Fengjun Li
Impact in
- Epidemiology top 0.5%
- Autophagy in Disease and Therapy
- Trypanosoma species research and implications
- Physiology top 0.5%
- Calcium signaling and nucleotide metabolism
Papers in
-
- Parasitic Infections and Diagnostics 5
- Genetics 17
- Genetic diversity and population structure 12
- Co-authors
- Lei Liu (1 shared paper)Shile Huang (1 shared paper)Cynthia Y. He (9 shared papers)Yueming Jiang (12 shared papers)Youxia Shan (10 shared papers)Zhao‐Rong Lun (8 shared papers)Xuewu Duan (5 shared papers)xiao chun ding (4 shared papers)
- Journals
- Postharvest Biology and Technology (9 papers)Trends in Parasitology (3 papers)Autophagy (3 papers)Molecular and Biochemical Parasitology (2 papers)动物学研究 (2 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Fengjun Li
59 papers receiving 5.7k citations
Fengjun Li's Hit Papers
Peers
Comparison fields: 5 of 162
- Epidemiology 3.2k
- Physiology 425
- Geriatrics and Gerontology 184
- Aging 87
- Cell Biology 711
Countries citing papers authored by Fengjun Li
This map shows the geographic impact of Fengjun 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 Fengjun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengjun Li more than expected).
Fields of papers citing papers by Fengjun Li
This network shows the impact of papers produced by Fengjun 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 Fengjun Li. The network helps show where Fengjun Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Fengjun 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) Hit paper breakdown → | 2016 | 4660 |
| 2 | 2006 | 227 | |
| 3 | 2019 | 65 | |
| 4 | 2021 | 58 | |
| 5 | 2022 | 58 | |
| 6 | 2012 | 50 | |
| 7 | 2014 | 47 | |
| 8 | 2020 | 43 | |
| 9 | 2021 | 40 | |
| 10 | 2015 | 38 | |
| 11 | 2017 | 34 | |
| 12 | 2019 | 33 | |
| 13 | 2010 | 32 | |
| 14 | 2019 | 30 | |
| 15 | 2020 | 30 | |
| 16 | 2022 | 27 | |
| 17 | 2009 | 26 | |
| 18 | 2022 | 26 | |
| 19 | 2020 | 20 | |
| 20 | 2006 | 19 |
About Fengjun Li
Fengjun Li is a scholar working on Parasitology, Genetics, Physiology, Epidemiology and Molecular Biology, having authored 62 papers that have together received 5.8k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (12 papers), Genetic diversity and population structure (12 papers), Trypanosoma species research and implications (12 papers), Postharvest Quality and Shelf Life Management (12 papers), Autophagy in Disease and Therapy (8 papers), Calcium signaling and nucleotide metabolism (6 papers), Parasitic Infections and Diagnostics (5 papers) and Identification and Quantification in Food (5 papers). The work is most often cited by research in Epidemiology (3.2k citations), Physiology (425 citations), Geriatrics and Gerontology (184 citations), Aging (87 citations) and Cell Biology (711 citations). Fengjun Li has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Lei Liu, Shile Huang, Cynthia Y. He, Yueming Jiang, Youxia Shan, Zhao‐Rong Lun, Xuewu Duan, xiao chun ding, Taotao Li and De‐Hua Lai. Their work appears in journals such as Postharvest Biology and Technology, Trends in Parasitology, Autophagy, Molecular and Biochemical Parasitology and 动物学研究.
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.