Jing Si
Impact in
- Biotechnology top 2%
- Microbial Metabolism and Applications
- Plant Science top 2%
- Enzyme-mediated dye degradation
- Mycorrhizal Fungi and Plant Interactions
Papers in
-
- Mycorrhizal Fungi and Plant Interactions 31
- Enzyme-mediated dye degradation 18
- Pharmacology 25
- Fungal Biology and Applications 25
- Co-authors
- Bao‐Kai Cui (30 shared papers)Yu‐Cheng Dai (15 shared papers)Ge Meng (4 shared papers)Xuejun Wu (4 shared papers)Hongfei Ma (6 shared papers)Fei Zheng (2 shared papers)Feng Peng (1 shared paper)Junliang Zhou (2 shared papers)
- Journals
- Phytotaxa (9 papers)Frontiers in Cellular and Infection Microbiology (6 papers)Frontiers in Microbiology (5 papers)Mycological Progress (3 papers)Journal of Asian Natural Products Research (3 papers)
- Partner nations
- ChinaCzechiaUnited States
In The Last Decade
Jing Si
75 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 107
- Biotechnology 318
- Plant Science 1.1k
- Pharmacology 407
- Cell Biology 298
- Ecology, Evolution, Behavior and Systematics 266
Countries citing papers authored by Jing Si
This map shows the geographic impact of Jing Si'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 Jing Si with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Si more than expected).
Fields of papers citing papers by Jing Si
This network shows the impact of papers produced by Jing Si. 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 Jing Si. The network helps show where Jing Si may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing Si, 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 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 175 | |
| 2 | 2019 | 155 | |
| 3 | 2012 | 116 | |
| 4 | 2018 | 98 | |
| 5 | 2017 | 78 | |
| 6 | 2004 | 78 | |
| 7 | 2019 | 72 | |
| 8 | 2017 | 62 | |
| 9 | 2015 | 60 | |
| 10 | 2022 | 46 | |
| 11 | 2018 | 46 | |
| 12 | 2015 | 45 | |
| 13 | 2003 | 37 | |
| 14 | 2022 | 36 | |
| 15 | 2021 | 35 | |
| 16 | 2016 | 33 | |
| 17 | 2004 | 32 | |
| 18 | 2012 | 29 | |
| 19 | 2021 | 27 | |
| 20 | 2016 | 26 |
About Jing Si
Jing Si is a scholar working on Plant Science, Pharmacology, Ecology, Evolution, Behavior and Systematics, Molecular Biology and Biotechnology, having authored 79 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mycorrhizal Fungi and Plant Interactions (31 papers), Fungal Biology and Applications (25 papers), Lichen and fungal ecology (19 papers), Enzyme-mediated dye degradation (18 papers), Microbial Metabolism and Applications (13 papers), Plant Pathogens and Fungal Diseases (12 papers), Plant and Fungal Species Descriptions (11 papers) and Chromium effects and bioremediation (7 papers). The work is most often cited by research in Biotechnology (318 citations), Plant Science (1.1k citations), Pharmacology (407 citations), Cell Biology (298 citations) and Ecology, Evolution, Behavior and Systematics (266 citations). Jing Si has collaborated with scholars based in China, Czechia and United States. Frequent co-authors include Bao‐Kai Cui, Yu‐Cheng Dai, Ge Meng, Xuejun Wu, Hongfei Ma, Fei Zheng, Feng Peng, Junliang Zhou, Jie Song and Hai-Jiao Li. Their work appears in journals such as Phytotaxa, Frontiers in Cellular and Infection Microbiology, Frontiers in Microbiology, Mycological Progress and Journal of Asian Natural Products 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.