Qi Zhang

9.5k total citations · 1 hit paper
371 papers, 6.5k citations indexed

About

Qi Zhang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Qi Zhang has authored 371 papers receiving a total of 6.5k indexed citations (citations by other indexed papers that have themselves been cited), including 125 papers in Molecular Biology, 88 papers in Pulmonary and Respiratory Medicine and 63 papers in Oncology. Recurrent topics in Qi Zhang's work include Immune cells in cancer (39 papers), Immune Cell Function and Interaction (20 papers) and Cancer, Hypoxia, and Metabolism (18 papers). Qi Zhang is often cited by papers focused on Immune cells in cancer (39 papers), Immune Cell Function and Interaction (20 papers) and Cancer, Hypoxia, and Metabolism (18 papers). Qi Zhang collaborates with scholars based in China, United States and Canada. Qi Zhang's co-authors include Tingbo Liang, Nan Hu, Xueli Bai, Yongsheng Li, Jia Lv, Yingze Zhang, Dahong Zhang, Yuelong Zhang, Jaro Sodek and Yu Lou and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Qi Zhang

337 papers receiving 6.4k citations

Hit Papers

Roles of macrophages on ulcerative colitis and colitis-as... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qi Zhang China 42 2.7k 1.2k 1.0k 979 969 371 6.5k
Xiang Cheng China 46 2.5k 0.9× 1.0k 0.9× 2.1k 2.1× 764 0.8× 623 0.6× 226 6.6k
Liang Tang China 39 2.5k 0.9× 1.3k 1.1× 557 0.6× 887 0.9× 410 0.4× 220 6.0k
Shi Chen China 39 2.4k 0.9× 1.0k 0.9× 462 0.5× 1.1k 1.1× 920 0.9× 291 6.0k
Qiong Huang China 48 3.9k 1.5× 1.7k 1.5× 794 0.8× 1.1k 1.1× 835 0.9× 323 8.6k
Chao Li China 46 3.6k 1.3× 1.8k 1.5× 593 0.6× 1.2k 1.2× 1.5k 1.5× 459 9.4k
Ling Liu China 45 3.1k 1.2× 1000 0.8× 1.4k 1.4× 697 0.7× 620 0.6× 415 8.4k
Song Chen China 43 2.7k 1.0× 841 0.7× 572 0.6× 698 0.7× 802 0.8× 329 7.5k
Xiang Chen China 40 2.4k 0.9× 1.0k 0.8× 659 0.7× 947 1.0× 1.3k 1.3× 276 6.3k
He Wang China 47 3.9k 1.5× 1.5k 1.2× 797 0.8× 1.1k 1.1× 717 0.7× 313 8.4k
Jing Hua China 46 2.7k 1.0× 569 0.5× 1.4k 1.4× 780 0.8× 673 0.7× 215 7.3k

Countries citing papers authored by Qi Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Qi Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Qi Zhang. A scholar is included among the top collaborators of Qi Zhang 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 Qi Zhang. Qi Zhang 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, Yi, Lijun Zhang, Qi Zhang, et al.. (2025). HSPB1 suppresses oxLDL-induced vascular smooth muscle cell ferroptosis by inhibiting DPP4. Archives of Biochemistry and Biophysics. 768. 110400–110400. 1 indexed citations
4.
Xun, Jing, Xiaolin Jiang, Zhibo Hu, et al.. (2024). Neogambogic acid enhances anti-PD-1 immunotherapy efficacy by attenuating suppressive function of MDSCs in pancreatic cancer. International Immunopharmacology. 139. 112696–112696.
5.
Fu, Sha, Zhiguang Chang, Yan Xiao, et al.. (2024). Progression and perspectives in disease modeling for Juvenile myelomonocytic leukemia. Medical Oncology. 42(1). 25–25. 1 indexed citations
6.
Tang, Xiaoqian, Cheng Yang, Jun Jiang, et al.. (2023). Current trends in biosensors for biotoxins (mycotoxins, marine toxins, and bacterial food toxins):principles, application, and perspective. TrAC Trends in Analytical Chemistry. 165. 117144–117144. 64 indexed citations
7.
Sun, Wentao, Bo Li, Hang Qu, et al.. (2023). Mechanistic insights into nitrogen-induced changes in pasting characteristics of rice during storage based on proteomics analysis. Food Chemistry X. 20. 101018–101018. 3 indexed citations
8.
Wang, Jie, Jin Zhang, Qiao Wang, et al.. (2023). A heterophil/lymphocyte-selected population reveals the phosphatase PTPRJ is associated with immune defense in chickens. Communications Biology. 6(1). 196–196. 11 indexed citations
9.
Kaneko, Tomonori, Peter YF. Zeng, Xuguang Liu, et al.. (2022). Proteome and phosphoproteome signatures of recurrence for HPV+ head and neck squamous cell carcinoma. SHILAP Revista de lepidopterología. 2(1). 95–95. 8 indexed citations
10.
Zhang, Qi, Jinxia Guo, Han Ouyang, et al.. (2021). Added-value of dynamic contrast-enhanced MRI on prediction of tumor recurrence in locally advanced cervical cancer treated with chemoradiotherapy. European Radiology. 32(4). 2529–2539. 6 indexed citations
11.
Wang, Xiyi, Qi Zhang, Jing Shao, & Zhihong Ye. (2020). Conceptualisation and measurement of adaptation within the Roy adaptation model in chronic care: a scoping review protocol. BMJ Open. 10(6). e036546–e036546. 9 indexed citations
12.
Lv, Jia, et al.. (2020). Mining TCGA database for tumor mutation burden and their clinical significance in bladder cancer. Bioscience Reports. 40(4). 78 indexed citations
13.
Wu, Lei, Xiao Zhang, Lu Zheng, et al.. (2020). RIPK3 Orchestrates Fatty Acid Metabolism in Tumor-Associated Macrophages and Hepatocarcinogenesis. Cancer Immunology Research. 8(5). 710–721. 200 indexed citations
14.
Zhang, Qi, et al.. (2019). Radiotherapy for recurrent central Giant cell granuloma: a case report. Radiation Oncology. 14(1). 130–130. 6 indexed citations
15.
Yan, Guifang, Huakan Zhao, Qi Zhang, et al.. (2018). A RIPK3-PGE2 Circuit Mediates Myeloid-Derived Suppressor Cell–Potentiated Colorectal Carcinogenesis. Cancer Research. 78(19). 5586–5599. 101 indexed citations
16.
Lü, Jian, Jin‐He Guo, Hai‐Dong Zhu, et al.. (2017). Palliative treatment with radiation-emitting metallic stents in unresectable Bismuth type III or IV hilar cholangiocarcinoma. ESMO Open. 2(4). e000242–e000242. 11 indexed citations
17.
Zhang, Qi, Masayuki Fujino, Jinhua Xu, & Xiao‐Kang Li. (2015). The Role and Potential Therapeutic Application of Myeloid‐Derived Suppressor Cells in Allo‐ and Autoimmunity. Mediators of Inflammation. 2015(1). 421927–421927. 17 indexed citations
18.
Wang, Shuai, et al.. (2014). A Meta-Analysis of Coffee Intake and Risk of Urolithiasis. Urologia Internationalis. 93(2). 220–228. 24 indexed citations
19.
Wang, Ling, Kun Tang, Qi Zhang, et al.. (2013). Somatostatin Receptor-Based Molecular Imaging and Therapy for Neuroendocrine Tumors. BioMed Research International. 2013. 1–11. 41 indexed citations
20.
Zheng, Jiayin, Jun Zhang, Wenyuan Wang, et al.. (2013). Comparison of Dexmedetomidine and Propofol for Conscious Sedation in Awake Craniotomy. Annals of Pharmacotherapy. 47(11). 1391–1399. 37 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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