Wenting Chen

822 total citations · 1 hit paper
22 papers, 333 citations indexed

About

Wenting Chen is a scholar working on Oncology, Surgery and Immunology. According to data from OpenAlex, Wenting Chen has authored 22 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 6 papers in Surgery and 6 papers in Immunology. Recurrent topics in Wenting Chen's work include Immunotherapy and Immune Responses (4 papers), CAR-T cell therapy research (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Wenting Chen is often cited by papers focused on Immunotherapy and Immune Responses (4 papers), CAR-T cell therapy research (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Wenting Chen collaborates with scholars based in China, Japan and Norway. Wenting Chen's co-authors include Jingwei Jiang, Que Bai, Jinxi Liu, Qian Gao, Tingli Lu, Caiyun Zheng, Na Sun, Fangfang Hu, Xiaoxue Xie and Yanni Zhang and has published in prestigious journals such as Blood, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Wenting Chen

19 papers receiving 331 citations

Hit Papers

Chitosan and hyaluronic-based hydrogels could promote the... 2023 2026 2024 2025 2023 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Chitosan and hyaluronic-based hydrogels could promote the infected wound healing
    2023 82 citations Que Bai, Qian Gao et al. International Journal of Biological Macromolecules profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wenting Chen China 9 109 97 71 71 67 22 333
Gaofeng Wang China 14 88 0.8× 105 1.1× 151 2.1× 31 0.4× 85 1.3× 34 528
Nianfeng Sun China 11 70 0.6× 61 0.6× 156 2.2× 72 1.0× 23 0.3× 29 356
Xianyan Qin China 12 35 0.3× 65 0.7× 118 1.7× 106 1.5× 48 0.7× 18 429
Deby Fajar Mardhian Netherlands 7 139 1.3× 61 0.6× 84 1.2× 68 1.0× 23 0.3× 8 336
Mi‐Jung Kim South Korea 12 126 1.2× 32 0.3× 137 1.9× 77 1.1× 18 0.3× 17 435
Zi‐Li Sun China 9 41 0.4× 38 0.4× 178 2.5× 51 0.7× 142 2.1× 13 446
Yanyan Hu China 11 90 0.8× 41 0.4× 102 1.4× 96 1.4× 52 0.8× 41 457
Zhe Ge China 10 109 1.0× 143 1.5× 215 3.0× 71 1.0× 20 0.3× 19 446
Joon‐Ho Bae South Korea 10 61 0.6× 20 0.2× 91 1.3× 78 1.1× 56 0.8× 13 395

Countries citing papers authored by Wenting Chen

Since Specialization
Citations

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

Fields of papers citing papers by Wenting Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenting Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Wenting Chen. A scholar is included among the top collaborators of Wenting Chen 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 Wenting Chen. Wenting Chen 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.
Chen, Wenting, et al.. (2025). Effects of the regenerating gene family on DSS-induced ulcerative colitis in a mouse model. Biochemical and Biophysical Research Communications. 766. 151894–151894. 2 indexed citations
2.
Hong, Yang, et al.. (2025). Elevated waist-to-hip ratio, as an abdominal obesity index, predicts the risk of diabetic kidney injury. World Journal of Diabetes. 16(4). 101384–101384.
3.
Guan, Xin‐Yuan, et al.. (2024). Remodeling Microenvironment for Implant‐Associated Osteomyelitis by Dual Metal Peroxide. Advanced Healthcare Materials. 13(16). e2303529–e2303529. 15 indexed citations
4.
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6.
Zhao, Shushan, et al.. (2023). CCT6A promotes esophageal squamous cell carcinoma cell proliferation, invasion and epithelial-mesenchymal transition by activating TGF-β/Smad/c-Myc pathway. Irish Journal of Medical Science (1971 -). 192(6). 2653–2660. 6 indexed citations
7.
Xuan, Wenting, Wenting Chen, Lishan Huang, et al.. (2023). Faecalibacterium prausnitzii Improves Lipid Metabolism Disorder and Insulin Resistance in Type 2 Diabetic Mice. British Journal of Biomedical Science. 80. 10794–10794. 22 indexed citations
8.
Arakawa, Satoko, Wenting Chen, Yuto Nakanishi, et al.. (2023). Beclin1 is essential for the pancreas development. Developmental Biology. 504. 113–119. 3 indexed citations
9.
Chen, Wenting, et al.. (2023). Reg family proteins contribute to inflammation and pancreatic stellate cells activation in chronic pancreatitis. Scientific Reports. 13(1). 12201–12201. 8 indexed citations
10.
Wang, Qingwei, et al.. (2023). Incremental feedforward collective pitch control method for wind turbines. Frontiers in Energy Research. 11.
11.
Bai, Que, Qian Gao, Fangfang Hu, et al.. (2023). Chitosan and hyaluronic-based hydrogels could promote the infected wound healing. International Journal of Biological Macromolecules. 232. 123271–123271. 82 indexed citations breakdown →
12.
Bai, Que, Caiyun Zheng, Na Sun, et al.. (2022). Oxygen-releasing hydrogels promote burn healing under hypoxic conditions. Acta Biomaterialia. 154. 231–243. 35 indexed citations
13.
14.
Xie, Xiaoxue, Caiping Chen, Wenting Chen, et al.. (2021). Structural Basis of VSIG3: The Ligand for VISTA. Frontiers in Immunology. 12. 625808–625808. 39 indexed citations
15.
Hu, Xinlei, et al.. (2021). M351‐0056 is a novel low MW compound modulating the actions of the immune‐checkpoint protein VISTA. British Journal of Pharmacology. 178(6). 1445–1458. 16 indexed citations
16.
Jiang, Jingwei, et al.. (2021). Identification of active small-molecule modulators targeting the novel immune checkpoint VISTA. BMC Immunology. 22(1). 55–55. 19 indexed citations
17.
Xie, Xiaoxue, Junying Zhang, Xinlei Hu, et al.. (2020). The Expression Pattern and Clinical Significance of the Immune Checkpoint Regulator VISTA in Human Breast Cancer. Frontiers in Immunology. 11. 563044–563044. 42 indexed citations
18.
Zhang, Nan, Junping Shi, Xiaoliang Shi, Wenting Chen, & Junfeng Liu. (2020). <p>Mutational Characterization and Potential Prognostic Biomarkers of Chinese Patients with Esophageal Squamous Cell Carcinoma</p>. OncoTargets and Therapy. Volume 13. 12797–12809. 28 indexed citations
19.
Chen, Wenting, et al.. (2019). [Value of MYC, BCL-2 and BCL-6 for Evaluation of Prognosis in Patients with Diffuse Large B Cell Lymphoma].. PubMed. 27(2). 452–457. 2 indexed citations
20.
Wong, Angela, Shing Mei Hwang, Kyung Johanson, et al.. (1998). Binding of [3H]-SK&F 107260 and [3H]-SB 214857 to Purified Integrin αIIbβ3: Evidence for a Common Binding Site for Cyclic Arginyl-Glycinyl-Aspartic Acid Peptides and Nonpeptides. Journal of Pharmacology and Experimental Therapeutics. 285(1). 228–235. 3 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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