Qi Tan

1.2k total citations
44 papers, 817 citations indexed

About

Qi Tan is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Qi Tan has authored 44 papers receiving a total of 817 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 13 papers in Immunology and 9 papers in Oncology. Recurrent topics in Qi Tan's work include Extracellular vesicles in disease (11 papers), Nanoplatforms for cancer theranostics (5 papers) and Immune Cell Function and Interaction (5 papers). Qi Tan is often cited by papers focused on Extracellular vesicles in disease (11 papers), Nanoplatforms for cancer theranostics (5 papers) and Immune Cell Function and Interaction (5 papers). Qi Tan collaborates with scholars based in China, United States and Singapore. Qi Tan's co-authors include Yang Jin, Mengfei Guo, Siwei Song, Feng Wu, Enping Zhou, Juanjuan Xu, Sufei Wang, Kaimin Mao, Jiangbin Chen and Pei Ma and has published in prestigious journals such as PLoS ONE, Nature Nanotechnology and Clinical Infectious Diseases.

In The Last Decade

Qi Tan

42 papers receiving 808 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qi Tan China 17 396 189 149 128 122 44 817
Chuan Liu China 17 408 1.0× 171 0.9× 107 0.7× 79 0.6× 70 0.6× 59 905
Jie Huang China 15 265 0.7× 171 0.9× 108 0.7× 128 1.0× 163 1.3× 101 806
Jian Ding China 13 322 0.8× 145 0.8× 119 0.8× 187 1.5× 178 1.5× 32 819
Bin Luo China 16 406 1.0× 187 1.0× 100 0.7× 154 1.2× 111 0.9× 48 737
Carmen C. Diaconu Romania 21 616 1.6× 291 1.5× 207 1.4× 366 2.9× 219 1.8× 103 1.4k
Hui Xing China 19 536 1.4× 266 1.4× 116 0.8× 168 1.3× 39 0.3× 44 947
Nicole M. Anders United States 19 313 0.8× 73 0.4× 67 0.4× 127 1.0× 82 0.7× 43 876
Ming Shi China 17 543 1.4× 243 1.3× 343 2.3× 183 1.4× 65 0.5× 51 1.1k
Hui Qiu China 17 224 0.6× 122 0.6× 128 0.9× 295 2.3× 211 1.7× 74 845

Countries citing papers authored by Qi Tan

Since Specialization
Citations

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

Fields of papers citing papers by Qi Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Qi Tan. A scholar is included among the top collaborators of Qi Tan 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 Tan. Qi Tan 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.
Deng, Jiaqi, Qi Tan, Enping Zhou, et al.. (2025). Tumour-derived microparticles obtained through microwave irradiation induce immunogenic cell death in lung adenocarcinoma. Nature Nanotechnology. 20(8). 1119–1130. 4 indexed citations
2.
Chen, Jiangbin, Qi Tan, Wenjuan Chen, et al.. (2025). Dendritic Cell Derived‐Extracellular Vesicles Engineered to Express Interleukin‐12 and Anti‐CTLA‐4 on Their Surface for Combinational Cancer Immunotherapy. Journal of Extracellular Vesicles. 14(4). e70068–e70068. 4 indexed citations
3.
4.
Liu, Wanying, et al.. (2025). A pharmacovigilance analysis of post-marketing safety of durvalumab. Scientific Reports. 15(1). 16661–16661. 1 indexed citations
5.
6.
Teo, Yao Neng, Qi Tan, Vijay K. Sharma, et al.. (2024). Association of elevated lipoprotein(a) levels with ischemic stroke in young patients - a systematic review and meta-analysis. Journal of Stroke and Cerebrovascular Diseases. 33(11). 107960–107960. 3 indexed citations
7.
Tan, Qi, Chunli Wei, Hui Zou, et al.. (2023). Design, Synthesis, and Acute Toxicity Assays for Novel Thymoquinone Derivative TQFL12 in Mice and the Mechanism of Resistance to Toxicity. Molecules. 28(13). 5149–5149. 5 indexed citations
8.
Li, Ting, Na Luo, Jiewen Fu, et al.. (2023). Natural Product Cordycepin (CD) Inhibition for NRP1/CD304 Expression and Possibly SARS-CoV-2 Susceptibility Prevention on Cancers. Microorganisms. 11(12). 2953–2953. 6 indexed citations
9.
Dong, Xiaorong, Fan Tong, Yunyi Kong, et al.. (2023). EP13.07-09 The Role of Radiotherapy in Extensive-Stage Small Cell Lung Cancer after Durvalumab-Based Immunochemotherapy: A Retrospective Study. Journal of Thoracic Oncology. 18(11). S710–S710.
10.
Huang, Qi, Wenjing Xiao, Peng Chen, et al.. (2023). Nanopore membrane chip-based isolation method for metabolomic analysis of plasma small extracellular vesicles from COVID-19 survivors. Biosensors and Bioelectronics. 227. 115152–115152. 8 indexed citations
11.
Cheng, Jingliang, Jiewen Fu, Qi Tan, et al.. (2022). The regulation of ISG20 expression on SARS-CoV-2 infection in cancer patients and healthy individuals. Frontiers in Immunology. 13. 958898–958898. 6 indexed citations
12.
Chen, Jiangbin, et al.. (2022). Engineered extracellular vesicles: potentials in cancer combination therapy. Journal of Nanobiotechnology. 20(1). 132–132. 56 indexed citations
13.
Mao, Kaimin, Qi Tan, Yanling Ma, et al.. (2021). Proteomics of extracellular vesicles in plasma reveals the characteristics and residual traces of COVID-19 patients without underlying diseases after 3 months of recovery. Cell Death and Disease. 12(6). 541–541. 31 indexed citations
14.
Tan, Qi, Limin Duan, Yanling Ma, et al.. (2020). Is oseltamivir suitable for fighting against COVID-19: In silico assessment, in vitro and retrospective study. Bioorganic Chemistry. 104. 104257–104257. 66 indexed citations
15.
Wang, Sufei, Pei Ma, Zhilei Lv, et al.. (2019). Value of serum tumor markers for predicting EGFR mutations and positive ALK expression in 1089 Chinese non-small-cell lung cancer patients: A retrospective analysis. European Journal of Cancer. 124. 1–14. 36 indexed citations
16.
Tan, Qi, Qi Huang, Ling Yan, et al.. (2018). Potential roles of IL-1 subfamily members in glycolysis in disease. Cytokine & Growth Factor Reviews. 44. 18–27. 34 indexed citations
17.
Ndhlovu, Lishomwa C., Elizabeth Sinclair, Lorrie Epling, et al.. (2010). IL-2 Immunotherapy to Recently HIV-1 Infected Adults Maintains the Numbers of IL-17 Expressing CD4+ T (TH17) Cells in the Periphery. Journal of Clinical Immunology. 30(5). 681–692. 8 indexed citations
18.
Hartigan-O’Connor, Dennis J., Mark Z. Jacobson, Qi Tan, & Elizabeth Sinclair. (2010). Development of Cytomegalovirus (CMV) Immune Recovery Uveitis Is Associated with Th17 Cell Depletion and Poor Systemic CMV-Specific T Cell Responses. Clinical Infectious Diseases. 52(3). 409–417. 19 indexed citations
19.
Barbour, Jason D., Lishomwa C. Ndhlovu, Qi Tan, et al.. (2009). High CD8+ T Cell Activation Marks a Less Differentiated HIV-1 Specific CD8+ T Cell Response that Is Not Altered by Suppression of Viral Replication. PLoS ONE. 4(2). e4408–e4408. 22 indexed citations
20.
Owen, Rachel E., Elizabeth Sinclair, Brinda Emu, et al.. (2007). Loss of T cell responses following long-term cryopreservation. Journal of Immunological Methods. 326(1-2). 93–115. 75 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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