Fei Chen
Impact in
- Molecular Biology top 2%
- Advanced biosensing and bioanalysis techniques
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- DNA and Nucleic Acid Chemistry
- Plant Gene Expression Analysis
- Molecular Medicine top 2%
Papers in
-
- Antibiotic Resistance in Bacteria 13
- Co-authors
- Steven A. BennerZunyi YangJoseph K. RitterI S OwensShioko KimuraYhun Yhong SheenCuidan LiLiangsheng Zhang
- Journals
- Nucleic Acids Research (5 papers)PLoS ONE (5 papers)Frontiers in Microbiology (5 papers)Genomics Proteomics & Bioinformatics (4 papers)Applied Microbiology and Biotechnology (4 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Fei Chen
201 papers receiving 5.3k citations
Peers
Comparison fields: 5 of 175
- Molecular Biology 3.2k
- Molecular Medicine 230
- Infectious Diseases 556
- Pharmacology 254
- Cancer Research 367
Countries citing papers authored by Fei Chen
This map shows the geographic impact of Fei Chen'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 Fei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Chen more than expected).
Fields of papers citing papers by Fei Chen
This network shows the impact of papers produced by Fei Chen. 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 Fei Chen. The network helps show where Fei Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fei Chen, 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 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 10 | |
| 6 | 2024 | 9 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 10 | |
| 9 | 2024 | 1 | |
| 10 | 2024 | 2 | |
| 11 | 2023 | 1 | |
| 12 | 2023 | 23 | |
| 13 | 2023 | 6 | |
| 14 | 2022 | 11 | |
| 15 | 2022 | 5 | |
| 16 | 2022 | 28 | |
| 17 | Information Transfer and Biological Significance of Neoplastic Exosomes in the Tumor Microenvironment of Osteosarcoma | 2020 | 0 |
| 18 | Mechanistic research holds promise for bacterial vaccines and phage therapies for Pseudomonas aeruginosa | 2019 | 1 |
| 19 | 2018 | 120 | |
| 20 | 2007 | 59 |
About Fei Chen
Fei Chen is a scholar working on Molecular Medicine, Microbiology, Molecular Biology, Infectious Diseases and Pharmacology, having authored 220 papers that have together received 5.4k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (19 papers), Genomics and Phylogenetic Studies (16 papers), RNA and protein synthesis mechanisms (14 papers), Tuberculosis Research and Epidemiology (14 papers), Antibiotic Resistance in Bacteria (13 papers), Fungal Biology and Applications (10 papers), Mycobacterium research and diagnosis (10 papers) and Gut microbiota and health (9 papers). The work is most often cited by research in Molecular Biology (3.2k citations), Molecular Medicine (230 citations), Infectious Diseases (556 citations), Pharmacology (254 citations) and Cancer Research (367 citations). Fei Chen has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Steven A. Benner, Zunyi Yang, Joseph K. Ritter, I S Owens, Shioko Kimura, Yhun Yhong Sheen, Cuidan Li, Liangsheng Zhang, Kasthuri Venkateswaran and Roger Kern. Their work appears in journals such as Nucleic Acids Research, PLoS ONE, Frontiers in Microbiology, Genomics Proteomics & Bioinformatics and Applied Microbiology and Biotechnology.
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.