Bin Zhang

9.2k total citations
167 papers, 6.2k citations indexed

About

Bin Zhang is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Bin Zhang has authored 167 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Immunology, 74 papers in Molecular Biology and 72 papers in Oncology. Recurrent topics in Bin Zhang's work include Immune Cell Function and Interaction (41 papers), Immunotherapy and Immune Responses (40 papers) and Cancer Immunotherapy and Biomarkers (36 papers). Bin Zhang is often cited by papers focused on Immune Cell Function and Interaction (41 papers), Immunotherapy and Immune Responses (40 papers) and Cancer Immunotherapy and Biomarkers (36 papers). Bin Zhang collaborates with scholars based in United States, China and Japan. Bin Zhang's co-authors include Yi Zhang, Xinfeng Chen, Siqi Chen, Jie Fan, Liping Wang, Tyler J. Curiel, Mengjia Song, Donald A. Rowley, Hans Schreiber and Donye Dominguez and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Bin Zhang

157 papers receiving 6.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bin Zhang United States 46 2.9k 2.9k 2.3k 729 629 167 6.2k
Grégoire Mignot France 26 4.5k 1.5× 3.2k 1.1× 2.3k 1.0× 558 0.8× 525 0.8× 49 7.5k
Theocharis Panaretakis Sweden 35 3.4k 1.2× 2.4k 0.8× 2.9k 1.3× 856 1.2× 612 1.0× 64 7.2k
Takahiro Yamazaki United States 28 2.5k 0.8× 2.2k 0.7× 1.9k 0.8× 460 0.6× 627 1.0× 61 5.1k
Veronika Sexl Austria 51 4.4k 1.5× 3.6k 1.2× 3.3k 1.5× 1.1k 1.5× 602 1.0× 183 9.5k
Antoine Tesnière France 20 4.7k 1.6× 3.2k 1.1× 2.1k 0.9× 341 0.5× 651 1.0× 27 7.6k
Elaine Y. Lin United States 31 3.9k 1.3× 4.0k 1.4× 3.5k 1.6× 1.6k 2.2× 621 1.0× 41 8.5k
Tsukasa Baba Japan 44 2.3k 0.8× 3.3k 1.1× 2.4k 1.0× 1.0k 1.4× 754 1.2× 184 7.5k
Eduardo M. Sotomayor United States 51 6.6k 2.2× 4.9k 1.7× 3.9k 1.7× 989 1.4× 423 0.7× 198 11.1k
Olga Krysko Belgium 32 2.6k 0.9× 1.4k 0.5× 2.2k 1.0× 522 0.7× 1.2k 2.0× 60 6.4k
Bassam Janji Luxembourg 41 3.2k 1.1× 2.7k 0.9× 3.2k 1.4× 2.5k 3.5× 660 1.0× 92 7.4k

Countries citing papers authored by Bin Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Bin Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bin Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Bin Zhang. A scholar is included among the top collaborators of Bin 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 Bin Zhang. Bin 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, Bin, et al.. (2025). Low expression of CADPS predicts poor prognosis in pediatric acute lymphoblastic leukemia without fusion genes. Biomolecules and Biomedicine. 25(10). 2295–2307. 1 indexed citations
2.
Wang, Shumin, Feng Li, Liubo Zhang, et al.. (2025). HMGB1 inhibits the IFN-γ–induced PD-L1 expression in NSCLC. The Journal of Immunology. 214(9). 2480–2488.
3.
Li, Na, Yujie Pan, Peng Chu, et al.. (2024). Hepatocyte growth factor promotes melanoma metastasis through ubiquitin-specific peptidase 22-mediated integrins upregulation. Cancer Letters. 604. 217196–217196. 2 indexed citations
4.
Pandey, Surya, Jeffrey A. Sosman, Marie‐Pier Tétreault, et al.. (2024). Immune Assessment Today: Optimizing and Standardizing Efforts to Monitor Immune Responses in Cancer and Beyond. Cancers. 16(3). 475–475. 1 indexed citations
5.
Tang, Hui, et al.. (2023). Toroidal-spiral particles as a CAR-T cell delivery device for solid tumor immunotherapy. Journal of Controlled Release. 362. 620–630. 3 indexed citations
6.
7.
Spira, Alexander I., Michael S. Gordon, Jason T. Henry, et al.. (2023). 756 First-in-human, open-label, multicenter, phase 1 clinical study to evaluate safety, tolerability, pharmacokinetics and pharmacodynamics of anti Siglec-15 PYX-106 in subjects with advanced solid tumors. SHILAP Revista de lepidopterología. A852–A852. 1 indexed citations
8.
Teplensky, Michelle H., et al.. (2023). Tuning DNA Dissociation from Spherical Nucleic Acids for Enhanced Immunostimulation. ACS Nano. 17(18). 17996–18007. 7 indexed citations
9.
Barber, Emma L., Siqi Chen, Mario Javier Pineda, et al.. (2022). Clinical and Biological Activity of Chemoimmunotherapy in Advanced Endometrial Adenocarcinoma: A Phase II Trial of the Big Ten Cancer Research Consortium. Cancer Research Communications. 2(10). 1293–1303. 7 indexed citations
10.
Chen, Siqi, et al.. (2020). The Expression of Adenosine A2B Receptor on Antigen-Presenting Cells Suppresses CD8+ T-cell Responses and Promotes Tumor Growth. Cancer Immunology Research. 8(8). 1064–1074. 56 indexed citations
11.
Zhang, Zhen, Shasha Liu, Bin Zhang, et al.. (2020). T Cell Dysfunction and Exhaustion in Cancer. Frontiers in Cell and Developmental Biology. 8. 17–17. 253 indexed citations
12.
Mahalingam, Devalingam, Grey Wilkinson, Kevin H. Eng, et al.. (2019). Pembrolizumab in Combination with the Oncolytic Virus Pelareorep and Chemotherapy in Patients with Advanced Pancreatic Adenocarcinoma: A Phase Ib Study. Clinical Cancer Research. 26(1). 71–81. 142 indexed citations
13.
Song, Mengjia, Ping Yü, Kai Zhang, et al.. (2019). Low-Dose IFNγ Induces Tumor Cell Stemness in Tumor Microenvironment of Non–Small Cell Lung Cancer. Cancer Research. 79(14). 3737–3748. 113 indexed citations
14.
15.
Guan, Chenxia M., Natalia Chernyak, Donye Dominguez, et al.. (2018). RNA‐Based Immunostimulatory Liposomal Spherical Nucleic Acids as Potent TLR7/8 Modulators. Small. 14(49). e1803284–e1803284. 59 indexed citations
16.
17.
Drerup, Justin, Álvaro Padrón, Kruthi Murthy, et al.. (2015). Immunotherapy for Ovarian Cancer. Current Treatment Options in Oncology. 16(1). 317–317. 45 indexed citations
18.
Chen, Siqi, Long Wang, Jie Fan, et al.. (2014). Host miR155 Promotes Tumor Growth through a Myeloid-Derived Suppressor Cell–Dependent Mechanism. Cancer Research. 75(3). 519–531. 80 indexed citations
19.
Zhang, Jianmin, Haiyan Shen, Lili Guo, et al.. (2011). Development and application of a loop-mediated isothermal amplification method for rapid detection of Haemophilus parasuis. AFRICAN JOURNAL OF BIOTECHNOLOGY. 10(50). 10263–10270. 1 indexed citations
20.
Zhang, Bin, Yi Zhang, Natalie A. Bowerman, et al.. (2008). Equilibrium between Host and Cancer Caused by Effector T Cells Killing Tumor Stroma. Cancer Research. 68(5). 1563–1571. 59 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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