Jianfei Qian

6.6k total citations · 3 hit papers
75 papers, 5.0k citations indexed

About

Jianfei Qian is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Jianfei Qian has authored 75 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Immunology, 32 papers in Molecular Biology and 29 papers in Oncology. Recurrent topics in Jianfei Qian's work include Immunotherapy and Immune Responses (33 papers), Multiple Myeloma Research and Treatments (23 papers) and T-cell and B-cell Immunology (17 papers). Jianfei Qian is often cited by papers focused on Immunotherapy and Immune Responses (33 papers), Multiple Myeloma Research and Treatments (23 papers) and T-cell and B-cell Immunology (17 papers). Jianfei Qian collaborates with scholars based in United States, China and Australia. Jianfei Qian's co-authors include Qing Yi, Enguang Bi, Xingzhe Ma, Maojie Yang, Jing Yang, Lintao Liu, Yuhuan Zheng, Qiang Wang, Yong Lu and Sungyoul Hong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Jianfei Qian

72 papers receiving 5.0k citations

Hit Papers

Cholesterol Induces CD8+ T Cell Exhaustion in the Tumor M... 2019 2026 2021 2023 2019 2021 2020 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianfei Qian United States 37 2.5k 2.0k 1.9k 1.2k 694 75 5.0k
Yulia Nefedova United States 29 3.9k 1.5× 1.9k 1.0× 2.2k 1.2× 557 0.5× 558 0.8× 53 5.7k
Sorena Nadaf United States 20 3.7k 1.4× 2.7k 1.4× 3.2k 1.7× 884 0.7× 208 0.3× 26 6.5k
Ian Kasman United States 20 2.1k 0.8× 2.5k 1.3× 1.5k 0.8× 1.0k 0.9× 175 0.3× 26 5.3k
Anjali Mishra United States 26 1.4k 0.6× 966 0.5× 1.7k 0.9× 473 0.4× 491 0.7× 98 3.5k
Maria Vincenza Carriero Italy 34 951 0.4× 1.5k 0.8× 1.3k 0.7× 1.4k 1.1× 402 0.6× 76 3.8k
Masayuki Miyake Japan 41 962 0.4× 2.2k 1.1× 1.8k 1.0× 676 0.6× 483 0.7× 79 4.4k
Hidayatullah G. Munshi United States 45 803 0.3× 2.3k 1.2× 2.5k 1.4× 1.1k 0.9× 302 0.4× 106 4.8k
Lukas J.A.C. Hawinkels Netherlands 31 1.6k 0.6× 1.9k 0.9× 2.1k 1.1× 895 0.7× 129 0.2× 99 4.8k
Colette Adida France 21 1.0k 0.4× 3.6k 1.8× 1.8k 1.0× 750 0.6× 411 0.6× 24 5.2k
Stefania Bellone United States 41 1.4k 0.5× 1.8k 0.9× 2.4k 1.3× 761 0.6× 141 0.2× 155 5.4k

Countries citing papers authored by Jianfei Qian

Since Specialization
Citations

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

Fields of papers citing papers by Jianfei Qian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianfei Qian

This figure shows the co-authorship network connecting the top 25 collaborators of Jianfei Qian. A scholar is included among the top collaborators of Jianfei 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 Jianfei Qian. Jianfei 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.
Zhang, Chuanchao, Qiang Wang, Pan Su, et al.. (2025). NPC1 as a novel therapeutic target for induction of pyroptosis in cancers. Biomarker Research. 13(1). 115–115.
2.
Xian, Miao, Qiang Wang, Liuling Xiao, et al.. (2024). Leukocyte immunoglobulin-like receptor B1 (LILRB1) protects human multiple myeloma cells from ferroptosis by maintaining cholesterol homeostasis. Nature Communications. 15(1). 5767–5767. 15 indexed citations
3.
Wang, Qiang, Zhijuan Lin, Zhuo Wang, et al.. (2021). RARγ activation sensitizes human myeloma cells to carfilzomib treatment through the OAS-RNase L innate immune pathway. Blood. 139(1). 59–72. 16 indexed citations
4.
Su, Pan, Qiang Wang, Enguang Bi, et al.. (2020). Enhanced Lipid Accumulation and Metabolism Are Required for the Differentiation and Activation of Tumor-Associated Macrophages. Cancer Research. 80(7). 1438–1450. 360 indexed citations breakdown →
5.
Ma, Xingzhe, Enguang Bi, Yong Lu, et al.. (2019). Cholesterol Induces CD8+ T Cell Exhaustion in the Tumor Microenvironment. Cell Metabolism. 30(1). 143–156.e5. 697 indexed citations breakdown →
6.
Ma, Xingzhe, Enguang Bi, Chunjian Huang, et al.. (2018). Cholesterol negatively regulates IL-9–producing CD8+ T cell differentiation and antitumor activity. The Journal of Experimental Medicine. 215(6). 1555–1569. 118 indexed citations
7.
Lu, Yong, Qiang Wang, Gang Xue, et al.. (2018). Th9 Cells Represent a Unique Subset of CD4+ T Cells Endowed with the Ability to Eradicate Advanced Tumors. Cancer Cell. 33(6). 1048–1060.e7. 121 indexed citations
8.
Hong, Bangxing, Haiyan Li, Yong Lu, et al.. (2014). USP18 is crucial for IFN-γ-mediated inhibition of B16 melanoma tumorigenesis and antitumor immunity. Molecular Cancer. 13(1). 132–132. 37 indexed citations
9.
Zheng, Yuhuan, Qiang Wang, Jianfei Qian, et al.. (2014). Macrophage Migration Inhibitory Factor Regulates Multiple Myeloma Bone Marrow Homing. Blood. 124(21). 2015–2015. 1 indexed citations
10.
Li, Rong, Jianfei Qian, Wenhao Zhang, et al.. (2014). Human heat shock protein-specific cytotoxic T lymphocytes display potent antitumour immunity in multiple myeloma. British Journal of Haematology. 166(5). 690–701. 29 indexed citations
11.
Liu, Zhiqiang, Jingda Xu, Jin He, et al.. (2014). A critical role of autocrine sonic hedgehog signaling in human CD138+ myeloma cell survival and drug resistance. Blood. 124(13). 2061–2071. 80 indexed citations
12.
Zhang, Liang, Lan V. Pham, Kate J. Newberry, et al.. (2013). In Vitro and In Vivo Therapeutic Efficacy of Carfilzomib in Mantle Cell Lymphoma: Targeting the Immunoproteasome. Molecular Cancer Therapeutics. 12(11). 2494–2504. 22 indexed citations
13.
He, Jin, Zhiqiang Liu, Yuhuan Zheng, et al.. (2012). p38 MAPK in Myeloma Cells Regulates Osteoclast and Osteoblast Activity and Induces Bone Destruction. Cancer Research. 72(24). 6393–6402. 69 indexed citations
14.
Zhang, Liang, Jing Yang, Jianfei Qian, et al.. (2012). Role of the microenvironment in mantle cell lymphoma: IL-6 is an important survival factor for the tumor cells. Blood. 120(18). 3783–3792. 88 indexed citations
15.
Qian, Jianfei & Qing Yi. (2012). DKK1 as a novel target for myeloma immunotherapy. OncoImmunology. 1(5). 756–758. 9 indexed citations
16.
Zheng, Yuhuan, Jing Yang, Jianfei Qian, et al.. (2011). P/E Selectins and Their Ligand PSGL-1 Are Crucial for Macrophage-Mediated Multiple Myeloma Chemoresistance. Blood. 118(21). 130–130. 2 indexed citations
18.
Yang, Jing, Michele Wezeman, Xiang Zhang, et al.. (2007). Human C-Reactive Protein Binds Activating Fcγ Receptors and Protects Myeloma Tumor Cells from Apoptosis. Cancer Cell. 12(3). 252–265. 97 indexed citations
19.
Yang, Jing, Jianfei Qian, Michele Wezeman, et al.. (2006). Targeting β2-microglobulin for induction of tumor apoptosis in human hematological malignancies. Cancer Cell. 10(4). 295–307. 81 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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