Journal of Immunology. 201(5). 1452–1459. 11 indexed citations
14.
Zhang, Baojun. (2011). A LS channel estimation algorithm based on adaptive filtering for OFDM system. 1 indexed citations
15.
Zhang, Baojun, et al.. (2009). Immunization with glutathione S-transferase-fused mutant staphylococcal enterotoxin C protects against Staphylococcus aureus-induced mastitis in mouse model. Zhongguo yufang shouyi xuebao. 31(7). 557–562. 1 indexed citations
16.
Mao, Yongyi, Mingyuan Li, & Baojun Zhang. (2009). A TOA/ AOA Location Algorithm in NLOS Environment. 电子与信息学报. 31(1). 37–40. 4 indexed citations
17.
Zhang, Baojun. (2009). A TOA/AOA location algorithm based on adaptive genetic algorithm in NLOS environment. 1 indexed citations
18.
Zhang, Baojun. (2008). TDOA/AOA Localization Algorithm Based on RBF Neural Network. Jisuanji gongcheng. 2 indexed citations
19.
Zhang, Baojun. (2008). AOA location algorithm based on RBF neural network. Journal of Computer Applications.
20.
Wu, Weijiang, et al.. (1979). DISTRIBUTION OF NODULARIZING ELEMENTS IN R. E. TREATED SPHEROIDAL GRAPHITE CAST IRONS. Acta Metallurgica Sinica. 15(1). 1–187. 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.

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