Yating Li

23 papers receiving 1.3k citations

Yating Li's Hit Papers

Administration of Akkermansia muciniphila Ameliorates Dextran Sulfate Sodium-Induced Ulcerative Colitis in Mice 2019 · 439 citations
4390+2+4Years since publication100200300400

Peers

Yating Li
Comparison fields: 5 of 119
  • Pollution 152
  • Molecular Biology 633
  • Food Science 165
  • Biological Psychiatry 20
  • Infectious Diseases 141
Replace Kai Nie with:
Kai Nie China
Shuwen Han China
Raja Ganesan South Korea
Zhitao Li China
Mengwei Zhang China
Xiaoyang Jiao China
Danyang Shi China
Qiang Tang China
Janine Ezendam Netherlands
Ji Wang China
Yating Li relative to Kai Nie China Kai Nie's profile →
Citations per field
00.5×5×12.3×
Kai Nie · 1×
Citations per year

Countries citing papers authored by Yating Li

Since Specialization
Citations

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

Fields of papers citing papers by Yating Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Administration of Akkermansia muciniphila Ameliorates Dextran Sulfate Sodium-Induced Ulcerative Colitis in Mice
Hit paper breakdown →
2019439
2 2018177
3 2017138
4 201780
5 202065
6 202061
7 202054
8 201850
9 202047
10 201730
11 201327
12 202123
13 201919
14 201414
15 202411
16 20149
17 20209
18 20247
19 20256
20 20134

About Yating Li

Yating Li is a scholar working on Molecular Biology, Infectious Diseases, Pollution, Food Science and Biomedical Engineering, having authored 25 papers that have together received 1.3k indexed citations. Recurring topics across this work include Gut microbiota and health (7 papers), Probiotics and Fermented Foods (4 papers), Wastewater Treatment and Nitrogen Removal (3 papers), Algal biology and biofuel production (2 papers), Drug-Induced Hepatotoxicity and Protection (2 papers), Liver Disease Diagnosis and Treatment (2 papers), RNA Interference and Gene Delivery (2 papers) and Biosensors and Analytical Detection (2 papers). The work is most often cited by research in Pollution (152 citations), Molecular Biology (633 citations), Food Science (165 citations), Biological Psychiatry (20 citations) and Infectious Diseases (141 citations). Yating Li has collaborated with scholars based in China, Hong Kong and Thailand. Frequent co-authors include Daiqiong Fang, Wenrui Wu, Ding Shi, Lanjuan Li, Jianzhong Ye, Longxian Lv, Weizhi Zhou, Haixia Zhao, Xiaoyuan Bian and Xianwan Jiang. Their work appears in journals such as Bioresource Technology, Frontiers in Microbiology, BMC Microbiology, Materials Today Bio and Frontiers in Immunology.

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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