Fei-Na Li
Impact in
- Microbiology top 5%
- Pharmacology top 5%
- Microbial Natural Products and Biosynthesis
Papers in
-
- Genomics and Phylogenetic Studies 42
- Pharmacology 29
- Microbial Natural Products and Biosynthesis 29
- Co-authors
- Cheng‐Hang Sun (34 shared papers)Shaowei Liu (24 shared papers)Li Tuo (29 shared papers)Петр В. Сергиев (6 shared papers)Zhong-Ke Jiang (6 shared papers)Ilya А. Osterman (6 shared papers)Olga А. Dontsova (4 shared papers)Xiao-Rui Yan (8 shared papers)
- Journals
- INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY (23 papers)Systematic and Applied Microbiology (5 papers)Antonie van Leeuwenhoek (5 papers)Frontiers in Microbiology (4 papers)Annals of Clinical Microbiology and Antimicrobials (2 papers)
- Partner nations
- ChinaRussiaUnited States
In The Last Decade
Fei-Na Li
56 papers receiving 530 citations
Peers
Comparison fields: 5 of 82
- Microbiology 16
- Pharmacology 151
- Biotechnology 68
- Ecology 141
- Molecular Biology 324
Countries citing papers authored by Fei-Na Li
This map shows the geographic impact of Fei-Na Li'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-Na Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei-Na Li more than expected).
Fields of papers citing papers by Fei-Na Li
This network shows the impact of papers produced by Fei-Na Li. 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-Na Li. The network helps show where Fei-Na Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei-Na Li, 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 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 73 | |
| 2 | 2021 | 56 | |
| 3 | 2022 | 39 | |
| 4 | 2019 | 27 | |
| 5 | 2020 | 26 | |
| 6 | 2019 | 22 | |
| 7 | 2018 | 17 | |
| 8 | 2017 | 16 | |
| 9 | 2021 | 15 | |
| 10 | 2016 | 14 | |
| 11 | 2015 | 13 | |
| 12 | 2017 | 12 | |
| 13 | 2023 | 11 | |
| 14 | 2023 | 11 | |
| 15 | 2018 | 11 | |
| 16 | 2019 | 10 | |
| 17 | 2023 | 10 | |
| 18 | 2021 | 8 | |
| 19 | 2024 | 8 | |
| 20 | 2018 | 8 |
About Fei-Na Li
Fei-Na Li is a scholar working on Molecular Biology, Pharmacology, Ecology, Biotechnology and Epidemiology, having authored 61 papers that have together received 538 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (42 papers), Microbial Natural Products and Biosynthesis (29 papers), Microbial Community Ecology and Physiology (27 papers), Tuberculosis Research and Epidemiology (5 papers), Plant Pathogens and Fungal Diseases (5 papers), Plant Disease Resistance and Genetics (4 papers), Microbial Metabolism and Applications (4 papers) and Marine Sponges and Natural Products (4 papers). The work is most often cited by research in Microbiology (16 citations), Pharmacology (151 citations), Biotechnology (68 citations), Ecology (141 citations) and Molecular Biology (324 citations). Fei-Na Li has collaborated with scholars based in China, Russia and United States. Frequent co-authors include Cheng‐Hang Sun, Shaowei Liu, Li Tuo, Петр В. Сергиев, Zhong-Ke Jiang, Ilya А. Osterman, Olga А. Dontsova, Xiao-Rui Yan, Tao Jin and Simon Ming‐Yuen Lee. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Systematic and Applied Microbiology, Antonie van Leeuwenhoek, Frontiers in Microbiology and Annals of Clinical Microbiology and Antimicrobials.
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.