Yongxiang Yan

950 total citations
12 papers, 619 citations indexed

About

Yongxiang Yan is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Yongxiang Yan has authored 12 papers receiving a total of 619 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 7 papers in Immunology and 2 papers in Molecular Biology. Recurrent topics in Yongxiang Yan's work include Cancer Immunotherapy and Biomarkers (5 papers), Immune Cell Function and Interaction (4 papers) and CAR-T cell therapy research (3 papers). Yongxiang Yan is often cited by papers focused on Cancer Immunotherapy and Biomarkers (5 papers), Immune Cell Function and Interaction (4 papers) and CAR-T cell therapy research (3 papers). Yongxiang Yan collaborates with scholars based in China and Russia. Yongxiang Yan's co-authors include Kongming Wu, Pengfei Zhou, Ming Yi, Mengke Niu, Shuangli Zhu, Qian Chu, Yuze Wu, Ying Jiao, Anping Li and Suxia Luo and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Frontiers in Immunology and Advanced Science.

In The Last Decade

Yongxiang Yan

11 papers receiving 608 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yongxiang Yan China 8 356 332 203 74 70 12 619
William R. Gwin United States 13 426 1.2× 295 0.9× 272 1.3× 82 1.1× 125 1.8× 34 669
Karin M. Knudson United States 15 489 1.4× 502 1.5× 196 1.0× 79 1.1× 77 1.1× 24 807
Casey Moore United States 9 253 0.7× 315 0.9× 191 0.9× 65 0.9× 73 1.0× 16 536
Kyle R. Cron United States 4 299 0.8× 584 1.8× 219 1.1× 41 0.6× 48 0.7× 10 794
Elena García-Martínez Spain 9 284 0.8× 365 1.1× 246 1.2× 61 0.8× 29 0.4× 12 682
Jens Pahl Germany 12 418 1.2× 565 1.7× 187 0.9× 71 1.0× 54 0.8× 20 794
Anthony Miliotto United States 13 559 1.6× 570 1.7× 255 1.3× 63 0.9× 37 0.5× 23 866
Jonathan A. Hensel United States 14 307 0.9× 234 0.7× 230 1.1× 102 1.4× 26 0.4× 23 607
Wout de Mey Belgium 10 210 0.6× 205 0.6× 165 0.8× 79 1.1× 58 0.8× 11 409
Samuel Alsén Sweden 9 277 0.8× 513 1.5× 191 0.9× 28 0.4× 31 0.4× 15 737

Countries citing papers authored by Yongxiang Yan

Since Specialization
Citations

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

Fields of papers citing papers by Yongxiang Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongxiang Yan

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

All Works

12 of 12 papers shown
1.
Yi, Ming, Tianye Li, Mengke Niu, et al.. (2024). Blockade of CCR5+ T Cell Accumulation in the Tumor Microenvironment Optimizes Anti‐TGF‐β/PD‐L1 Bispecific Antibody. Advanced Science. 11(43). e2408598–e2408598. 15 indexed citations
3.
Liu, Guangjie, Qin Li, Siting Zhao, et al.. (2022). Subsequent malaria enhances virus-specific T cell immunity in SIV-infected Chinese rhesus macaques. Cell Communication and Signaling. 20(1). 101–101. 4 indexed citations
4.
Yi, Ming, Mengke Niu, Yuze Wu, et al.. (2022). Combination of oral STING agonist MSA-2 and anti-TGF-β/PD-L1 bispecific antibody YM101: a novel immune cocktail therapy for non-inflamed tumors. Journal of Hematology & Oncology. 15(1). 142–142. 119 indexed citations
5.
Yi, Ming, Yuze Wu, Mengke Niu, et al.. (2022). Anti-TGF-β/PD-L1 bispecific antibody promotes T cell infiltration and exhibits enhanced antitumor activity in triple-negative breast cancer. Journal for ImmunoTherapy of Cancer. 10(12). e005543–e005543. 112 indexed citations
6.
Yi, Ming, Jing Zhang, Anping Li, et al.. (2021). The construction, expression, and enhanced anti-tumor activity of YM101: a bispecific antibody simultaneously targeting TGF-β and PD-L1. Journal of Hematology & Oncology. 14(1). 27–27. 162 indexed citations
7.
Yi, Ming, Mengke Niu, Jing Zhang, et al.. (2021). Combine and conquer: manganese synergizing anti-TGF-β/PD-L1 bispecific antibody YM101 to overcome immunotherapy resistance in non-inflamed cancers. Journal of Hematology & Oncology. 14(1). 146–146. 108 indexed citations
8.
Yang, Rui, Xin Wang, Lei Yang, et al.. (2021). Bispecific Antibody PD-L1 x CD3 Boosts the Anti-Tumor Potency of the Expanded Vγ2Vδ2 T Cells. Frontiers in Immunology. 12. 654080–654080. 11 indexed citations
9.
Jiao, Ying, Ming Yi, Linping Xu, et al.. (2020). CD38: targeted therapy in multiple myeloma and therapeutic potential for solid cancers. Expert Opinion on Investigational Drugs. 29(11). 1295–1308. 21 indexed citations
10.
Yu, Shengnan, Jing Zhang, Yongxiang Yan, et al.. (2019). A novel asymmetrical anti-HER2/CD3 bispecific antibody exhibits potent cytotoxicity for HER2-positive tumor cells. Journal of Experimental & Clinical Cancer Research. 38(1). 355–355. 61 indexed citations
11.
Liu, Guangjie, Qin Li, Yongxiang Yan, et al.. (2019). SIV infection aggravates malaria in a Chinese rhesus monkey coinfection model. BMC Infectious Diseases. 19(1). 965–965. 4 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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