Jiawen Qian

1.6k total citations
32 papers, 814 citations indexed

About

Jiawen Qian is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Jiawen Qian has authored 32 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 10 papers in Oncology and 6 papers in Molecular Biology. Recurrent topics in Jiawen Qian's work include Immune Cell Function and Interaction (6 papers), Extracellular vesicles in disease (4 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Jiawen Qian is often cited by papers focused on Immune Cell Function and Interaction (6 papers), Extracellular vesicles in disease (4 papers) and Cancer Immunotherapy and Biomarkers (4 papers). Jiawen Qian collaborates with scholars based in China, France and Singapore. Jiawen Qian's co-authors include Yiwei Chu, Feifei Luo, Jiao Yang, Yuedi Wang, Ronghua Liu, Yuting Deng, Bo Wang, Florent Ginhoux, Junying Xu and Chujun Zhao and has published in prestigious journals such as Immunity, Nature Immunology and Hepatology.

In The Last Decade

Jiawen Qian

30 papers receiving 806 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiawen Qian China 13 424 305 250 156 156 32 814
Matteo Massara Italy 13 511 1.2× 489 1.6× 227 0.9× 98 0.6× 96 0.6× 23 923
Nivedita M. Ratnam United States 7 304 0.7× 280 0.9× 188 0.8× 172 1.1× 79 0.5× 8 714
Valeria Mollica Poeta Italy 6 391 0.9× 395 1.3× 243 1.0× 78 0.5× 84 0.5× 7 755
Weiqi Dang China 12 282 0.7× 223 0.7× 318 1.3× 96 0.6× 202 1.3× 16 719
Stacy A. Decker United States 9 377 0.9× 293 1.0× 191 0.8× 164 1.1× 83 0.5× 10 766
Irina V. Balyasnikova United States 6 422 1.0× 401 1.3× 172 0.7× 308 2.0× 69 0.4× 7 767
Hikmat Assi United States 12 367 0.9× 251 0.8× 294 1.2× 136 0.9× 69 0.4× 17 763
Yuedi Wang China 8 300 0.7× 280 0.9× 196 0.8× 91 0.6× 83 0.5× 10 573
Davide Mangani United States 11 295 0.7× 247 0.8× 200 0.8× 84 0.5× 126 0.8× 19 625
Peidong Liu China 15 179 0.4× 135 0.4× 275 1.1× 112 0.7× 166 1.1× 37 685

Countries citing papers authored by Jiawen Qian

Since Specialization
Citations

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

Fields of papers citing papers by Jiawen Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiawen Qian

This figure shows the co-authorship network connecting the top 25 collaborators of Jiawen Qian. A scholar is included among the top collaborators of Jiawen Qian 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 Jiawen Qian. Jiawen Qian 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.
Li, Ziyi, Shuangyan Zhang, Wan Ting Kong, et al.. (2025). Transcription factors TCF4 and KLF4 respectively control the development of the DC2A and DC2B lineages. Nature Immunology. 26(8). 1275–1286. 5 indexed citations
2.
Wu, Jian, et al.. (2025). Influencing factors and predictive model of the early postoperative recurrence of colorectal cancer with obstruction. World Journal of Gastrointestinal Surgery. 17(10). 110695–110695.
3.
Wu, Ziyang, et al.. (2024). A review of Aconiti Lateralis Radix Praeparata (Fuzi) for kidney disease: phytochemistry, toxicology, herbal processing, and pharmacology. Frontiers in Pharmacology. 15. 1427333–1427333. 2 indexed citations
5.
Silvin, Aymeric, Jiawen Qian, & Florent Ginhoux. (2023). Brain macrophage development, diversity and dysregulation in health and disease. Cellular and Molecular Immunology. 20(11). 1277–1289. 60 indexed citations
6.
Ji, Jie, Xuebing Xu, Dandan Jin, et al.. (2023). Known and unknown: Exosome secretion in tumor microenvironment needs more exploration. Genes & Diseases. 12(1). 101175–101175. 6 indexed citations
7.
Xia, Jie, Zhiqiang Wang, Shengli Lin, et al.. (2023). Exosomal lncRNA HOTAIR induces PDL1+ B cells to impede anti-tumor immunity in colorectal cancer. Biochemical and Biophysical Research Communications. 644. 112–121. 31 indexed citations
8.
Qian, Jiawen, Sijie Wang, Yanni Li, et al.. (2022). Relationship Between Dietary Fiber and Vitamin C Intake and Oral Cancer. Frontiers in Public Health. 10. 880506–880506. 5 indexed citations
9.
Qiu, Yu, Qing Chen, Sijie Wang, et al.. (2022). Association Between Dietary Fatty Acid Pattern and Risk of Oral Cancer. Frontiers in Nutrition. 9. 864098–864098. 7 indexed citations
10.
Li, Yanfen, Lin Chen, Jiawen Qian, et al.. (2021). A novel prognostic score based on systemic inflammatory biomarkers for patients with oral squamous cell carcinoma. Oral Diseases. 28(3). 631–638. 15 indexed citations
11.
Chen, Lin, Jiawen Qian, Lisong Lin, et al.. (2020). Prognostic value of preoperative lymphocyte‐to‐monocyte ratio in oral cancer patients and establishment of a dynamic nomogram. Oral Diseases. 27(5). 1127–1136. 12 indexed citations
12.
Bao, Xiaodan, Lingjun Yan, Jing Lin, et al.. (2020). Selenoprotein genetic variants may modify the association between serum selenium and oral cancer risk. Oral Diseases. 26(6). 1141–1148. 4 indexed citations
13.
Lin, Jing, Lin Chen, Qing Chen, et al.. (2020). Prognostic value of preoperative systemic inflammation response index in patients with oral squamous cell carcinoma: Propensity score‐based analysis. Head & Neck. 42(11). 3263–3274. 14 indexed citations
14.
Deng, Yuting, Jiao Yang, Jiawen Qian, et al.. (2019). TLR1/TLR2 signaling blocks the suppression of monocytic myeloid-derived suppressor cell by promoting its differentiation into M1-type macrophage. Molecular Immunology. 112. 266–273. 39 indexed citations
15.
Qian, Jiawen, et al.. (2019). Identification and immunological evaluation of novel TLR2 agonists through structure optimization of Pam3CSK4. Bioorganic & Medicinal Chemistry. 27(13). 2784–2800. 12 indexed citations
16.
Qian, Jiawen, Feifei Luo, Jiao Yang, et al.. (2018). TLR2 Promotes Glioma Immune Evasion by Downregulating MHC Class II Molecules in Microglia. Cancer Immunology Research. 6(10). 1220–1233. 83 indexed citations
17.
Qian, Jiawen, Chen Wang, Bo Wang, et al.. (2018). The IFN-γ/PD-L1 axis between T cells and tumor microenvironment: hints for glioma anti-PD-1/PD-L1 therapy. Journal of Neuroinflammation. 15(1). 290–290. 207 indexed citations
18.
Yao, Yu, Feifei Luo, Chao Tang, et al.. (2018). Molecular subgroups and B7-H4 expression levels predict responses to dendritic cell vaccines in glioblastoma: an exploratory randomized phase II clinical trial. Cancer Immunology Immunotherapy. 67(11). 1777–1788. 90 indexed citations
19.
Liu, Ronghua, Feifei Luo, Xiaoming Liu, et al.. (2016). Biological Response Modifier in Cancer Immunotherapy. Advances in experimental medicine and biology. 909. 69–138. 8 indexed citations
20.
Zhang, Yufei, Feifei Luo, Anning Li, et al.. (2014). Systemic injection of TLR1/2 agonist improves adoptive antigen-specific T cell therapy in glioma-bearing mice. Clinical Immunology. 154(1). 26–36. 26 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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