Bei Tan

77 papers receiving 2.0k citations

Bei Tan's Hit Papers

Relationship between intestinal microbiota and ulcerative colitis: Mechanisms and clinical application of probiotics and fecal microbiota transplantation 2018 · 523 citations
5230+2+5Years since publication100200300400500

Peers

Bei Tan
Comparison fields: 5 of 122
  • Biological Psychiatry 74
  • Gastroenterology 138
  • Molecular Biology 957
  • Infectious Diseases 229
  • Genetics 360
Replace Yuqiang Nie with:
Yuqiang Nie China
Le Liu China
Ashish Gurav United States
Eunha Kim South Korea
Linsheng Huang China
Arivarasu Natarajan Anbazhagan United States
Jaewang Ghim South Korea
Aadra P. Bhatt United States
Rafael M. Rezende United States
Bei Tan relative to Yuqiang Nie China Yuqiang Nie's profile →
Citations per field
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Citations per year

Countries citing papers authored by Bei Tan

Since Specialization
Citations

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

Fields of papers citing papers by Bei Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bei 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 Bei Tan Line = papers co-authored together Bei Tan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Relationship between intestinal microbiota and ulcerative colitis: Mechanisms and clinical application of probiotics and fecal microbiota transplantation
Hit paper breakdown →
2018523
2 2018123
3 2018111
4 202284
5 202070
6 202267
7 201862
8 201951
9 202149
10 202145
11 201336
12 202136
13 201933
14 202232
15 201830
16 201729
17 202129
18 202129
19 201726
20 202424

About Bei Tan

Bei Tan is a scholar working on Molecular Biology, Genetics, Surgery, Epidemiology and Oncology, having authored 88 papers that have together received 2.0k indexed citations. Recurring topics across this work include Gut microbiota and health (19 papers), Inflammatory Bowel Disease (15 papers), Cancer Immunotherapy and Biomarkers (8 papers), Clostridium difficile and Clostridium perfringens research (7 papers), Vitamin D Research Studies (6 papers), Microscopic Colitis (6 papers), Helicobacter pylori-related gastroenterology studies (5 papers) and Gastrointestinal motility and disorders (3 papers). The work is most often cited by research in Biological Psychiatry (74 citations), Gastroenterology (138 citations), Molecular Biology (957 citations), Infectious Diseases (229 citations) and Genetics (360 citations). Bei Tan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Weiwei Luo, Zhaohua Shen, Shuai Wu, Xiaoyan Wang, Zhenyu Yang, Changxin Zhu, Yongsheng Quan, Zhong Chen, Yi Wang and Mengwei Xiao. Their work appears in journals such as Inflammatory Bowel Diseases, Digestive Diseases and Sciences, Frontiers in Immunology, BMC Gastroenterology and Journal of Gastroenterology and Hepatology.

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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