Jing Yang
Impact in
- Molecular Biology top 2%
- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- Machine Learning in Bioinformatics
- vaccines and immunoinformatics approaches
- Plant and Fungal Species Descriptions
- Neurology top 5%
- Barrier Structure and Function Studies
Papers in
-
- RNA and protein synthesis mechanisms 18
- Genomics and Phylogenetic Studies 16
- Machine Learning in Bioinformatics 15
- Plant and Fungal Species Descriptions 13
- RNA modifications and cancer 11
- Bioinformatics and Genomic Networks 8
- Co-authors
- Jie Chen (1 shared paper)Liu Hong (1 shared paper)K.-C. Chou (1 shared paper)Xiang‐Qin Liu (6 shared papers)K.-C. Chou (2 shared papers)Hong‐Bin Shen (7 shared papers)Jianghui Hou (4 shared papers)Junbo Yang (5 shared papers)
- Journals
- Transgenic Research (10 papers)PLoS ONE (9 papers)Bioinformatics (5 papers)Journal of Biological Chemistry (3 papers)Biochemical and Biophysical Research Communications (3 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jing Yang
154 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 144
- Molecular Biology 2.7k
- Neurology 265
- Ecology, Evolution, Behavior and Systematics 374
- Plant Science 641
- Genetics 366
Countries citing papers authored by Jing Yang
This map shows the geographic impact of Jing Yang'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 Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Yang more than expected).
Fields of papers citing papers by Jing Yang
This network shows the impact of papers produced by Jing Yang. 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 Yang. The network helps show where Jing Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing Yang, 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 165 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 454 | |
| 2 | 2010 | 190 | |
| 3 | 2004 | 155 | |
| 4 | 2013 | 145 | |
| 5 | 2018 | 143 | |
| 6 | 2007 | 141 | |
| 7 | 2004 | 96 | |
| 8 | 2013 | 92 | |
| 9 | 2014 | 82 | |
| 10 | 2019 | 80 | |
| 11 | 2013 | 78 | |
| 12 | 2013 | 77 | |
| 13 | 2012 | 75 | |
| 14 | 2020 | 73 | |
| 15 | 2017 | 68 | |
| 16 | 2019 | 56 | |
| 17 | 2014 | 53 | |
| 18 | 2021 | 53 | |
| 19 | 2010 | 53 | |
| 20 | 2015 | 52 |
About Jing Yang
Jing Yang is a scholar working on Molecular Biology, Plant Science, Ecology, Evolution, Behavior and Systematics, Genetics and Oncology, having authored 165 papers that have together received 4.0k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (18 papers), Genomics and Phylogenetic Studies (16 papers), Machine Learning in Bioinformatics (15 papers), Plant and Fungal Species Descriptions (13 papers), RNA modifications and cancer (11 papers), Genetic diversity and population structure (11 papers), Plant and animal studies (9 papers) and Bioinformatics and Genomic Networks (8 papers). The work is most often cited by research in Molecular Biology (2.7k citations), Neurology (265 citations), Ecology, Evolution, Behavior and Systematics (374 citations), Plant Science (641 citations) and Genetics (366 citations). Jing Yang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jie Chen, Liu Hong, K.-C. Chou, Xiang‐Qin Liu, K.-C. Chou, Hong‐Bin Shen, Jianghui Hou, Junbo Yang, Li D and Aparna Renigunta. Their work appears in journals such as Transgenic Research, PLoS ONE, Bioinformatics, Journal of Biological Chemistry and Biochemical and Biophysical Research Communications.
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.