Jing Yi
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Toxicology top 2%
Papers in
-
- Cancer-related molecular mechanisms research 9
- MicroRNA in disease regulation 7
-
- Plant Reproductive Biology 13
- Retinoids in leukemia and cellular processes 9
- RNA modifications and cancer 4
- Co-authors
- Isidore Rigoutsos (10 shared papers)Phillipe Loher (7 shared papers)Eric R. Londin (6 shared papers)Bing‐Hua Jiang (3 shared papers)L.-Z. Liu (3 shared papers)Richard L. Carpenter (2 shared papers)Xiaoping Gou (13 shared papers)Aristeidis G. Telonis (4 shared papers)
- Journals
- New Phytologist (3 papers)The Plant Cell (3 papers)BMC Genomics (3 papers)Molecular and Cellular Endocrinology (2 papers)Cell Research (2 papers)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Jing Yi
75 papers receiving 3.8k citations
Jing Yi's Hit Papers
Peers
Comparison fields: 5 of 140
- Cancer Research 1.0k
- Toxicology 112
- Molecular Biology 2.1k
- Plant Science 1.0k
- Catalysis 133
Countries citing papers authored by Jing Yi
This map shows the geographic impact of Jing Yi'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 Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Yi more than expected).
Fields of papers citing papers by Jing Yi
This network shows the impact of papers produced by Jing Yi. 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 Yi. The network helps show where Jing Yi may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing Yi, 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 78 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 444 | |
| 2 | The complex transcriptional landscape of the anucleate human platelet Hit paper breakdown → | 2013 | 442 |
| 3 | 2012 | 250 | |
| 4 | 2018 | 163 | |
| 5 | 2015 | 155 | |
| 6 | 2004 | 140 | |
| 7 | 2015 | 133 | |
| 8 | 2003 | 126 | |
| 9 | 2012 | 117 | |
| 10 | 2015 | 112 | |
| 11 | 2008 | 93 | |
| 12 | 2018 | 89 | |
| 13 | 2002 | 78 | |
| 14 | 2019 | 71 | |
| 15 | 2011 | 71 | |
| 16 | 2013 | 70 | |
| 17 | 2004 | 66 | |
| 18 | 2018 | 60 | |
| 19 | 2004 | 55 | |
| 20 | 2015 | 54 |
About Jing Yi
Jing Yi is a scholar working on Cancer Research, Molecular Biology, Plant Science, Process Chemistry and Technology and Toxicology, having authored 78 papers that have together received 3.9k indexed citations. Recurring topics across this work include Plant Molecular Biology Research (14 papers), Plant Reproductive Biology (13 papers), Retinoids in leukemia and cellular processes (9 papers), Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (7 papers), Plant nutrient uptake and metabolism (6 papers), RNA modifications and cancer (4 papers) and Plant Stress Responses and Tolerance (4 papers). The work is most often cited by research in Cancer Research (1.0k citations), Toxicology (112 citations), Molecular Biology (2.1k citations), Plant Science (1.0k citations) and Catalysis (133 citations). Jing Yi has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Isidore Rigoutsos, Phillipe Loher, Eric R. Londin, Bing‐Hua Jiang, L.-Z. Liu, Richard L. Carpenter, Xiaoping Gou, Aristeidis G. Telonis, Qi Chen and Chong-Yong Li. Their work appears in journals such as New Phytologist, The Plant Cell, BMC Genomics, Molecular and Cellular Endocrinology 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.