Cong Ye

469 total citations
15 papers, 289 citations indexed

About

Cong Ye is a scholar working on Immunology, Epidemiology and Rheumatology. According to data from OpenAlex, Cong Ye has authored 15 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 3 papers in Epidemiology and 3 papers in Rheumatology. Recurrent topics in Cong Ye's work include Immune Cell Function and Interaction (2 papers), Immune cells in cancer (2 papers) and Liver Diseases and Immunity (2 papers). Cong Ye is often cited by papers focused on Immune Cell Function and Interaction (2 papers), Immune cells in cancer (2 papers) and Liver Diseases and Immunity (2 papers). Cong Ye collaborates with scholars based in China, United States and Japan. Cong Ye's co-authors include Jie Fan, Yi Zhang, Siqi Chen, Timothy M. Kuzel, Donye Dominguez, Bin Zhang, Zhe Geng, Deyu Fang, Alan Long and Lei Qin and has published in prestigious journals such as The Journal of Immunology, Biomaterials and Cancer Research.

In The Last Decade

Cong Ye

12 papers receiving 286 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cong Ye China 7 181 98 55 54 47 15 289
Josep Maria Casasa i Carbo Spain 9 72 0.4× 98 1.0× 43 0.8× 52 1.0× 91 1.9× 19 221
Mónica Pascual-García Spain 6 67 0.4× 60 0.6× 33 0.6× 14 0.3× 59 1.3× 6 144
Stephanie The United States 7 63 0.3× 71 0.7× 74 1.3× 59 1.1× 29 0.6× 15 219
Rachael Jarrett United Kingdom 3 203 1.1× 71 0.7× 22 0.4× 11 0.2× 26 0.6× 4 267
Peipei Xu China 9 65 0.4× 113 1.2× 107 1.9× 123 2.3× 73 1.6× 13 315
Lidia Sánchez-Moral Spain 6 104 0.6× 125 1.3× 80 1.5× 72 1.3× 14 0.3× 7 251
Sonia Karabina France 9 107 0.6× 160 1.6× 9 0.2× 17 0.3× 30 0.6× 16 243
Elena Kazakova Russia 6 159 0.9× 120 1.2× 67 1.2× 48 0.9× 15 0.3× 9 270
Klaudia Klicka Poland 9 58 0.3× 165 1.7× 27 0.5× 136 2.5× 11 0.2× 11 324

Countries citing papers authored by Cong Ye

Since Specialization
Citations

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

Fields of papers citing papers by Cong Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cong Ye

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

All Works

15 of 15 papers shown
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Chen, Yu, Cong Ye, Pingting Yang, et al.. (2025). Thalidomide can effectively prevent relapse in IgG4-related disease outweighing its side effects: a multicentre, randomised, double-blinded, placebo-controlled study. Annals of the Rheumatic Diseases. 84(7). 1246–1252. 4 indexed citations
4.
Ye, Cong, Jie Sun, Hongdong Ma, et al.. (2025). Natural fish swim bladder-derived MPN-nanofibrous biomimetic system exhibit ECM-responsive signal regulation and promote robust tendon–bone healing. Journal of Nanobiotechnology. 23(1). 489–489. 2 indexed citations
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Wang, Wei, Ting Zhou, Ying Jiang, et al.. (2024). Dysregulation and impaired anti-bacterial potential of mucosal-associated invariant T cells in autoimmune liver diseases. International Immunopharmacology. 142(Pt B). 113175–113175. 4 indexed citations
7.
Hu, Ziwei, Yangyang Hu, Shuoqi Zhang, et al.. (2024). Machine-learning-based models assist the prediction of pulmonary embolism in autoimmune diseases: A retrospective, multicenter study. Chinese Medical Journal. 137(15). 1811–1822. 7 indexed citations
8.
Ye, Cong, et al.. (2020). Efficacy of Cleaning Methods for Ophthalmic Microscopic Instruments: A Comparison Study. AORN Journal. 112(2). 112–121.
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Hu, Shaoxian, Cong Ye, Xiaowei Huang, et al.. (2020). The presence of P2RX7 single nuclear polymorphism is associated with a gain of function in P2X7 receptor and inflammasome activation in SLE complicated with pericarditis.. PubMed. 38(3). 442–449. 16 indexed citations
10.
Geng, Zhe, et al.. (2019). α-Difluoromethylornithine suppresses inflammatory arthritis by impairing myeloid-derived suppressor cells. International Immunopharmacology. 71. 251–258. 13 indexed citations
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Cai, Shaozhe, Bingxia Ming, Cong Ye, et al.. (2019). Similar Transition Processes in Synovial Fibroblasts from Rheumatoid Arthritis and Osteoarthritis: A Single-Cell Study. Journal of Immunology Research. 2019. 1–11. 22 indexed citations
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Dominguez, Donye, Cong Ye, Zhe Geng, et al.. (2016). Exogenous IL-33 Restores Dendritic Cell Activation and Maturation in Established Cancer. The Journal of Immunology. 198(3). 1365–1375. 80 indexed citations
14.
Ye, Cong, Zhe Geng, Donye Dominguez, et al.. (2015). Targeting Ornithine Decarboxylase by α-Difluoromethylornithine Inhibits Tumor Growth by Impairing Myeloid-Derived Suppressor Cells. The Journal of Immunology. 196(2). 915–923. 57 indexed citations
15.
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

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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