Yuting Lei

34 papers receiving 726 citations

Hit Papers

The AMPK pathway in fatty liver disease 2022 · 210 citations
2100+1+2Years since publication50100150200

Peers

Yuting Lei
Comparison fields: 5 of 121
  • Pharmacology 53
  • Endocrinology, Diabetes and Metabolism 101
  • Epidemiology 190
  • Biochemistry 28
  • Molecular Biology 260
Replace Kang-Yeol Yu with:
Kang-Yeol Yu South Korea
Lin Lei China
Ting Xiong China
Beihui He China
Jeong Eun Kwon South Korea
Jinglin Wang China
Jian Gang Zhang China
Samar A. Antar Egypt
Wenbo Ding China
Bing Yu China
Yuting Lei relative to Kang-Yeol Yu South Korea Kang-Yeol Yu's profile →
Citations per field
00.5×7.4×
Kang-Yeol Yu · 1×
Citations per year

Countries citing papers authored by Yuting Lei

Since Specialization
Citations

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

Fields of papers citing papers by Yuting Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The AMPK pathway in fatty liver disease
Hit paper breakdown →
2022210
2 202274
3 202272
4 202140
5 202133
6 202026
7 202025
8 202123
9 202120
10 201920
11 202317
12 202416
13 202114
14 201313
15 202412
16 202012
17 202112
18 201911
19 202110
20 20209

About Yuting Lei

Yuting Lei is a scholar working on Molecular Biology, Epidemiology, Surgery, Immunology and Oncology, having authored 40 papers that have together received 731 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), Diet, Metabolism, and Disease (4 papers), Gut microbiota and health (4 papers), Helicobacter pylori-related gastroenterology studies (3 papers), Inflammatory Bowel Disease (3 papers), Cholesterol and Lipid Metabolism (3 papers), Drug Transport and Resistance Mechanisms (3 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Pharmacology (53 citations), Endocrinology, Diabetes and Metabolism (101 citations), Epidemiology (190 citations), Biochemistry (28 citations) and Molecular Biology (260 citations). Yuting Lei has collaborated with scholars based in China, Netherlands and Sweden. Frequent co-authors include Dong Cheol Han, Jingzhou Zhang, Jiajun Han, Ning Qu, Lanxiang Yang, Yanhong Yang, Zili Lei, Huijuan Wu, Jiao Guo and Qiang Du. Their work appears in journals such as International Journal of Molecular Medicine, Toxicology, Bioorganic & Medicinal Chemistry, Cell Death Discovery and International Journal of Surgery.

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.

Explore authors with similar magnitude of impact