Yan Sun

5.7k total citations · 1 hit paper
130 papers, 3.6k citations indexed

About

Yan Sun is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Molecular Biology. According to data from OpenAlex, Yan Sun has authored 130 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Pulmonary and Respiratory Medicine, 36 papers in Oncology and 31 papers in Molecular Biology. Recurrent topics in Yan Sun's work include Gastric Cancer Management and Outcomes (11 papers), Lung Cancer Treatments and Mutations (11 papers) and Lung Cancer Research Studies (10 papers). Yan Sun is often cited by papers focused on Gastric Cancer Management and Outcomes (11 papers), Lung Cancer Treatments and Mutations (11 papers) and Lung Cancer Research Studies (10 papers). Yan Sun collaborates with scholars based in China, United States and South Korea. Yan Sun's co-authors include Xiangchun Li, Yahui Jiang, Meng Yang, Shuhao Wang, James Chih‐Hsin Yang, Keunchil Park, Wu‐Chou Su, Caicun Zhou, Mehdi Shahidi and Sang-We Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Yan Sun

122 papers receiving 3.6k citations

Hit Papers

Afatinib versus placebo for patients with advanced, metas... 2012 2026 2016 2021 2012 250 500 750
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. Afatinib versus placebo for patients with advanced, metastatic non-small-cell lung cancer after failure of erlotinib, gefitinib, or both, and one or two lines of chemotherapy (LUX-Lung 1): a phase 2b/3 randomised trial
    2012 776 citations Yan Sun 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
Yan Sun China 30 1.4k 1.3k 1.3k 571 339 130 3.6k
Takeshi Ueda Japan 32 2.0k 1.4× 1.2k 0.9× 1.8k 1.4× 899 1.6× 604 1.8× 156 4.2k
Masahiko Nishiyama Japan 33 842 0.6× 1.3k 1.0× 1.6k 1.3× 680 1.2× 400 1.2× 188 3.3k
Mark Garzotto United States 32 1.9k 1.4× 790 0.6× 1.0k 0.8× 854 1.5× 411 1.2× 118 3.8k
Hui Tang China 34 1.1k 0.8× 693 0.5× 1.3k 1.0× 539 0.9× 655 1.9× 161 3.9k
Patrizia Ferroni Italy 41 850 0.6× 1.3k 1.0× 1.2k 0.9× 674 1.2× 734 2.2× 218 5.5k
Jing Gao China 36 1.4k 1.0× 1.9k 1.4× 1.7k 1.3× 1.1k 1.8× 673 2.0× 240 4.6k
Takeo Kosaka Japan 39 1.6k 1.1× 1.2k 0.9× 1.7k 1.4× 838 1.5× 1.5k 4.4× 290 4.8k
Hiroaki Murata Japan 35 1.1k 0.8× 657 0.5× 1.2k 0.9× 478 0.8× 1.0k 3.0× 223 4.0k
Minjiang Chen China 35 1.2k 0.8× 1.1k 0.8× 1.8k 1.4× 903 1.6× 234 0.7× 197 4.0k

Countries citing papers authored by Yan Sun

Since Specialization
Citations

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

Fields of papers citing papers by Yan Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Sun. A scholar is included among the top collaborators of Yan 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 Yan Sun. Yan 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.
2.
Sun, Yan, Xiaodong Fu, Ye Tian, et al.. (2025). A functional cardiac patch promotes cardiac repair by modulating the CCR2− cardiac-resident macrophage niche and their cell crosstalk. Cell Reports Medicine. 6(2). 101932–101932. 4 indexed citations
3.
Wang, Jian, et al.. (2025). Analyses of CTNNB1 mutation and expression and clinicopathological characteristics in 179 cases of solid‐pseudopapillary neoplasm of the pancreas. Journal of Hepato-Biliary-Pancreatic Sciences. 32(4). 327–338. 3 indexed citations
4.
Chen, Shuyan, Junhua Wu, Yiqiang Zhang, et al.. (2024). Activation of aryl hydrocarbon receptor ameliorates degranulation of LL-37 induced mast cells in rosacea through enhancing autophagy. International Immunopharmacology. 146. 113910–113910. 3 indexed citations
5.
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Yang, Yichen, Shasha Liu, Lin Sun, et al.. (2024). FGFR2 fusions assessed by NGS, FISH, and immunohistochemistry in intrahepatic cholangiocarcinoma. Journal of Gastroenterology. 60(2). 235–246. 4 indexed citations
7.
Jiang, Yahui, Meng Yang, Shuhao Wang, Xiangchun Li, & Yan Sun. (2020). Emerging role of deep learning‐based artificial intelligence in tumor pathology. Cancer Communications. 40(4). 154–166. 290 indexed citations
8.
Ding, Bin, et al.. (2020). Short-term load forecasting of LSTM network based on Stacking model integration. 46(7). 40–45. 1 indexed citations
9.
Fan, Yaguang, You‐Lin Qiao, Guiqi Wang, et al.. (2018). [China National Lung Cancer Screening Guideline with Low-dose Computed 
Tomography (2018 version)].. SHILAP Revista de lepidopterología. 21(2). 67–75. 68 indexed citations
10.
Gao, Song, Yan Sun, Limei Hu, et al.. (2016). IGFBP2 Activates the NF-κB Pathway to Drive Epithelial–Mesenchymal Transition and Invasive Character in Pancreatic Ductal Adenocarcinoma. Cancer Research. 76(22). 6543–6554. 88 indexed citations
11.
Zhao, Tiansuo, Wenna Jiang, Xiuchao Wang, et al.. (2016). ESE3 Inhibits Pancreatic Cancer Metastasis by Upregulating E-Cadherin. Cancer Research. 77(4). 874–885. 45 indexed citations
12.
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Li, Xiaoqing, et al.. (2015). ITGBL1 Is a Runx2 Transcriptional Target and Promotes Breast Cancer Bone Metastasis by Activating the TGFβ Signaling Pathway. Cancer Research. 75(16). 3302–3313. 78 indexed citations
14.
15.
Zhao, Tiansuo, He Ren, Jing Chen, et al.. (2014). LASP1 Is a HIF1α Target Gene Critical for Metastasis of Pancreatic Cancer. Cancer Research. 75(1). 111–119. 84 indexed citations
16.
Yang, Da, Sofia Khan, Yan Sun, et al.. (2012). Association of BRCA1 and BRCA2 Mutations With Survival, Chemotherapy Sensitivity, and Gene Mutator Phenotype in Patients With Ovarian Cancer. Obstetrical & Gynecological Survey. 67(3). 164–165. 14 indexed citations
17.
Zhou, Aiping, et al.. (2009). Clinical study of sorafenib in the treatment of Chinese patients with metastatic renal cell carcinoma. Zhonghua miniao waike zazhi. 30(1). 10–14. 1 indexed citations
18.
Sun, Yan, Baocun Sun, Jian Wang, et al.. (2009). Prognostic implication of SYT–SSX fusion type and clinicopathological parameters for tumor‐related death, recurrence, and metastasis in synovial sarcoma. Cancer Science. 100(6). 1018–1025. 34 indexed citations
19.
Darvill, Alan G., Stefan Eberhard, Markus Pauly, et al.. (2001). Preservation of the Delayed-Type Hypersensitivity Response to Alloantigen by Xyloglucans or Oligogalacturonide does not Correlate with the Capacity to Reject Ultraviolet-Induced Skin Tumors in Mice. Journal of Investigative Dermatology. 116(1). 62–68. 11 indexed citations
20.
Sun, Yan, et al.. (1999). The challenges of automating a real-time clinical practice guideline.. PubMed. 7(1). 28–35. 8 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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