Fang Nan

1.5k total citations · 2 hit papers
18 papers, 1.1k citations indexed

About

Fang Nan is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Fang Nan has authored 18 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Oncology. Recurrent topics in Fang Nan's work include T-cell and B-cell Immunology (3 papers), Enzyme Production and Characterization (3 papers) and Virus-based gene therapy research (2 papers). Fang Nan is often cited by papers focused on T-cell and B-cell Immunology (3 papers), Enzyme Production and Characterization (3 papers) and Virus-based gene therapy research (2 papers). Fang Nan collaborates with scholars based in China, United States and Japan. Fang Nan's co-authors include Ling‐Ling Chen, Li Yang, Chu‐Xiao Liu, Si-Kun Guo, Shan Jiang, Kaige Dong, Bo Qu, Huihua Ding, Xiang Li and Xiang Gao and has published in prestigious journals such as Cell, Nature Communications and Journal of Hazardous Materials.

In The Last Decade

Fang Nan

18 papers receiving 1.0k citations

Hit Papers

align trajectories

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.

Structure and Degradation of Circular RNAs Regulate PKR Activation in Innate Immunity

2019 605 citations Chu‐Xiao Liu, Xiang Li et al. Cell profile →
Excessive intake of sugar: An accomplice of inflammation

2022 148 citations Xiao Ma, Fang Nan et al. Frontiers in Immunology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fang Nan China	9	728	464	112	77	56	18	1.1k
Huan Lu China	20	707 1.0×	262 0.6×	125 1.1×	128 1.7×	13 0.2×	60	1.3k
Qinsi Yang China	17	583 0.8×	209 0.5×	74 0.7×	50 0.6×	53 0.9×	37	942
Ming Qin China	19	516 0.7×	96 0.2×	122 1.1×	96 1.2×	18 0.3×	49	1.1k
Reza Heidari Iran	17	478 0.7×	129 0.3×	37 0.3×	38 0.5×	23 0.4×	62	1.1k
Laleh Rafiee Iran	16	358 0.5×	167 0.4×	85 0.8×	45 0.6×	18 0.3×	46	739
Yingying Chen China	20	617 0.8×	103 0.2×	85 0.8×	49 0.6×	22 0.4×	85	1.2k
Yining Liu China	15	323 0.4×	125 0.3×	60 0.5×	73 0.9×	8 0.1×	67	893
Qiqi Li China	20	526 0.7×	374 0.8×	100 0.9×	55 0.7×	8 0.1×	63	1.0k
Qinggang Xu China	18	401 0.6×	156 0.3×	93 0.8×	76 1.0×	18 0.3×	58	861
Hao Qi China	18	484 0.7×	135 0.3×	101 0.9×	76 1.0×	15 0.3×	54	962

Countries citing papers authored by Fang Nan

Since Specialization

Citations

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

Fields of papers citing papers by Fang Nan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Nan

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Nan. A scholar is included among the top collaborators of Fang Nan 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 Fang Nan. Fang Nan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

18 of 18 papers shown

Cheng, Hao, Fang Nan, Ning Ji, et al.. (2025). Regulatory T cell therapy promotes TGF-β and IL-6-dependent pro-inflammatory Th17 cell generation by reducing IL-2. Nature Communications. 16(1). 7644–7644. 3 indexed citations

Nan, Fang, et al.. (2025). Insight into Adsorption Kinetics, Equilibrium, Thermodynamics, and Modeling of Ciprofloxacin onto Iron Ore Tailings. Water. 17(5). 760–760. 3 indexed citations

Song, Xiaoshuang, Hantian Liang, Fang Nan, et al.. (2025). Autoimmune Diseases: Molecular Pathogenesis and Therapeutic Targets. MedComm. 6(7). e70262–e70262. 3 indexed citations

Liang, Hantian, Xinzou Fan, Hao Cheng, et al.. (2024). CPT-11 mitigates autoimmune diseases by suppressing effector T cells without affecting long-term anti-tumor immunity. Cell Death Discovery. 10(1). 218–218. 1 indexed citations

Ma, Xiao, Fang Nan, Hantian Liang, et al.. (2022). Excessive intake of sugar: An accomplice of inflammation. Frontiers in Immunology. 13. 988481–988481. 148 indexed citations breakdown →

Nan, Fang, et al.. (2022). Mannose: A Sweet Option in the Treatment of Cancer and Inflammation. Frontiers in Pharmacology. 13. 877543–877543. 27 indexed citations

Tang, Mei, et al.. (2022). Role of Cytokines in Thymic Regulatory T Cell Generation: Overview and Updates. Frontiers in Immunology. 13. 883560–883560. 6 indexed citations

Nan, Fang, et al.. (2021). Toward broader applications of iron ore waste in pollution control: Adsorption of norfloxacin. Journal of Hazardous Materials. 418. 126273–126273. 53 indexed citations

Guo, Si-Kun, Fang Nan, Chu‐Xiao Liu, Li Yang, & Ling‐Ling Chen. (2021). Mapping circular RNA structures in living cells by SHAPE-MaP. Methods. 196. 47–55. 8 indexed citations

10.

Xu, Yuqin & Fang Nan. (2021). Multi objective optimal operation of integrated electricity-gas system considering emission of pollutant gas. 2021 IEEE 4th International Electrical and Energy Conference (CIEEC). 7. 1–6. 1 indexed citations

11.

Liu, Chu‐Xiao, Xiang Li, Fang Nan, et al.. (2019). Structure and Degradation of Circular RNAs Regulate PKR Activation in Innate Immunity. Cell. 177(4). 865–880.e21. 605 indexed citations breakdown →

12.

Fang, Xiaoling, Fang Nan, Hai‐Yan Qian, et al.. (2013). Melatonin ameliorates vascular endothelial dysfunction, inflammation, and atherosclerosis by suppressing the TLR4/NF‐κB system in high‐fat‐fed rabbits. Journal of Pineal Research. 55(4). 388–398. 106 indexed citations

13.

Zhong, Chuan‐Qi, Fang Nan, Xiaoliang Liang, et al.. (2009). Improvement of low‐temperature caseinolytic activity of a thermophilic subtilase by directed evolution and site‐directed mutagenesis. Biotechnology and Bioengineering. 104(5). 862–870. 31 indexed citations

14.

Zeng, Xiandong, Fang Nan, Changyong Liang, et al.. (2009). Functional analysis of the Autographa californica nucleopolyhedrovirus IAP1 and IAP2. Science in China Series C Life Sciences. 52(8). 761–770. 20 indexed citations

15.

Nan, Fang, Chuan‐Qi Zhong, Xiaoliang Liang, Xiaofeng Tang, & Bing Tang. (2009). Improvement of extracellular production of a thermophilic subtilase expressed in Escherichia coli by random mutagenesis of its N-terminal propeptide. Applied Microbiology and Biotechnology. 85(5). 1473–1481. 23 indexed citations

16.

Liang, Xiaoliang, et al.. (2006). The roles of surface loop insertions and disulfide bond in the stabilization of thermophilic WF146 protease. FEBS Letters. 580(25). 6007–6014. 19 indexed citations

17.

Nan, Fang. (2005). Least Element Problems of Feasible Sets for Vector F-Complementarity Problems with Pseudomonotonicity. Acta Mathematica Sinica English Series. 1 indexed citations

18.

Nan, Fang, et al.. (2005). AcMNPV P35 Inhibit Apoptosis Induced by HaSNPV in Tn-Hi5 Cell. Virologica Sinica. 20(2). 173–178. 3 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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