Congting Ye
Impact in
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- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Plant Science top 10%
- Plant Molecular Biology Research
- Chromosomal and Genetic Variations
Papers in
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- RNA Research and Splicing 21
- RNA modifications and cancer 13
- RNA and protein synthesis mechanisms 7
- Genomics and Phylogenetic Studies 5
-
- Plant Molecular Biology Research 12
- Chromosomal and Genetic Variations 4
- Co-authors
- Qingshun Quinn Li (21 shared papers)Xiaohui Wu (16 shared papers)Guoli Ji (8 shared papers)Guoli Ji (4 shared papers)Jiahuai Han (2 shared papers)Hanjie Li (2 shared papers)Chun Liang (4 shared papers)Wenbin Ye (10 shared papers)
- Journals
- Bioinformatics (6 papers)Scientific Reports (3 papers)Briefings in Bioinformatics (3 papers)BMC Plant Biology (2 papers)PLANT PHYSIOLOGY (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Congting Ye
44 papers receiving 821 citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 545
- Plant Science 278
- Biochemistry 45
- Cancer Research 73
- Immunology 106
Countries citing papers authored by Congting Ye
This map shows the geographic impact of Congting Ye'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 Congting Ye with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Congting Ye more than expected).
Fields of papers citing papers by Congting Ye
This network shows the impact of papers produced by Congting Ye. 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 Congting Ye. The network helps show where Congting Ye may publish in the future.
Co-authors
The 25 scholars most cited alongside Congting Ye, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 92 | |
| 2 | 2018 | 83 | |
| 3 | 2019 | 42 | |
| 4 | 2019 | 39 | |
| 5 | 2016 | 37 | |
| 6 | 2017 | 36 | |
| 7 | 2019 | 34 | |
| 8 | 2012 | 33 | |
| 9 | 2019 | 29 | |
| 10 | 2018 | 27 | |
| 11 | 2019 | 26 | |
| 12 | 2020 | 25 | |
| 13 | 2018 | 25 | |
| 14 | 2014 | 25 | |
| 15 | 2020 | 24 | |
| 16 | 2019 | 23 | |
| 17 | 2019 | 22 | |
| 18 | 2021 | 21 | |
| 19 | 2017 | 20 | |
| 20 | 2019 | 18 |
About Congting Ye
Congting Ye is a scholar working on Molecular Biology, Plant Science, Ecology, Biochemistry and Ecology, Evolution, Behavior and Systematics, having authored 44 papers that have together received 828 indexed citations. Recurring topics across this work include RNA Research and Splicing (21 papers), RNA modifications and cancer (13 papers), Plant Molecular Biology Research (12 papers), RNA and protein synthesis mechanisms (7 papers), Genomics and Phylogenetic Studies (5 papers), Lipid metabolism and biosynthesis (4 papers), Coastal wetland ecosystem dynamics (4 papers) and Chromosomal and Genetic Variations (4 papers). The work is most often cited by research in Molecular Biology (545 citations), Plant Science (278 citations), Biochemistry (45 citations), Cancer Research (73 citations) and Immunology (106 citations). Congting Ye has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Qingshun Quinn Li, Xiaohui Wu, Guoli Ji, Guoli Ji, Jiahuai Han, Hanjie Li, Chun Liang, Wenbin Ye, Juncheng Lin and Guoli Ji. Their work appears in journals such as Bioinformatics, Scientific Reports, Briefings in Bioinformatics, BMC Plant Biology and PLANT PHYSIOLOGY.
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.