Yiming Yang

821 total citations
42 papers, 641 citations indexed

About

Yiming Yang is a scholar working on Immunology, Molecular Biology and Hematology. According to data from OpenAlex, Yiming Yang has authored 42 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Immunology, 12 papers in Molecular Biology and 6 papers in Hematology. Recurrent topics in Yiming Yang's work include Immunotherapy and Immune Responses (11 papers), T-cell and B-cell Immunology (11 papers) and Immune Cell Function and Interaction (6 papers). Yiming Yang is often cited by papers focused on Immunotherapy and Immune Responses (11 papers), T-cell and B-cell Immunology (11 papers) and Immune Cell Function and Interaction (6 papers). Yiming Yang collaborates with scholars based in China and United States. Yiming Yang's co-authors include Jie Yang, Rufeng Xie, Huahua Fan, Yun‐Xia Luan, Wenying Yin, Jon Mallatt, Li Gao, Y. Li, Qing Wei and Yiping Lu and has published in prestigious journals such as Blood, PLoS ONE and Molecular Biology and Evolution.

In The Last Decade

Yiming Yang

42 papers receiving 622 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yiming Yang China 15 203 180 101 62 57 42 641
Joy Miyashiro United States 11 120 0.6× 363 2.0× 118 1.2× 22 0.4× 30 0.5× 14 714
Nilesh Dharajiya United States 16 225 1.1× 182 1.0× 64 0.6× 28 0.5× 54 0.9× 27 882
Takaaki Fukuda Japan 17 175 0.9× 241 1.3× 70 0.7× 10 0.2× 41 0.7× 52 744
Jiayu Wang China 16 257 1.3× 128 0.7× 165 1.6× 13 0.2× 52 0.9× 51 753
Steven Woolley United States 16 151 0.7× 129 0.7× 93 0.9× 17 0.3× 262 4.6× 31 727
Nie-Lin Ge United States 8 260 1.3× 58 0.3× 127 1.3× 39 0.6× 17 0.3× 11 615
Vaggelis Harokopos Greece 14 466 2.3× 129 0.7× 66 0.7× 13 0.2× 73 1.3× 18 991
Xiangyong Li China 16 290 1.4× 67 0.4× 170 1.7× 22 0.4× 93 1.6× 53 838
R Bohman United States 15 292 1.4× 187 1.0× 74 0.7× 10 0.2× 42 0.7× 19 657

Countries citing papers authored by Yiming Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yiming Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yiming Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Yiming Yang. A scholar is included among the top collaborators of Yiming Yang 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 Yiming Yang. Yiming Yang 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.
Yang, Yiming, et al.. (2024). The significance of CD8+ tumor-infiltrating lymphocytes exhaustion heterogeneity and its underlying mechanism in diffuse large B-cell lymphoma. International Immunopharmacology. 137. 112447–112447. 3 indexed citations
2.
Xie, Rufeng, et al.. (2024). The effect of modulating platelet reactive oxygen species by the addition of antioxidants to prevent clearance of cold-stored platelets. Hematology Transfusion and Cell Therapy. 46. S272–S283. 3 indexed citations
3.
Yang, Yiming, et al.. (2024). Diffuse large B-cell lymphoma: the significance of CD8+ tumor-infiltrating lymphocytes exhaustion mediated by TIM3/Galectin-9 pathway. Journal of Translational Medicine. 22(1). 174–174. 13 indexed citations
4.
Yang, Yiming, Xueqin Deng, Ningning Chao, et al.. (2023). High CD8+tumor-infiltrating lymphocytes indicate severe exhaustion and poor prognosis in angioimmunoblastic T-cell lymphoma. Frontiers in Immunology. 14. 1228004–1228004. 9 indexed citations
5.
Huang, Junxia, Xiuyuan Wang, Jie Yang, et al.. (2021). MicroRNA‐590‐3p inhibits T helper 17 cells and ameliorates inflammation in lupus mice. Immunology. 165(2). 260–273. 20 indexed citations
6.
Sun, Juan, Yiming Yang, Xiaona Huo, et al.. (2019). Efficient Therapeutic Function and Mechanisms of Human Polyclonal CD8+CD103+Foxp3+Regulatory T Cells on Collagen-Induced Arthritis in Mice. Journal of Immunology Research. 2019. 1–12. 18 indexed citations
7.
Liu, Lidong, Juan Sun, Jie Yang, et al.. (2018). Baicalin inhibits IgG production by regulating Treg/Th17 axis in a mouse model of red blood cell transfusion. International Immunopharmacology. 66. 282–287. 6 indexed citations
8.
Xie, Rufeng, Yiming Yang, Yueyue Zhu, et al.. (2017). Microparticles in red cell concentrates prime polymorphonuclear neutrophils and cause acute lung injury in a two-event mouse model. International Immunopharmacology. 55. 98–104. 24 indexed citations
9.
Wang, Zhongying, et al.. (2015). The Effect of Sphingosine 1-Phosphate/Sphingosine 1-Phosphate Receptor on Neutrophil Function and the Relevant Signaling Pathway. Acta Haematologica. 134(1). 49–56. 8 indexed citations
10.
Yang, Jie, Yiming Yang, Huahua Fan, & Hejian Zou. (2014). Tolerogenic Splenic IDO+Dendritic Cells from the Mice Treated with Induced-Treg Cells Suppress Collagen-Induced Arthritis. Journal of Immunology Research. 2014. 1–12. 21 indexed citations
11.
Yang, Yiming, et al.. (2014). Tolerogenic dendritic cells modified by tacrolimus suppress CD4+ T-cell proliferation and inhibit collagen-induced arthritis in mice. International Immunopharmacology. 21(1). 247–254. 30 indexed citations
12.
Yang, Jie, et al.. (2013). A Mouse Model of Adoptive Immunotherapeutic Targeting of Autoimmune Arthritis Using Allo-Tolerogenic Dendritic Cells. PLoS ONE. 8(10). e77729–e77729. 20 indexed citations
13.
Yang, Yiming, et al.. (2013). Regulatory effect of nicotine on collagen-induced arthritis and on the induction and function of in vitro-cultured Th17 cells. Modern Rheumatology. 24(5). 781–787. 11 indexed citations
14.
Fan, Huahua, Jie Yang, Liang Chen, et al.. (2012). Comparative study of regulatory T cells expanded ex vivo from cord blood and adult peripheral blood. Immunology. 136(2). 218–230. 30 indexed citations
15.
16.
Du, Gangjun, Haihong Lin, Yiming Yang, et al.. (2010). Dietary quercetin combining intratumoral doxorubicin injection synergistically induces rejection of established breast cancer in mice. International Immunopharmacology. 10(7). 819–826. 62 indexed citations
17.
18.
Luan, Yun‐Xia, et al.. (2005). The Phylogenetic Positions of Three Basal-Hexapod Groups (Protura, Diplura, and Collembola) Based on Ribosomal RNA Gene Sequences. Molecular Biology and Evolution. 22(7). 1579–1592. 83 indexed citations
19.
Li, Y., et al.. (2004). Safety of mycophenolate mofetil versus azathioprine in renal transplantation: A systematic review. Transplantation Proceedings. 36(7). 2068–2070. 64 indexed citations
20.
Luan, Yun‐Xia, et al.. (2004). Analysis of 18S rRNA gene of Octostigma sinensis (Projapygoidea: Octostigmatidae) supports the monophyly of Diplura. Pedobiologia. 48(5-6). 453–459. 12 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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