Fang Tan

132 papers receiving 2.5k citations

Peers

Fang Tan
Comparison fields: 5 of 160
  • Genetics 280
  • Biological Psychiatry 37
  • Biochemistry 94
  • Molecular Biology 1.0k
  • Cancer Research 191
Replace Peter Kružliak with:
Peter Kružliak Czechia
Adel Abuzenadah Saudi Arabia
Peter Natesan Pushparaj Saudi Arabia
Lijie Zhang China
Jun Nishihira Japan
Kai Liu China
Yan Zhou China
Md Asiful Islam Malaysia
Hui Tang China
Hiroichi Nagai Japan
Fang Tan relative to Peter Kružliak Czechia Peter Kružliak's profile →
Citations per field
00.5×1.5×
Peter Kružliak · 1×
Citations per year

Countries citing papers authored by Fang Tan

Since Specialization
Citations

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

Fields of papers citing papers by Fang Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Fang Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fang Tan Line = papers co-authored together Fang Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 142 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013216
2
The expression of PAX6, PTEN, vascular endothelial growth factor, and epidermal growth factor receptor in gliomas: relationship to tumor grade and survival.
2003163
3 200879
4 200677
5 200577
6 201957
7 201952
8 201948
9 201947
10 202047
11 201946
12 201244
13 201943
14 202041
15 201941
16 202040
17 202240
18 202039
19 202138
20 201936

About Fang Tan

Fang Tan is a scholar working on Molecular Biology, Physiology, Food Science, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 142 papers that have together received 2.6k indexed citations. Recurring topics across this work include Gut microbiota and health (16 papers), Probiotics and Fermented Foods (13 papers), Antioxidants, Aging, Portulaca oleracea (10 papers), Biochemical effects in animals (9 papers), Pharmacological Effects of Natural Compounds (7 papers), Tea Polyphenols and Effects (7 papers), Cancer-related molecular mechanisms research (6 papers) and Hemoglobinopathies and Related Disorders (6 papers). The work is most often cited by research in Genetics (280 citations), Biological Psychiatry (37 citations), Biochemistry (94 citations), Molecular Biology (1.0k citations) and Cancer Research (191 citations). Fang Tan has collaborated with scholars based in China, Philippines and United States. Frequent co-authors include Xin Zhao, Jianfei Mu, Ruokun Yi, Xianrong Zhou, Solomon F. Ofori‐Acquah, W.K. Alfred Yung, Samit Ghosh, Kenneth R. Hess, Yi Zhou and Olufolake Adisa. Their work appears in journals such as Food Science & Nutrition, Frontiers in Microbiology, Blood, Journal of Food Biochemistry and RSC Advances.

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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