Long‐Fei Fu
Impact in
-
- Plant Diversity and Evolution
- Plant and animal studies
-
- Plant and Fungal Species Descriptions
- Genomics and Phylogenetic Studies
Papers in
-
- Plant and Fungal Species Descriptions 48
- Genomics and Phylogenetic Studies 6
-
- Plant Diversity and Evolution 42
- Plant and animal studies 13
- Plant Taxonomy and Phylogenetics 4
- Co-authors
- Fang Wen (40 shared papers)Yi‐Gang Wei (28 shared papers)Alexandre K. Monro (8 shared papers)Nadia Bystriakova (1 shared paper)Shu Li (3 shared papers)Yue Wang (1 shared paper)MAXIM S. NURALIEV (5 shared papers)Alex Monro (3 shared papers)
- Journals
- Phytotaxa (5 papers)Frontiers in Plant Science (2 papers)PeerJ (2 papers)PhytoKeys (12 papers)Journal of Systematics and Evolution (1 paper)
- Partner nations
- ChinaUnited KingdomVietnam
In The Last Decade
Long‐Fei Fu
50 papers receiving 244 citations
Peers
Comparison fields: 5 of 39
- Ecology, Evolution, Behavior and Systematics 198
- Molecular Biology 200
- Plant Science 103
- Pharmacology 19
- Paleontology 12
Countries citing papers authored by Long‐Fei Fu
This map shows the geographic impact of Long‐Fei Fu'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 Long‐Fei Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long‐Fei Fu more than expected).
Fields of papers citing papers by Long‐Fei Fu
This network shows the impact of papers produced by Long‐Fei Fu. 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 Long‐Fei Fu. The network helps show where Long‐Fei Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Long‐Fei Fu, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 41 | |
| 2 | 2019 | 14 | |
| 3 | 2012 | 14 | |
| 4 | 2020 | 9 | |
| 5 | 2017 | 9 | |
| 6 | 2018 | 8 | |
| 7 | 2022 | 8 | |
| 8 | 2019 | 7 | |
| 9 | 2020 | 7 | |
| 10 | 2019 | 6 | |
| 11 | 2019 | 6 | |
| 12 | 2022 | 6 | |
| 13 | 2021 | 6 | |
| 14 | 2022 | 6 | |
| 15 | 2020 | 5 | |
| 16 | 2020 | 5 | |
| 17 | 2017 | 5 | |
| 18 | 2021 | 5 | |
| 19 | 2017 | 5 | |
| 20 | 2018 | 4 |
About Long‐Fei Fu
Long‐Fei Fu is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics, Plant Science, Pharmacology and Genetics, having authored 53 papers that have together received 246 indexed citations. Recurring topics across this work include Plant and Fungal Species Descriptions (48 papers), Plant Diversity and Evolution (42 papers), Plant Parasitism and Resistance (18 papers), Plant and animal studies (13 papers), Genomics and Phylogenetic Studies (6 papers), Alkaloids: synthesis and pharmacology (6 papers), Plant Taxonomy and Phylogenetics (4 papers) and Genetic diversity and population structure (3 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (198 citations), Molecular Biology (200 citations), Plant Science (103 citations), Pharmacology (19 citations) and Paleontology (12 citations). Long‐Fei Fu has collaborated with scholars based in China, United Kingdom and Vietnam. Frequent co-authors include Fang Wen, Yi‐Gang Wei, Alexandre K. Monro, Nadia Bystriakova, Shu Li, Yue Wang, MAXIM S. NURALIEV, Alex Monro, Truong Van Do and Wang Wen-Tsai. Their work appears in journals such as Phytotaxa, Frontiers in Plant Science, PeerJ, PhytoKeys and Journal of Systematics and Evolution.
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.