Jiangye Chen
Impact in
- Infectious Diseases top 2%
- Antifungal resistance and susceptibility
- Epidemiology top 5%
- Fungal Infections and Studies
Papers in
-
- Antifungal resistance and susceptibility 35
- Epidemiology 20
- Fungal Infections and Studies 20
- Co-authors
- Haoping Liu (8 shared papers)Xin-Yi Nie (8 shared papers)Guanghua Huang (5 shared papers)Shelley Lane (2 shared papers)Huafeng Wang (2 shared papers)Fang Cao (5 shared papers)Yang Lü (3 shared papers)Song Chou (1 shared paper)
- Journals
- Acta Biochimica et Biophysica Sinica (11 papers)FEBS Letters (5 papers)Molecular Microbiology (4 papers)Eukaryotic Cell (3 papers)Cell Research (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jiangye Chen
59 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 90
- Infectious Diseases 920
- Epidemiology 688
- Molecular Biology 967
- Cell Biology 190
- Microbiology 62
Countries citing papers authored by Jiangye Chen
This map shows the geographic impact of Jiangye 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 Jiangye Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiangye Chen more than expected).
Fields of papers citing papers by Jiangye Chen
This network shows the impact of papers produced by Jiangye 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 Jiangye Chen. The network helps show where Jiangye Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiangye 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
Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 254 | |
| 2 | 2019 | 206 | |
| 3 | 2005 | 193 | |
| 4 | 2002 | 129 | |
| 5 | 2015 | 99 | |
| 6 | 2009 | 71 | |
| 7 | 2008 | 70 | |
| 8 | 2019 | 69 | |
| 9 | 2015 | 64 | |
| 10 | 2000 | 58 | |
| 11 | 2014 | 49 | |
| 12 | 2007 | 45 | |
| 13 | 2013 | 40 | |
| 14 | 2011 | 39 | |
| 15 | 2006 | 39 | |
| 16 | 2001 | 38 | |
| 17 | 2009 | 27 | |
| 18 | 2016 | 25 | |
| 19 | 2018 | 25 | |
| 20 | 2006 | 24 |
About Jiangye Chen
Jiangye Chen is a scholar working on Infectious Diseases, Epidemiology, Molecular Biology, Oncology and Cell Biology, having authored 59 papers that have together received 1.9k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (35 papers), Fungal Infections and Studies (20 papers), Fungal and yeast genetics research (17 papers), Peptidase Inhibition and Analysis (10 papers), Ubiquitin and proteasome pathways (6 papers), Cancer-related Molecular Pathways (5 papers), Probiotics and Fermented Foods (4 papers) and 14-3-3 protein interactions (3 papers). The work is most often cited by research in Infectious Diseases (920 citations), Epidemiology (688 citations), Molecular Biology (967 citations), Cell Biology (190 citations) and Microbiology (62 citations). Jiangye Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Haoping Liu, Xin-Yi Nie, Guanghua Huang, Shelley Lane, Huafeng Wang, Fang Cao, Yang Lü, Song Chou, Peng Chang and Jing Chen. Their work appears in journals such as Acta Biochimica et Biophysica Sinica, FEBS Letters, Molecular Microbiology, Eukaryotic Cell and Cell Research.
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.