Nan Sun

2.9k total citations · 1 hit paper
32 papers, 957 citations indexed

About

Nan Sun is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Nan Sun has authored 32 papers receiving a total of 957 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 21 papers in Cancer Research and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Nan Sun's work include Cancer-related molecular mechanisms research (14 papers), MicroRNA in disease regulation (13 papers) and RNA modifications and cancer (12 papers). Nan Sun is often cited by papers focused on Cancer-related molecular mechanisms research (14 papers), MicroRNA in disease regulation (13 papers) and RNA modifications and cancer (12 papers). Nan Sun collaborates with scholars based in China, United States and United Kingdom. Nan Sun's co-authors include Yuejun Luo, Xiaohui Zi, Yuxin Yao, Peng Wu, Jié He, Jie He, Zhaoli Chen, Fengwei Tan, Yuxiang Liu and Xiaogang Tan and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Biochemical and Biophysical Research Communications.

In The Last Decade

Nan Sun

32 papers receiving 953 citations

Hit Papers

The potential role of N7-methylguanosine (m7G) in cancer 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nan Sun China 16 782 593 120 78 66 32 957
Pasqualino De Antonellis Italy 10 632 0.8× 471 0.8× 181 1.5× 50 0.6× 56 0.8× 16 889
Tommaso Colangelo Italy 14 376 0.5× 300 0.5× 115 1.0× 82 1.1× 74 1.1× 27 637
Hongming Song China 20 750 1.0× 617 1.0× 141 1.2× 59 0.8× 63 1.0× 38 1.0k
Fengming Lan China 14 828 1.1× 747 1.3× 52 0.4× 53 0.7× 63 1.0× 19 999
Hechun Lin China 14 856 1.1× 591 1.0× 178 1.5× 122 1.6× 67 1.0× 21 1.1k
Ramesh Singh United States 8 715 0.9× 528 0.9× 92 0.8× 43 0.6× 46 0.7× 12 819
Emily A. Dennstedt United States 4 509 0.7× 341 0.6× 141 1.2× 53 0.7× 131 2.0× 4 769
Aránzazu García‐Grande Spain 9 409 0.5× 337 0.6× 175 1.5× 94 1.2× 67 1.0× 14 679
Hai Yu China 16 565 0.7× 446 0.8× 162 1.4× 105 1.3× 82 1.2× 31 792
Lili Zhu China 19 996 1.3× 504 0.8× 104 0.9× 84 1.1× 97 1.5× 37 1.2k

Countries citing papers authored by Nan Sun

Since Specialization
Citations

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

Fields of papers citing papers by Nan Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Nan Sun. A scholar is included among the top collaborators of Nan Sun 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 Nan Sun. Nan Sun 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.
Liu, Zheyu, et al.. (2025). Safety of PD-L1 inhibitors versus PD-1 inhibitors in the treatment of lung cancer: a systematic review and network meta-analysis. Expert Review of Anticancer Therapy. 25(3). 259–267. 1 indexed citations
2.
Li, Dongyu, Peng Wu, Chaoqi Zhang, et al.. (2024). Revisiting the CXCL13/CXCR5 axis in the tumor microenvironment in the era of single-cell omics: Implications for immunotherapy. Cancer Letters. 605. 217278–217278. 6 indexed citations
3.
Wu, Peng, Dongyu Li, Chaoqi Zhang, et al.. (2024). A unique circulating microRNA pairs signature serves as a superior tool for early diagnosis of pan-cancer. Cancer Letters. 588. 216655–216655. 7 indexed citations
4.
Zhang, Chenxi, et al.. (2023). Identification of lncRNA, miRNA and mRNA expression profiles and ceRNA Networks in small cell lung cancer. BMC Genomics. 24(1). 217–217. 10 indexed citations
5.
Sun, Nan, et al.. (2023). Fusion gene 4CL-CCR promotes lignification in tobacco suspension cells. Plant Cell Reports. 42(5). 939–952. 7 indexed citations
6.
Wang, Xinyu, Hao Chen, Dan Song, et al.. (2023). Using integrated analysis from multicentre studies to identify RNA methylation-related lncRNA risk stratification systems for glioma. Cancer Cell International. 23(1). 6 indexed citations
7.
Sun, Nan, Can Li, Xiangning Jiang, & Ying Gai. (2023). Transcriptomic Insights into Functions of LkABCG36 and LkABCG40 in Nicotiana tabacum. Plants. 12(2). 227–227. 4 indexed citations
8.
Li, Lulu, Ziwei Li, Xiangqi Meng, et al.. (2023). Histone lactylation-derived LINC01127 promotes the self-renewal of glioblastoma stem cells via the cis-regulating the MAP4K4 to activate JNK pathway. Cancer Letters. 579. 216467–216467. 51 indexed citations
9.
Luo, Yuejun, Yuxin Yao, Peng Wu, et al.. (2022). The potential role of N7-methylguanosine (m7G) in cancer. Journal of Hematology & Oncology. 15(1). 63–63. 167 indexed citations breakdown →
10.
Sun, Nan, et al.. (2021). Hsa-miR-330-5p Aggravates Thyroid Carcinoma via Targeting FOXE1. Journal of Oncology. 2021. 1–9. 6 indexed citations
11.
Zhou, Mingjie, et al.. (2021). RNA m6A Modification in Immunocytes and DNA Repair: The Biological Functions and Prospects in Clinical Application. Frontiers in Cell and Developmental Biology. 9. 794754–794754. 11 indexed citations
12.
Sun, Nan, Xiangqi Meng, Yuxiang Liu, et al.. (2021). Applications of brain organoids in neurodevelopment and neurological diseases. Journal of Biomedical Science. 28(1). 30–30. 68 indexed citations
13.
Xu, Jun, Shoufang Qu, Nan Sun, et al.. (2020). Construction of a reference material panel for detecting KRAS / NRAS / EGFR / BRAF / MET mutations in plasma ctDNA. Journal of Clinical Pathology. 74(5). 314–320. 7 indexed citations
14.
Zhang, Chenxi, Bin Zhang, Caiping Chen, et al.. (2020). RNA-Seq profiling of circular RNAs in human small cell lung cancer. Epigenomics. 12(8). 685–700. 19 indexed citations
15.
Fan, Tao, Nan Sun, & Jie He. (2020). Exosome-Derived LncRNAs in Lung Cancer. Frontiers in Oncology. 10. 1728–1728. 32 indexed citations
16.
Sun, Nan, Shouguo Sun, Zhiliang Lu, & Jie He. (2018). [Diagnostic value of protein markers in plasma exosomes of lung squamous cell carcinoma].. PubMed. 40(6). 418–421. 9 indexed citations
17.
Wang, Ling, Fubiao Kang, Nan Sun, et al.. (2016). The tumor suppressor miR-124 inhibits cell proliferation and invasion by targeting B7-H3 in osteosarcoma. Tumor Biology. 37(11). 14939–14947. 50 indexed citations
18.
Zhou, Chengcheng, Zhaoli Chen, Jingsi Dong, et al.. (2015). Combination of serum miRNAs with Cyfra21-1 for the diagnosis of non-small cell lung cancer. Cancer Letters. 367(2). 138–146. 28 indexed citations
19.
Wang, Zhen, Zhaoli Chen, Yushun Gao, et al.. (2011). DNA hypermethylation of microRNA-34b/c has prognostic value for stage Ⅰ non-small cell lung cancer. Cancer Biology & Therapy. 11(5). 490–496. 105 indexed citations
20.
Zhang, Zhenfa, Jianqun Ma, Ni Li, Nan Sun, & Changli Wang. (2006). Expression of Nuclear Factor-κB and Its Clinical Significance in Nonsmall-Cell Lung Cancer. The Annals of Thoracic Surgery. 82(1). 243–248. 44 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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