Liyan Ye
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Endocrinology top 2%
- Escherichia coli research studies
Papers in
-
- Antibiotic Resistance in Bacteria 18
- Co-authors
- Jiyong Yang (18 shared papers)Yanping Luo (18 shared papers)Ling Guo (12 shared papers)David M. Chao (1 shared paper)Stephen F. Anderson (1 shared paper)David M. Livingston (1 shared paper)Richard A. Young (1 shared paper)Ralph Scully (1 shared paper)
- Journals
- Microbial Drug Resistance (5 papers)BMC Microbiology (4 papers)Frontiers in Microbiology (4 papers)Frontiers in Bioscience-Landmark (2 papers)World Journal of Pediatrics (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Liyan Ye
62 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 111
- Molecular Medicine 373
- Endocrinology 179
- Clinical Biochemistry 117
- Applied Microbiology and Biotechnology 32
- Genetics 237
Countries citing papers authored by Liyan Ye
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
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.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 370 | |
| 2 | 2012 | 77 | |
| 3 | 2000 | 61 | |
| 4 | 2016 | 61 | |
| 5 | Serum inhibits tight junction formation in cultured pigment epithelial cells. | 1997 | 49 |
| 6 | 2011 | 48 | |
| 7 | 2014 | 44 | |
| 8 | 2011 | 39 | |
| 9 | 2018 | 36 | |
| 10 | 2018 | 35 | |
| 11 | 2019 | 30 | |
| 12 | 2021 | 30 | |
| 13 | 2021 | 29 | |
| 14 | 2020 | 28 | |
| 15 | 2014 | 27 | |
| 16 | 2013 | 24 | |
| 17 | 2010 | 23 | |
| 18 | 2015 | 23 | |
| 19 | 2017 | 23 | |
| 20 | 2012 | 20 |
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 (373 citations), Endocrinology (179 citations), Clinical Biochemistry (117 citations), Applied Microbiology and Biotechnology (32 citations) and Genetics (237 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. Chao, Stephen F. Anderson, David M. Livingston, Richard A. Young, Ralph Scully, Jeffrey D. Parvin and Qiang Zhao. Their work appears in journals such as Microbial Drug Resistance, BMC Microbiology, Frontiers in Microbiology, Frontiers in Bioscience-Landmark 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.