Daiming Fan

11.8k total citations · 4 hit papers
128 papers, 4.0k citations indexed

About

Daiming Fan is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Daiming Fan has authored 128 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Molecular Biology, 32 papers in Oncology and 25 papers in Cancer Research. Recurrent topics in Daiming Fan's work include RNA modifications and cancer (19 papers), Glycosylation and Glycoproteins Research (14 papers) and Cancer-related gene regulation (13 papers). Daiming Fan is often cited by papers focused on RNA modifications and cancer (19 papers), Glycosylation and Glycoproteins Research (14 papers) and Cancer-related gene regulation (13 papers). Daiming Fan collaborates with scholars based in China, United States and Hong Kong. Daiming Fan's co-authors include Kaichun Wu, Yongzhan Nie, Shumei Song, Takeshi Sano, Yelena Y. Janjigian, Jaffer A. Ajani, Jeeyun Lee, Yongquan Shi, Jie Liang and Liu Hong and has published in prestigious journals such as The Lancet, Gastroenterology and PLoS ONE.

In The Last Decade

Daiming Fan

125 papers receiving 4.0k citations

Hit Papers

Gastric adenocarcinoma 2017 2026 2020 2023 2017 2017 2024 2025 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
Daiming Fan China 37 2.7k 1.1k 889 492 487 128 4.0k
Alexander T.H. Wu Taiwan 40 2.6k 1.0× 1.1k 1.0× 1.1k 1.3× 684 1.4× 484 1.0× 170 5.1k
Rongcheng Luo China 35 2.4k 0.9× 1.3k 1.2× 1.1k 1.2× 686 1.4× 502 1.0× 207 4.2k
Ying Liang China 37 2.3k 0.8× 1.1k 1.0× 1.2k 1.3× 416 0.8× 618 1.3× 170 4.1k
Hua‐chuan Zheng China 34 2.5k 0.9× 940 0.9× 1.4k 1.5× 600 1.2× 415 0.9× 184 4.2k
Shengli Yang China 33 2.0k 0.8× 845 0.8× 1.0k 1.2× 432 0.9× 480 1.0× 167 4.0k
Yun‐Yong Park South Korea 34 2.2k 0.8× 827 0.8× 844 0.9× 388 0.8× 341 0.7× 71 3.5k
Liang Zhao China 38 2.4k 0.9× 1.4k 1.3× 709 0.8× 386 0.8× 402 0.8× 166 3.7k
Satyanarayana Rachagani United States 42 2.6k 1.0× 1.0k 1.0× 1.6k 1.8× 396 0.8× 689 1.4× 103 4.1k
Yexiong Tan China 35 2.3k 0.9× 1.1k 1.0× 627 0.7× 334 0.7× 347 0.7× 77 3.5k
Akira Saito Japan 33 1.9k 0.7× 577 0.5× 836 0.9× 814 1.7× 375 0.8× 203 4.3k

Countries citing papers authored by Daiming Fan

Since Specialization
Citations

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

Fields of papers citing papers by Daiming Fan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daiming Fan

This figure shows the co-authorship network connecting the top 25 collaborators of Daiming Fan. A scholar is included among the top collaborators of Daiming Fan 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 Daiming Fan. Daiming Fan 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.
Chen, Shuyi, Tingyu Li, Dan Liu, et al.. (2025). Interaction of PHGDH with IGF2BP1 facilitates m6A-dependent stabilization of TCF7L2 mRNA to confer multidrug resistance in gastric cancer. Oncogene. 44(25). 2064–2077. 3 indexed citations
2.
Kang, Xiaoyu, Lin Zhang, Shushang Liu, et al.. (2025). Platinum drugs upregulate CXCR4 and PDL1 expression via ROS‐dependent pathways, with implications for novel combined treatment in gastric cancer. The Journal of Pathology Clinical Research. 11(1). e70015–e70015. 1 indexed citations
3.
Yang, Wanli, Lili Duan, Xinhui Zhao, et al.. (2025). Integration of machine learning in biomarker discovery for esophageal squamous cell carcinoma: Applications and future directions. Pathology - Research and Practice. 272. 156083–156083.
4.
Liu, Hao, Lingnan Meng, Xianchun Gao, et al.. (2024). N6‐methyladenosine reader hnRNPA2B1 recognizes and stabilizes NEAT1 to confer chemoresistance in gastric cancer. Cancer Communications. 44(4). 469–490. 28 indexed citations
6.
Chen, Jie, Weibo Feng, Wenjie Huang, et al.. (2023). FGF19-mediated ELF4 overexpression promotes colorectal cancer metastasis through transactivating FGFR4 and SRC. Theranostics. 13(4). 1401–1418. 19 indexed citations
7.
Sun, Mengyu, Weibo Feng, Jie Chen, et al.. (2023). An integrative analysis revealing cuproptosis-related lncRNAs signature as a novel prognostic biomarker in hepatocellular carcinoma. Frontiers in Genetics. 14. 1056000–1056000. 8 indexed citations
8.
Chu, Yi, Mingzuo Jiang, Nan Wu, et al.. (2020). O-GlcNAcylation of SIX1 enhances its stability and promotes Hepatocellular Carcinoma Proliferation. Theranostics. 10(21). 9830–9842. 49 indexed citations
9.
Li, Xiaowei, Mingzuo Jiang, Di Chen, et al.. (2018). miR-148b-3p inhibits gastric cancer metastasis by inhibiting the Dock6/Rac1/Cdc42 axis. Journal of Experimental & Clinical Cancer Research. 37(1). 71–71. 43 indexed citations
10.
Yang, Zhiping, Xiaofei Ye, & Daiming Fan. (2012). Meta-analysis is victim to Chinese academic and educational systems. Journal of the Formosan Medical Association. 112(5). 235–236. 4 indexed citations
11.
Kang, Wei, Joanna H. Tong, Anthony W.H. Chan, et al.. (2011). Yes-Associated Protein 1 Exhibits Oncogenic Property in Gastric Cancer and Its Nuclear Accumulation Associates with Poor Prognosis. Clinical Cancer Research. 17(8). 2130–2139. 211 indexed citations
12.
Yao, Liping, Fei Liu, Li Sun, et al.. (2010). Upregulation of PPARγ in Tissue with Gastric Carcinoma. Hybridoma. 29(4). 341–343. 14 indexed citations
13.
Li, Wang, Bei Chen, Yafei Zhang, et al.. (2009). EpCAM is overexpressed in gastric cancer and its downregulation suppresses proliferation of gastric cancer. Journal of Cancer Research and Clinical Oncology. 135(9). 1277–1285. 61 indexed citations
14.
Han, Guohong, Zhanxin Yin, Jianhong Wang, et al.. (2008). Transjugular intrahepatic portosystemic shunt for the treatment of Budd-Chiari syndrome. Journal of interventional radiology. 17(4). 239–242. 1 indexed citations
15.
Liang, Jie, Feihu Bai, Guanhong Luo, et al.. (2007). Hypoxia induced overexpression of PrPC in gastric cancer cell lines. Cancer Biology & Therapy. 6(5). 769–774. 32 indexed citations
16.
Zhang, Xiaoyin, Liu Hong, Wai‐Yee Chan, et al.. (2006). Expression of MG7-Ag in patients with gastric cancer correlates with weaker T cell immune response and more proinflammatory cytokine secretion. Biochemistry and Cell Biology. 84(2). 135–141. 6 indexed citations
17.
Qiao, Taidong, et al.. (2005). Preparation and Characterization of a Specific Monoclonal Antibody Against CIAPIN1. Hybridoma. 24(3). 141–145. 20 indexed citations
18.
Hong, Liu, Yumei Zhang, Shuang Han, et al.. (2004). Preparation and Characterization of a Novel Monoclonal Antibody Specific to Human ZNRD1 Protein. PubMed. 23(1). 65–68. 22 indexed citations
19.
Fan, Daiming, et al.. (2001). Expression of multidrug resistance-related markers in gastric cancer.. PubMed. 20(6C). 4809–14. 47 indexed citations
20.
Zhang, Xueyong, et al.. (1994). In vitro study of anti-cancer agents resistant patterns of resistant human gastric cancer cell lines. Di-Si Junyi Daxue xuebao. 15(2). 86–88. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026