Ye Feng
Impact in
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 1%
- Vibrio bacteria research studies
Papers in
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- Vibrio bacteria research studies 14
-
- Antibiotic Resistance in Bacteria 14
- Co-authors
- Zhi RuanYunsong YuCheng‐Hsun ChiuShu‐Lin LiuCheng-Hsun ChiuChyi‐Liang ChenSongnian HuNeesh Pannu
- Journals
- PLoS ONE (6 papers)Nucleic Acids Research (4 papers)Journal of Microbiology Immunology and Infection (3 papers)BMC Genomics (3 papers)Genomics (3 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Ye Feng
139 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 133
- Molecular Medicine 695
- Endocrinology 485
- Food Science 494
- Cancer Research 381
- Clinical Biochemistry 170
Countries citing papers authored by Ye Feng
This map shows the geographic impact of Ye Feng'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 Ye Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Feng more than expected).
Fields of papers citing papers by Ye Feng
This network shows the impact of papers produced by Ye Feng. 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 Ye Feng. The network helps show where Ye Feng may publish in the future.
Co-authors
The 25 scholars most cited alongside Ye Feng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 9 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 13 | |
| 8 | 2021 | 2 | |
| 9 | 2020 | 15 | |
| 10 | 2018 | 3 | |
| 11 | Transcriptome analysis of cTnI R193H mutation mice with restrictive cardiomyopathy based on RNA-Seq | 2018 | 0 |
| 12 | 2018 | 8 | |
| 13 | Isolation and identification of Getah virus from Culicoides in Xinjiang. | 2017 | 1 |
| 14 | Serological survey on deer epizootic hemorrhagic disease of bovine in Xinjiang of China. | 2016 | 1 |
| 15 | 2015 | 2 | |
| 16 | Management of an outbreak of brucellosis due to B. melitensis in dairy cattle. | 2014 | 9 |
| 17 | 2013 | 1 | |
| 18 | 2013 | 3 | |
| 19 | 2009 | 20 | |
| 20 | 2009 | 9 |
About Ye Feng
Ye Feng is a scholar working on Endocrinology, Molecular Medicine, Food Science, Infectious Diseases and Nephrology, having authored 144 papers that have together received 3.4k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (22 papers), Bacteriophages and microbial interactions (14 papers), Antibiotic Resistance in Bacteria (14 papers), Vibrio bacteria research studies (14 papers), Genomics and Phylogenetic Studies (14 papers), Cancer-related molecular mechanisms research (9 papers), Bacterial biofilms and quorum sensing (7 papers) and RNA modifications and cancer (7 papers). The work is most often cited by research in Molecular Medicine (695 citations), Endocrinology (485 citations), Food Science (494 citations), Cancer Research (381 citations) and Clinical Biochemistry (170 citations). Ye Feng has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Zhi Ruan, Yunsong Yu, Cheng‐Hsun Chiu, Shu‐Lin Liu, Cheng-Hsun Chiu, Chyi‐Liang Chen, Songnian Hu, Neesh Pannu, Yan Jiang and Hangfei Chen. Their work appears in journals such as PLoS ONE, Nucleic Acids Research, Journal of Microbiology Immunology and Infection, BMC Genomics and Genomics.
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.