Yi Pan

2.5k total citations · 1 hit paper
57 papers, 1.7k citations indexed

About

Yi Pan is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Yi Pan has authored 57 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 16 papers in Surgery and 12 papers in Oncology. Recurrent topics in Yi Pan's work include Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers), Genetic factors in colorectal cancer (6 papers) and Prostate Cancer Treatment and Research (6 papers). Yi Pan is often cited by papers focused on Cholangiocarcinoma and Gallbladder Cancer Studies (6 papers), Genetic factors in colorectal cancer (6 papers) and Prostate Cancer Treatment and Research (6 papers). Yi Pan collaborates with scholars based in China, Sweden and Hong Kong. Yi Pan's co-authors include Ulf S.R. Bergerheim, Ka‐Fai To, Raymond Wai Ming Lung, Joanna H. Tong, Anthony W.H. Chan, Wing P. Chak, Peter Ekman, Hideyasu Matsuyama, Wei Kang and Bernhard Tribukait and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and ACS Nano.

In The Last Decade

Yi Pan

54 papers receiving 1.7k citations

Hit Papers

MET Amplification and Exon 14 Splice Site Mutation Define... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi Pan China 24 863 612 572 409 242 57 1.7k
Éric Guérin France 27 811 0.9× 503 0.8× 491 0.9× 693 1.7× 129 0.5× 75 1.7k
Josef Brueggen Switzerland 10 1.8k 2.1× 348 0.6× 381 0.7× 633 1.5× 239 1.0× 14 2.4k
Brian P. James United States 15 943 1.1× 250 0.4× 676 1.2× 690 1.7× 237 1.0× 27 1.6k
Lawrence N. Kwong United States 27 1.5k 1.7× 397 0.6× 641 1.1× 1.2k 3.0× 369 1.5× 62 2.6k
Xiaoyuan Chu China 33 2.0k 2.3× 272 0.4× 1.4k 2.5× 557 1.4× 170 0.7× 91 2.7k
Bo Gao Australia 19 984 1.1× 335 0.5× 280 0.5× 781 1.9× 125 0.5× 88 1.8k
Jean–Louis Fischel France 24 817 0.9× 599 1.0× 348 0.6× 1.2k 3.0× 140 0.6× 62 1.9k
Deepa S. Subramaniam United States 25 810 0.9× 793 1.3× 378 0.7× 922 2.3× 116 0.5× 81 2.2k
Simonetta Buglioni Italy 22 930 1.1× 227 0.4× 511 0.9× 772 1.9× 173 0.7× 71 1.7k

Countries citing papers authored by Yi Pan

Since Specialization
Citations

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

Fields of papers citing papers by Yi Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Pan. A scholar is included among the top collaborators of Yi Pan 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 Yi Pan. Yi Pan 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.
Kowdley, Kris V., et al.. (2025). Treatment Persistence, Normal Alkaline Phosphatase and Clinical Outcomes in Primary Biliary Cholangitis. Alimentary Pharmacology & Therapeutics. 63(4). 522–537.
2.
Song, Shaoxu, Yi Pan, Wei Song, et al.. (2025). Deep learning in multi-modal breast cancer data fusion: a literature review. Quantitative Imaging in Medicine and Surgery. 15(11). 11578–11610. 1 indexed citations
5.
Yang, Yue, Bin Huang, Qingxin Wang, et al.. (2024). Adipocyte microRNA-802 promotes adipose tissue inflammation and insulin resistance by modulating macrophages in obesity. eLife. 13. 7 indexed citations
6.
Pan, Yi, Yinghua Li, Zhi Xu, et al.. (2023). Nitrogen-Doped Carbon Cubosomes as an Efficient Electrocatalyst with High Accessibility of Internal Active Sites. ACS Nano. 17(23). 23850–23860. 27 indexed citations
7.
Li, Chen, Yi Pan, Luoxing Xiang, et al.. (2023). Metal Organic Framework Cubosomes. Angewandte Chemie International Edition. 62(11). e202215985–e202215985. 30 indexed citations
8.
Chan, Anthony W.H., Yi Pan, Joanna H. Tong, et al.. (2020). Receptor tyrosine kinase fusions act as a significant alternative driver of the serrated pathway in colorectal cancer development. The Journal of Pathology. 251(1). 74–86. 10 indexed citations
9.
Shen, Nan, Jun Du, Hui Zhou, et al.. (2019). A Diagnostic Panel of DNA Methylation Biomarkers for Lung Adenocarcinoma. Frontiers in Oncology. 9. 1281–1281. 31 indexed citations
10.
Pan, Yi, Joanna H.M. Tong, Wei Kang, et al.. (2018). EXOSC4 functions as a potential oncogene in development and progression of colorectal cancer. Molecular Carcinogenesis. 57(12). 1780–1791. 16 indexed citations
11.
Zhang, Jinglin, Yuhang Zhou, Tingting Huang, et al.. (2018). FGF18, a prominent player in FGF signaling, promotes gastric tumorigenesis through autocrine manner and is negatively regulated by miR-590-5p. Oncogene. 38(1). 33–46. 43 indexed citations
12.
Pan, Yi, ST Cheung, Joanna H.M. Tong, et al.. (2018). Granulin epithelin precursor promotes colorectal carcinogenesis by activating MARK/ERK pathway. Journal of Translational Medicine. 16(1). 150–150. 12 indexed citations
13.
Tong, Joanna H., Sai F. Yeung, Anthony W.H. Chan, et al.. (2016). MET Amplification and Exon 14 Splice Site Mutation Define Unique Molecular Subgroups of Non–Small Cell Lung Carcinoma with Poor Prognosis. Clinical Cancer Research. 22(12). 3048–3056. 330 indexed citations breakdown →
14.
Kang, Wei, Joanna H. Tong, Raymond Wai Ming Lung, et al.. (2015). Targeting of YAP1 by microRNA-15a and microRNA-16-1 exerts tumor suppressor function in gastric adenocarcinoma. Molecular Cancer. 14(1). 52–52. 107 indexed citations
15.
Kang, Wei, Raymond Wai Ming Lung, Yujuan Dong, et al.. (2014). let-7b/g silencing activates AKT signaling to promote gastric carcinogenesis. Journal of Translational Medicine. 12(1). 281–281. 29 indexed citations
16.
Matsuyama, Hideyasu, Yi Pan, Satoru Yoshihiro, et al.. (2003). The Role of Chromosome 8p22 Deletion for Predicting Disease Progression and Pathological Staging in Prostate Cancer. Aktuelle Urologie. 34(4). 247–249. 9 indexed citations
17.
Matsuyama, Hideyasu, Yi Pan, Satoru Yoshihiro, et al.. (2002). Clinical significance of chromosome 8p, 10q, and 16q deletions in prostate cancer. The Prostate. 54(2). 103–111. 42 indexed citations
18.
Pan, Yi, Soili Kytölä, Filip Farnebo, et al.. (1999). Characterization of chromosomal abnormalities in prostate cancer cell lines by spectral karyotyping. Cytogenetic and Genome Research. 87(3-4). 225–232. 51 indexed citations
19.
Pan, Yi, Hideyasu Matsuyama, Naining Wang, et al.. (1998). Chromosome 16q24 deletion and decreased E-cadherin expression: Possible association with metastatic potential in prostate cancer. The Prostate. 36(1). 31–38. 26 indexed citations
20.
Wang, Naining, Yi Pan, Thomas Heiden, & Bernhard Tribukait. (1995). Fluorescence image cytometry for measurement of nuclear DNA content in surgical pathology. Cytometry. 22(4). 323–329. 11 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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