Fang Han

6.3k total citations · 2 hit papers
212 papers, 4.3k citations indexed

About

Fang Han is a scholar working on Molecular Biology, Epidemiology and Oncology. According to data from OpenAlex, Fang Han has authored 212 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Molecular Biology, 36 papers in Epidemiology and 29 papers in Oncology. Recurrent topics in Fang Han's work include Liver Disease Diagnosis and Treatment (14 papers), Analytical chemistry methods development (12 papers) and Adipose Tissue and Metabolism (12 papers). Fang Han is often cited by papers focused on Liver Disease Diagnosis and Treatment (14 papers), Analytical chemistry methods development (12 papers) and Adipose Tissue and Metabolism (12 papers). Fang Han collaborates with scholars based in China, United States and Japan. Fang Han's co-authors include Xiaodong Sun, Ningning Hou, Yongping Liu, Xiaojin Feng, Xue Li, Jingwen Zhang, Chengxia Kan, Jiawen Zhang, Na Huang and Kexin Zhang and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Journal of Clinical Oncology.

In The Last Decade

Fang Han

204 papers receiving 4.3k citations

Hit Papers

Global, regional, and national burden of Alzheimer's dise... 2022 2026 2023 2024 2022 2023 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
Fang Han China 35 1.1k 708 604 461 402 212 4.3k
Miao Zhang China 35 1.8k 1.6× 352 0.5× 566 0.9× 413 0.9× 464 1.2× 177 5.6k
Yixuan Zhang China 34 1.6k 1.4× 344 0.5× 396 0.7× 354 0.8× 243 0.6× 169 3.8k
Tao Pang China 43 2.4k 2.1× 471 0.7× 455 0.8× 412 0.9× 337 0.8× 194 5.3k
Ling Li China 38 1.7k 1.5× 686 1.0× 675 1.1× 699 1.5× 1.1k 2.7× 236 4.9k
Richard Siow United Kingdom 41 2.3k 2.1× 606 0.9× 294 0.5× 433 0.9× 270 0.7× 102 4.7k
David Bernhard Austria 39 2.0k 1.8× 703 1.0× 540 0.9× 503 1.1× 152 0.4× 102 5.7k
Mei‐Ling Cheng Taiwan 39 2.3k 2.0× 878 1.2× 538 0.9× 278 0.6× 190 0.5× 229 5.0k
Maurizio Forte Italy 34 1.4k 1.2× 432 0.6× 598 1.0× 263 0.6× 173 0.4× 118 3.9k
Daniel J. Conklin United States 44 1.6k 1.4× 1.3k 1.8× 325 0.5× 377 0.8× 166 0.4× 146 6.0k
Dimitrios Galaris Greece 36 1.7k 1.5× 593 0.8× 394 0.7× 383 0.8× 139 0.3× 70 5.1k

Countries citing papers authored by Fang Han

Since Specialization
Citations

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

Fields of papers citing papers by Fang Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Han

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Han. A scholar is included among the top collaborators of Fang Han 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 Fang Han. Fang Han 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.
Kan, Chengxia, Kexin Zhang, Xiaofei Zhang, et al.. (2025). Global burden and future trends of metabolic dysfunction-associated Steatotic liver disease: 1990-2021 to 2045. Annals of Hepatology. 30(2). 101898–101898. 8 indexed citations
2.
Han, Fang, et al.. (2025). Inhibition of LRRK2 Ameliorates Aspergillus fumigatus Keratitis by Regulating STING Signaling Pathways. Investigative Ophthalmology & Visual Science. 66(2). 13–13.
3.
Han, Fang, Xiaoyi Liu, Brian Space, et al.. (2024). Stimulus-Induced Dynamic Behavior Regulation of Flexible Crystals through the Tuning of Module Rigidity. Journal of the American Chemical Society. 146(20). 14357–14367. 29 indexed citations
4.
Liu, Xia, Jie Wang, Wenchao Li, et al.. (2023). Case report: Maturity-Onset Diabetes of the Young (MODY12) caused by ABCC8 gene mutations. International Journal of Diabetes in Developing Countries. 43(5). 781–784. 1 indexed citations
5.
Yu, Zekuan, Meijia Li, Jiacheng Yang, et al.. (2023). A Benchmark Dual-Modality Dental Imaging Dataset and a Novel Cognitively Inspired Pipeline for High-Resolution Dental Point Cloud Synthesis. Cognitive Computation. 15(6). 1922–1933. 5 indexed citations
6.
Yuan, Fengjiao, Weihua Zhang, Hui Guo, et al.. (2023). CXCL16 exacerbates Pseudomonas aeruginosa keratitis by promoting neutrophil activation. International Immunopharmacology. 127. 111375–111375. 2 indexed citations
7.
Li, Xue, Fang Han, Na Liu, et al.. (2023). Changing trends of the diseases burden attributable to high BMI in Asia from 1990 to 2019: results from the global burden of disease study 2019. BMJ Open. 13(10). e075437–e075437. 13 indexed citations
8.
Hou, Xiaoli, Xin Zhao, Kexin Zhang, et al.. (2023). Astrocytes in Post-Stroke Depression: Roles in Inflammation, Neurotransmission, and Neurotrophin Signaling. Cellular and Molecular Neurobiology. 43(7). 3301–3313. 12 indexed citations
9.
Zhang, Kexin, Jingwen Zhang, Chengxia Kan, et al.. (2023). Role of dysfunctional peri-organ adipose tissue in metabolic disease. Biochimie. 212. 12–20. 6 indexed citations
10.
Park, Jinhee, Daniela Auer, Fang Han, et al.. (2022). GMP‐compliant manufacturing of biologically active cell‐derived vesicles produced by extrusion technology. SHILAP Revista de lepidopterología. 1(12). e70–e70. 22 indexed citations
11.
Hong, Shenda, Jianliu Wang, Linyan Zhang, et al.. (2022). Signal Quality Index for the fetal heart rates: Development and improvements for fetal monitoring. Expert Systems with Applications. 213. 119244–119244. 1 indexed citations
13.
Li, Wenfei, et al.. (2020). Development and validation of a novel metabolic signature for predicting prognosis in patients with laryngeal cancer. European Archives of Oto-Rhino-Laryngology. 278(4). 1129–1138. 3 indexed citations
14.
Ma, Hanlin, Fang Han, Xiaohui Yan, et al.. (2020). PBK promotes aggressive phenotypes of cervical cancer through ERK/c‐Myc signaling pathway. Journal of Cellular Physiology. 236(4). 2767–2781. 27 indexed citations
15.
Du, Jinghua, Weiguang Ren, Qingshan Zhang, et al.. (2020). Heme Oxygenase‐1 Suppresses Wnt Signaling Pathway in Nonalcoholic Steatohepatitis‐Related Liver Fibrosis. BioMed Research International. 2020(1). 4910601–4910601. 9 indexed citations
16.
Xue, Min, et al.. (2015). Cloning and sequence analysis of full-length cDNAs of peroxisome proliferator-activated receptor α, lipoprotein lipase and hepatic lipase in liver of Siberian sturgeon (Acipenser baerii).. Dongwu yingyang xuebao. 27(3). 956–970. 2 indexed citations
18.
Yu, Huanhuan, Fang Han, Min Xue, et al.. (2014). Efficacy and tolerance of yeast cell wall as an immunostimulant in the diet of Japanese seabass (Lateolabrax japonicus). Aquaculture. 432. 217–224. 39 indexed citations
19.
Han, Fang. (2013). Cloning and Sequence Analysis of Full-Length cDNAs of Key Enzymes of Gluconeogenesis in Siberian Sturgeon(Acipenser baerii). Dongwu yingyang xuebao. 2 indexed citations
20.
Han, Fang. (2012). Evaluation of development models for ethnic cultural tourism in Kashgar City,Xinjiang. Ganhanqu dili. 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.

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