Shou‐Wei Ding
- Endocrinology top 0.05%
- Plant and Fungal Interactions Research 38
- Plant Science top 0.05%
- Plant Virus Research Studies 78
- Plant Molecular Biology Research 11
- Plant-Microbe Interactions and Immunity 10
- Plant Disease Resistance and Genetics 8
- Insect Science top 0.1%
- Insect-Plant Interactions and Control 12
- Insect symbiosis and bacterial influences 12
- Horticulture top 0.5%
- Aging top 1%
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- Animal Virus Infections Studies 11
- Journals
- Proceedings of the National Academy of Sciences (10 papers)The Plant Cell (6 papers)Journal of General Virology (5 papers)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Shou‐Wei Ding
98 papers receiving 13.3k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Endocrinology 3.2k
- Plant Science 9.0k
- Insect Science 2.6k
- Horticulture 201
- Aging 255
Countries citing papers authored by Shou‐Wei Ding
This map shows the geographic impact of Shou‐Wei Ding'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 Shou‐Wei Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shou‐Wei Ding more than expected).
Fields of papers citing papers by Shou‐Wei Ding
This network shows the impact of papers produced by Shou‐Wei Ding. 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 Shou‐Wei Ding. The network helps show where Shou‐Wei Ding may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shou‐Wei Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 21 | |
| 2 | 2021 | 21 | |
| 3 | 2020 | 27 | |
| 4 | 2020 | 46 | |
| 5 | Small RNA-based antimicrobial immunitybreakdown → | 2018 | 285 |
| 6 | 2017 | 15 | |
| 7 | 2016 | 23 | |
| 8 | 2013 | 65 | |
| 9 | 2013 | 314 | |
| 10 | 2011 | 79 | |
| 11 | Virus discovery by deep sequencing and assembly of virus-derived small silencing RNAsbreakdown → | 2010 | 375 |
| 12 | 2008 | 182 | |
| 13 | RNA Interference Directs Innate Immunity Against Viruses in Adult Drosophilabreakdown → | 2006 | 580 |
| 14 | 2005 | 341 | |
| 15 | 2004 | 335 | |
| 16 | 2004 | 292 | |
| 17 | Induction and Suppression of RNA Silencing by an Animal Virusbreakdown → | 2002 | 666 |
| 18 | 1995 | 48 | |
| 19 | 1993 | 11 | |
| 20 | 1990 | 6 |
About Shou‐Wei Ding
Shou‐Wei Ding is a scholar working on Endocrinology, Plant Science, Insect Science, Aging and Animal Science and Zoology, having authored 98 papers that have together received 13.6k indexed citations. Recurring topics across this work include Plant Virus Research Studies (78 papers), Plant and Fungal Interactions Research (38 papers), Insect-Plant Interactions and Control (12 papers), Insect symbiosis and bacterial influences (12 papers), Animal Virus Infections Studies (11 papers), Plant Molecular Biology Research (11 papers), Plant-Microbe Interactions and Immunity (10 papers) and Plant Disease Resistance and Genetics (8 papers). The work is most often cited by research in Endocrinology (3.2k citations), Plant Science (9.0k citations), Insect Science (2.6k citations), Horticulture (201 citations) and Aging (255 citations). Shou‐Wei Ding has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Olivier Voinnet, Wan-Xiang Li, Hongwei Li, Qingfa Wu, Shuifang Zhu, Feng Li, Rui Lu, Hongshan Jiang, Rong Lei and Yang Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Plant Cell, Journal of General Virology, Nucleic Acids Research and Science.
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.