Fang Han
- Molecular Biology top 10%
- Physiology top 5%
- Epidemiology top 5%
- Surgery top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Xiaodong SunNingning HouYongping LiuXiaojin FengXue LiJingwen ZhangChengxia KanJiawen Zhang
- Topics
- Liver Disease Diagnosis and Treatment (14 papers)Analytical chemistry methods development (12 papers)Adipose Tissue and Metabolism (12 papers)
- Journals
- Journal of the American Chemical SocietyAngewandte Chemie International EditionJournal of Clinical Oncology
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Fang Han
204 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Molecular Biology 1.1k
- Physiology 708
- Epidemiology 604
- Surgery 461
- Endocrinology, Diabetes and Metabolism 402
Countries citing papers authored by Fang Han
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 0 | |
| 3 | 29 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 13 | |
| 8 | 12 | |
| 9 | 6 | |
| 10 | 22 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | 3 | |
| 14 | 27 | |
| 15 | 9 | |
| 16 | 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). | 2 |
| 17 | 10 | |
| 18 | 39 | |
| 19 | Cloning and Sequence Analysis of Full-Length cDNAs of Key Enzymes of Gluconeogenesis in Siberian Sturgeon(Acipenser baerii) | 2 |
| 20 | Evaluation of development models for ethnic cultural tourism in Kashgar City,Xinjiang | 1 |
About Fang Han
Fang Han is a scholar working on Analytical Chemistry, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 212 papers that have together received 4.3k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (14 papers), Analytical chemistry methods development (12 papers) and Adipose Tissue and Metabolism (12 papers). The work is most often cited by research in Behavioral Neuroscience (118 citations), Biological Psychiatry (81 citations) and Physiology (708 citations). Fang Han has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xiaodong Sun, Ningning Hou, Yongping Liu, Xiaojin Feng, Xue Li, Jingwen Zhang, Chengxia Kan, Jiawen Zhang, Na Huang and Kexin Zhang. Their work appears in journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Journal of Clinical Oncology.
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.