Liyan Ye

63 papers receiving 1.4k citations

Peers

Liyan Ye
Comparison fields: 5 of 113
  • Molecular Medicine 377
  • Endocrinology 183
  • Clinical Biochemistry 121
  • Applied Microbiology and Biotechnology 32
  • Genetics 251
Replace Rebecca J. Ingram with:
Rebecca J. Ingram United Kingdom
Andrea Schulze Germany
Juwon Kim South Korea
Cristina Cigana Italy
Zhan Yang China
Zhuang‐Gui Chen China
Marcela Krůtová Czechia
Xinmiao Jia China
Ali Azghani United States
Ines Schneider Germany
Liyan Ye relative to Rebecca J. Ingram United Kingdom Rebecca J. Ingram's profile →
Citations per field
00.5×3.6×
Rebecca J. Ingram · 1×
Citations per year

Countries citing papers authored by Liyan Ye

Since Specialization
Citations

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

Fields of papers citing papers by Liyan Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997390
2 201278
3 200065
4 201661
5
Serum inhibits tight junction formation in cultured pigment epithelial cells.
199753
6 201151
7 201444
8 201140
9 201837
10 201835
11 202131
12 201930
13 202129
14 202028
15 201427
16 201324
17 201024
18 201523
19 201723
20 201220

About Liyan Ye

Liyan Ye is a scholar working on Molecular Medicine, Molecular Biology, Endocrinology, Infectious Diseases and Epidemiology, having authored 66 papers that have together received 1.4k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (18 papers), Bacterial Identification and Susceptibility Testing (6 papers), Enterobacteriaceae and Cronobacter Research (6 papers), Vibrio bacteria research studies (4 papers), Pharmaceutical and Antibiotic Environmental Impacts (4 papers), Fungal Infections and Studies (3 papers), Salmonella and Campylobacter epidemiology (3 papers) and Antimicrobial Resistance in Staphylococcus (3 papers). The work is most often cited by research in Molecular Medicine (377 citations), Endocrinology (183 citations), Clinical Biochemistry (121 citations), Applied Microbiology and Biotechnology (32 citations) and Genetics (251 citations). Liyan Ye has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jiyong Yang, Yanping Luo, Ling Guo, David M. Livingston, Ralph Scully, David M. Chao, Jeffrey D. Parvin, Stephen F. Anderson, Richard A. Young and Qiang Zhao. Their work appears in journals such as Microbial Drug Resistance, BMC Microbiology, Frontiers in Microbiology, Journal of Clinical Microbiology and World Journal of Pediatrics.

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