Gang Nan

2.7k total citations · 1 hit paper
26 papers, 753 citations indexed

About

Gang Nan is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Gang Nan has authored 26 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Immunology and 5 papers in Oncology. Recurrent topics in Gang Nan's work include Signaling Pathways in Disease (10 papers), Galectins and Cancer Biology (4 papers) and Cell Adhesion Molecules Research (3 papers). Gang Nan is often cited by papers focused on Signaling Pathways in Disease (10 papers), Galectins and Cancer Biology (4 papers) and Cell Adhesion Molecules Research (3 papers). Gang Nan collaborates with scholars based in China, Netherlands and United States. Gang Nan's co-authors include Zhi‐Nan Chen, Huijie Bian, Jiao Wu, Ruo Chen, Jian‐Li Jiang, Zhuan Feng, Wei Ding, Jiejie Geng, Xiuxuan Sun and Fei Feng and has published in prestigious journals such as Nature Communications, Blood and PLoS ONE.

In The Last Decade

Gang Nan

25 papers receiving 743 citations

Hit Papers

TNF antagonist sensitizes synovial fibroblasts to ferropt... 2022 2026 2023 2024 2022 50 100 150
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. TNF antagonist sensitizes synovial fibroblasts to ferroptotic cell death in collagen-induced arthritis mouse models
    2022 190 citations Jiao Wu, Zhuan Feng et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gang Nan China 16 432 182 180 148 144 26 753
Yoshihiro Nishida Japan 16 384 0.9× 226 1.2× 110 0.6× 96 0.6× 66 0.5× 59 789
Yang Guo China 16 350 0.8× 106 0.6× 105 0.6× 137 0.9× 83 0.6× 36 666
Guang Wu China 20 540 1.3× 192 1.1× 273 1.5× 239 1.6× 90 0.6× 48 927
Xing Gu China 17 621 1.4× 187 1.0× 203 1.1× 174 1.2× 62 0.4× 60 1.0k
Shiran Shapira Israel 15 306 0.7× 211 1.2× 110 0.6× 205 1.4× 63 0.4× 63 770
Ângela M. Costa Portugal 14 433 1.0× 206 1.1× 134 0.7× 347 2.3× 127 0.9× 26 1.0k
Jinbo Gao China 19 588 1.4× 89 0.5× 292 1.6× 257 1.7× 201 1.4× 66 1.1k
Ji Hye Shin South Korea 13 523 1.2× 75 0.4× 195 1.1× 152 1.0× 190 1.3× 28 766
Mee‐Young Ahn South Korea 18 565 1.3× 110 0.6× 95 0.5× 116 0.8× 85 0.6× 28 844

Countries citing papers authored by Gang Nan

Since Specialization
Citations

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

Fields of papers citing papers by Gang Nan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Nan

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Nan. A scholar is included among the top collaborators of Gang 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 Gang Nan. Gang Nan 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.
2.
Nan, Gang, et al.. (2025). The Prognostic Value of Systemic Inflammation Index in Breast Cancer: A Retrospective Study in Western Romania. Journal of Clinical Medicine. 14(4). 1081–1081. 1 indexed citations
3.
Li, Yiming, Zhi‐Nan Chen, Tianjiao Zhang, et al.. (2024). Id2 epigenetically controls CD8+ T-cell exhaustion by disrupting the assembly of the Tcf3-LSD1 complex. Cellular and Molecular Immunology. 21(3). 292–308. 18 indexed citations
4.
Lin, Jing, Mengen Zhai, Meirui Qian, et al.. (2023). Targeting the up-regulated CNOT3 reverses therapeutic resistance and metastatic progression of EGFR-mutant non-small cell lung cancer. Cell Death Discovery. 9(1). 406–406. 2 indexed citations
5.
Cui, Hong‐Yong, Wei Wei, Xin Fu, et al.. (2022). PDGFA‐associated protein 1 is a novel target of c‐Myc and contributes to colorectal cancer initiation and progression. Cancer Communications. 42(8). 750–767. 16 indexed citations
6.
Nan, Gang, Shuhua Zhao, Ting Wang, et al.. (2022). CD147 supports paclitaxel resistance via interacting with RanBP1. Oncogene. 41(7). 983–996. 12 indexed citations
7.
Wu, Jiao, Zhuan Feng, Liang Chen, et al.. (2022). TNF antagonist sensitizes synovial fibroblasts to ferroptotic cell death in collagen-induced arthritis mouse models. Nature Communications. 13(1). 676–676. 190 indexed citations breakdown →
8.
Wang, Ke, Wan Huang, Ruo Chen, et al.. (2021). Di-methylation of CD147-K234 Promotes the Progression of NSCLC by Enhancing Lactate Export. Cell Metabolism. 33(1). 160–173.e6. 45 indexed citations
9.
Lv, Jianjun, Hao Wang, Hong‐Yong Cui, et al.. (2021). Blockade of Macrophage CD147 Protects Against Foam Cell Formation in Atherosclerosis. Frontiers in Cell and Developmental Biology. 8. 609090–609090. 9 indexed citations
10.
Wang, Shijie, Chao Dong, Wei Wei, et al.. (2020). CD147 promotes collective invasion through cathepsin B in hepatocellular carcinoma. Journal of Experimental & Clinical Cancer Research. 39(1). 145–145. 36 indexed citations
11.
Zhou, Yang, Bo Wu, Jianghua Li, et al.. (2017). Rab22a enhances CD147 recycling and is required for lung cancer cell migration and invasion. Experimental Cell Research. 357(1). 9–16. 30 indexed citations
12.
Tang, Juan, Yunshan Guo, Xiaoling Yu, et al.. (2015). CD147 reinforces [Ca2+]i oscillations and promotes oncogenic progression in hepatocellular carcinoma. Oncotarget. 6(33). 34831–34845. 8 indexed citations
13.
Xie, Yuhuan, et al.. (2015). Coffee consumption and the risk of lung cancer: an updated meta-analysis of epidemiological studies. European Journal of Clinical Nutrition. 70(2). 199–206. 34 indexed citations
14.
Wang, Yuan, Lin Yuan, Xiangmin Yang, et al.. (2014). A chimeric antibody targeting CD147 inhibits hepatocellular carcinoma cell motility via FAK-PI3K-Akt-Girdin signaling pathway. Clinical & Experimental Metastasis. 32(1). 39–53. 30 indexed citations
15.
Wu, Jiao, Xiang-Min Yang, Hao Tang, et al.. (2014). Full-length soluble CD147 promotes MMP-2 expression and is a potential serological marker in detection of hepatocellular carcinoma. Journal of Translational Medicine. 12(1). 190–190. 37 indexed citations
16.
17.
Bian, Huijie, Jiasheng Zheng, Gang Nan, et al.. (2014). Randomized Trial of [131I] Metuximab in Treatment of Hepatocellular Carcinoma After Percutaneous Radiofrequency Ablation. JNCI Journal of the National Cancer Institute. 106(9). 67 indexed citations
18.
Ding, Wei, Gang Nan, Hongqi Liu, et al.. (2012). Construction of Recombinant Newcastle Disease Virus Italien Strain for Oncolytic Virotherapy of Tumors. Human Gene Therapy. 23(7). 700–710. 20 indexed citations
19.
Feng, Hao, Wei Ding, Gang Nan, et al.. (2011). Construction of a minigenome rescue system for Newcastle disease virus strain Italien. Archives of Virology. 156(4). 611–616. 12 indexed citations
20.
Nan, Gang, Yan Hua, Ganglong Yang, et al.. (2009). The Hydroxyl-Modified Surfaces on Glass Support for Fabrication of Carbohydrate Microarrays. Current Pharmaceutical Biotechnology. 10(1). 138–146. 7 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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