Fangmin Chen

2.5k total citations · 1 hit paper
80 papers, 1.9k citations indexed

About

Fangmin Chen is a scholar working on Biomedical Engineering, Immunology and Molecular Biology. According to data from OpenAlex, Fangmin Chen has authored 80 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Biomedical Engineering, 19 papers in Immunology and 18 papers in Molecular Biology. Recurrent topics in Fangmin Chen's work include Nanoplatforms for cancer theranostics (15 papers), Immunotherapy and Immune Responses (11 papers) and Cancer Immunotherapy and Biomarkers (7 papers). Fangmin Chen is often cited by papers focused on Nanoplatforms for cancer theranostics (15 papers), Immunotherapy and Immune Responses (11 papers) and Cancer Immunotherapy and Biomarkers (7 papers). Fangmin Chen collaborates with scholars based in China, United States and New Zealand. Fangmin Chen's co-authors include Haijun Yu, Xinyao Yang, Yuesuo Yang, Yan Yuan, Xiang Li, Yong Huang, Ying Zhao, Tianliang Li, Madiha Saeed and Weiqi Wang and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Journal of Biological Chemistry.

In The Last Decade

Fangmin Chen

76 papers receiving 1.9k citations

Hit Papers

Residual Local Feature Network for Efficient Super-Resolu... 2022 2026 2023 2024 2022 40 80 120
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. Residual Local Feature Network for Efficient Super-Resolution
    2022 139 citations Fangmin Chen, Lean Fu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fangmin Chen China 24 513 490 486 341 283 80 1.9k
Jianhong Shi China 26 642 1.3× 210 0.4× 799 1.6× 283 0.8× 398 1.4× 98 2.3k
Min Kim South Korea 30 1.2k 2.3× 478 1.0× 63 0.1× 142 0.4× 57 0.2× 98 2.7k
Xiaozhen Chen China 25 512 1.0× 302 0.6× 106 0.2× 113 0.3× 54 0.2× 104 1.9k
Zheng Liu China 30 1.2k 2.3× 279 0.6× 170 0.3× 106 0.3× 74 0.3× 144 2.6k
Ziwei Han China 22 943 1.8× 542 1.1× 263 0.5× 58 0.2× 102 0.4× 74 1.9k
Fei Chen China 34 931 1.8× 196 0.4× 410 0.8× 56 0.2× 31 0.1× 115 3.4k
Ewe Seng Ch’ng Malaysia 22 635 1.2× 330 0.7× 81 0.2× 498 1.5× 94 0.3× 70 1.9k
Chao Yan China 26 844 1.6× 326 0.7× 71 0.1× 167 0.5× 57 0.2× 76 2.0k
Cong Li China 28 1.8k 3.6× 313 0.6× 99 0.2× 258 0.8× 66 0.2× 89 3.2k
Amit K. Yadav India 25 712 1.4× 574 1.2× 90 0.2× 62 0.2× 33 0.1× 88 1.8k

Countries citing papers authored by Fangmin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Fangmin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangmin Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Fangmin Chen. A scholar is included among the top collaborators of Fangmin 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 Fangmin Chen. Fangmin 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, Fangmin, Huijuan Zhang, Shuang Li, et al.. (2025). Polypeptide sono-adjuvant for ultrasound-activatable regulation of innate immunity and cancer vaccination therapy. Nature Communications. 17(1). 272–272.
2.
Zhang, Huijuan, Fangmin Chen, Wenhao Cheng, et al.. (2024). Dynamic polyphenol nanoparticles boost cuproptosis-driven metalloimmunotherapy of breast cancer. Nano Today. 58. 102442–102442. 9 indexed citations
3.
Chen, Fangmin, Lihui Zhang, & Feng Duan. (2024). Degradative solvent-catalyzed extraction of sewage sludge. Bioresource Technology. 411. 131322–131322. 4 indexed citations
4.
5.
Liu, Shuanghui, Fangmin Chen, Feng Duan, & Lihui Zhang. (2024). Study on interaction mechanism of steam coupling biomass sludge gasification to syngas with pickling sludge as oxygen carrier. Journal of the Energy Institute. 117. 101810–101810. 4 indexed citations
6.
Chen, Fangmin & Haijun Yu. (2023). The advancement of metalloadjuvant for cancer immunotherapy. Science Bulletin. 68(8). 756–758. 9 indexed citations
7.
Chen, Fangmin, et al.. (2023). Unfolding Once is Enough: A Deployment-Friendly Transformer Unit for Super-Resolution. 7952–7960. 4 indexed citations
8.
Chang, Fan, et al.. (2023). A novel coagulation-related lncRNA predicts the prognosis and immune of clear cell renal cell carcinoma. Scientific Reports. 13(1). 16302–16302. 1 indexed citations
9.
Lai, Yi, Jiayi Ye, Madiha Saeed, et al.. (2022). Dual-targeting prodrug nanotheranostics for NIR-Ⅱ fluorescence imaging-guided photo-immunotherapy of glioblastoma. Acta Pharmaceutica Sinica B. 12(9). 3486–3497. 26 indexed citations
10.
Chen, Fangmin, Yingjie Wang, Jing Gao, et al.. (2021). Nanobiomaterial-based vaccination immunotherapy of cancer. Biomaterials. 270. 120709–120709. 131 indexed citations
11.
Zhou, Mengjiao, Xiao Liu, Fangmin Chen, et al.. (2021). Stimuli-activatable nanomaterials for phototherapy of cancer. Biomedical Materials. 16(4). 42008–42008. 21 indexed citations
12.
Shao, Jingwei, Yifan Fang, Ruirui Zhao, et al.. (2020). Evolution from small molecule to nano-drug delivery systems: An emerging approach for cancer therapy of ursolic acid. Asian Journal of Pharmaceutical Sciences. 15(6). 685–700. 48 indexed citations
13.
Chen, Fangmin, Yifan Fang, Xiang Chen, et al.. (2020). Recent advances of sorafenib nanoformulations for cancer therapy: Smart nanosystem and combination therapy. Asian Journal of Pharmaceutical Sciences. 16(3). 318–336. 28 indexed citations
14.
Ma, Zhen, Song Li, Fangmin Chen, et al.. (2020). The preliminary experience of methylene blue assisted laparoscopy in the treatment of renal parapelvic cysts. Scientific Reports. 10(1). 18757–18757. 2 indexed citations
15.
Shen, Jun, et al.. (2016). Therapy and Prevention of Postoperative Urosepsis of Ureter Endoscopic Lithotripsy for “Non-infection”. Chinese Medical Sciences Journal. 31(1). 49–53.
16.
Xu, Lin, Fei Huang, Peixun Zhang, et al.. (2015). Dorsal root ganglion neurons promote proliferation and osteogenic differentiation of bone marrow mesenchymal stem cells. SHILAP Revista de lepidopterología. 10(1). 119–119. 13 indexed citations
17.
18.
Wen, Huaguo, et al.. (2011). Diagenesis Characteristics and System for Dolostone in Feixianguan Formation of Northeast Sichuan. Earth Science(Journal of China University of Geosciences). 36(4). 659–669. 7 indexed citations
19.
Chen, Fangmin. (2010). Land use change of rapidly urbanized small-and medium-sized coastal cities in China:Taking Cixi City of Zhejiang Province as an example.. Shengtaixue zazhi. 1 indexed citations
20.
Chen, Fangmin, et al.. (2007). Gaining regeneration plantlets from embryoids in leaf tissue culture of Oryza alta L.. Shanghai nongye xuebao. 1 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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