Dan Fang

771 total citations
33 papers, 527 citations indexed

About

Dan Fang is a scholar working on Molecular Biology, Cognitive Neuroscience and Oncology. According to data from OpenAlex, Dan Fang has authored 33 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Cognitive Neuroscience and 6 papers in Oncology. Recurrent topics in Dan Fang's work include Cancer-related molecular mechanisms research (3 papers), Multisensory perception and integration (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). Dan Fang is often cited by papers focused on Cancer-related molecular mechanisms research (3 papers), Multisensory perception and integration (3 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). Dan Fang collaborates with scholars based in China, United States and Australia. Dan Fang's co-authors include Peiyuan Li, Dean Tian, Tun‐Min Jai, Michael W. O’Boyle, Hongping Xia, Mu-Ru Wang, Haojun Xu, Jingdong Ma, Jiaqi Sheng and Yang Song and has published in prestigious journals such as Optics Express, Frontiers in Immunology and Experimental Cell Research.

In The Last Decade

Dan Fang

31 papers receiving 517 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Fang China 14 188 137 93 69 59 33 527
Rachel Han United States 12 223 1.2× 60 0.4× 26 0.3× 77 1.1× 53 0.9× 21 649
Arup Ghosh India 14 94 0.5× 30 0.2× 37 0.4× 44 0.6× 67 1.1× 56 835
Jennifer Harman United States 12 472 2.5× 160 1.2× 28 0.3× 47 0.7× 84 1.4× 31 1.0k
Jingqiang Wang China 11 165 0.9× 33 0.2× 46 0.5× 44 0.6× 57 1.0× 25 423
Yaqian Tan China 12 180 1.0× 69 0.5× 40 0.4× 104 1.5× 36 0.6× 27 414
Vincent Lai China 20 55 0.3× 56 0.4× 6 0.1× 127 1.8× 138 2.3× 42 999
Yijie Zheng China 15 487 2.6× 362 2.6× 12 0.1× 123 1.8× 55 0.9× 23 840
Irum Khan United States 15 289 1.5× 39 0.3× 46 0.5× 115 1.7× 21 0.4× 47 805
Laurie Ford United States 23 377 2.0× 112 0.8× 18 0.2× 320 4.6× 42 0.7× 66 1.2k

Countries citing papers authored by Dan Fang

Since Specialization
Citations

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

Fields of papers citing papers by Dan Fang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Fang

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Fang. A scholar is included among the top collaborators of Dan Fang 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 Dan Fang. Dan Fang 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.
Peng, Tao, et al.. (2025). High-precision camera calibration based on concentric circle compensation for industrial environments. Optics Express. 33(25). 52503–52503.
2.
Gan, B.K., Lei Wu, Zhihong Chen, et al.. (2025). Comprehensive analysis of publications concerning combinations of immunotherapy and targeted therapies for hepatocellular carcinoma: a bibliometric study. Frontiers in Immunology. 16. 1476146–1476146. 2 indexed citations
3.
Wang, Rui, Dan Fang, Ning Wang, et al.. (2025). Rising TRPV4 expression in the central nucleus of amygdala is involved in tooth movement pain. Physiology & Behavior. 304. 115159–115159. 1 indexed citations
4.
Fang, Dan, et al.. (2025). The impact of mixed-ownership reform on breakthrough innovation of state-owned enterprises. International Review of Economics & Finance. 102. 104321–104321. 1 indexed citations
5.
Fang, Dan, et al.. (2024). Applying enhanced recovery after surgery protocols in a patient with a giant spleen: a case report. Frontiers in Oncology. 14. 1422776–1422776.
6.
Liang, Yulong, Dan Fang, Xiaojun Gao, et al.. (2022). Circulating microRNAs as emerging regulators of COVID-19. Theranostics. 13(1). 125–147. 25 indexed citations
7.
Han, Yingying, Dan Fang, Mu-Ru Wang, et al.. (2022). Urgent Endoscopy in Nonvariceal Upper Gastrointestinal Hemorrhage: A Retrospective Analysis. Current Medical Science. 42(4). 856–862. 1 indexed citations
8.
Fang, Dan, Mu-Ru Wang, Yingying Han, et al.. (2021). Bromodomain-containing protein 9 promotes hepatocellular carcinoma progression via activating the Wnt/β-catenin signaling pathway. Experimental Cell Research. 406(2). 112727–112727. 13 indexed citations
9.
Fang, Dan, Chengfei Zhang, Ping Xu, et al.. (2021). S100A16 promotes metastasis and progression of pancreatic cancer through FGF19-mediated AKT and ERK1/2 pathways. Cell Biology and Toxicology. 37(4). 555–571. 39 indexed citations
10.
11.
Wang, Mu-Ru, Dan Fang, Ge Wang, et al.. (2020). Long non-coding RNA LINC01503 promotes the progression of hepatocellular carcinoma via activating MAPK/ERK pathway. International Journal of Medical Sciences. 17(9). 1224–1234. 13 indexed citations
12.
Wang, Ge, Xiuqing Zhu, Mu-Ru Wang, et al.. (2020). Infection, Screening, and Psychological Stress of Health-Care Workers With COVID-19 in a Nonfrontline Clinical Department. Disaster Medicine and Public Health Preparedness. 16(3). 949–955. 5 indexed citations
13.
Zhang, Chengfei, Xiaoming Wang, Dan Fang, et al.. (2020). STK39 is a novel kinase contributing to the progression of hepatocellular carcinoma by the PLK1/ERK signaling pathway. Theranostics. 11(5). 2108–2122. 29 indexed citations
14.
Sheng, Jiaqi, Mu-Ru Wang, Dan Fang, et al.. (2020). LncRNA NBR2 inhibits tumorigenesis by regulating autophagy in hepatocellular carcinoma. Biomedicine & Pharmacotherapy. 133. 111023–111023. 59 indexed citations
15.
Jia, Guiqing, Gang Deng, Dan Fang, et al.. (2019). miR-590-5p promotes liver cancer growth and chemotherapy resistance through directly targeting FOXO1.. PubMed. 11(4). 2181–2193. 19 indexed citations
16.
Hu, Chaosu, Dan Fang, Haojun Xu, Qianghu Wang, & Hongping Xia. (2019). The androgen receptor expression and association with patient's survival in different cancers. Genomics. 112(2). 1926–1940. 35 indexed citations
17.
Rajmohan, Ravi, Ronald C. Anderson, Dan Fang, et al.. (2017). White Matter Deterioration May Foreshadow Impairment of Emotional Valence Determination in Early-Stage Dementia of the Alzheimer Type. Frontiers in Aging Neuroscience. 9. 37–37. 4 indexed citations
18.
Fang, Dan, et al.. (2017). Spatial Attention in Binge-Drinking and Moderate-Drinking College Students: An fMRI Investigation. Alcoholism Treatment Quarterly. 35(3). 260–278. 5 indexed citations
19.
Locke, Clayton R., Dan Fang, Paul L. Stanwix, et al.. (2015). Viscosity and Dew Point Measurements of {xCH4 + (1 – x)C4H10} for x = 0.9484 with a Vibrating-Wire Viscometer. Journal of Chemical & Engineering Data. 60(12). 3688–3695. 14 indexed citations
20.
Pati, Debajyoti, et al.. (2014). Neural Correlates of Nature Stimuli: An fMRI Study. HERD Health Environments Research & Design Journal. 7(2). 9–28. 15 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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