Dandan Wei
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Insect Science top 1%
- Insect-Plant Interactions and Control
- Insect behavior and control techniques
- Insect and Pesticide Research
Papers in
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- Insect Resistance and Genetics 19
- Bacterial biofilms and quorum sensing 9
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- Insect behavior and control techniques 15
- Insect-Plant Interactions and Control 12
- Insect and Pesticide Research 11
- Co-authors
- Jin‐Jun Wang (45 shared papers)Wei Dou (21 shared papers)La‐Gen Wan (21 shared papers)Yang Liu (20 shared papers)Er‐Hu Chen (9 shared papers)Guy Smagghe (10 shared papers)Ming‐Long Yuan (7 shared papers)Dong Wei (7 shared papers)
- Journals
- Microbial Drug Resistance (7 papers)Frontiers in Microbiology (6 papers)BMC Genomics (5 papers)Scientific Reports (5 papers)PLoS ONE (4 papers)
- Partner nations
- ChinaBelgiumUnited States
In The Last Decade
Dandan Wei
135 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 135
- Molecular Medicine 441
- Insect Science 629
- Endocrinology 172
- Microbiology 166
- Ecology 389
Countries citing papers authored by Dandan Wei
This map shows the geographic impact of Dandan Wei'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 Dandan Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dandan Wei more than expected).
Fields of papers citing papers by Dandan Wei
This network shows the impact of papers produced by Dandan Wei. 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 Dandan Wei. The network helps show where Dandan Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Dandan Wei, 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 153 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 106 | |
| 2 | 2020 | 87 | |
| 3 | 2019 | 76 | |
| 4 | 2010 | 74 | |
| 5 | 2010 | 68 | |
| 6 | 2012 | 67 | |
| 7 | 2015 | 64 | |
| 8 | 2015 | 63 | |
| 9 | 2020 | 61 | |
| 10 | 2017 | 53 | |
| 11 | 2017 | 49 | |
| 12 | 2022 | 49 | |
| 13 | 2017 | 46 | |
| 14 | 2015 | 44 | |
| 15 | 2017 | 43 | |
| 16 | 2017 | 42 | |
| 17 | 2018 | 41 | |
| 18 | 2022 | 38 | |
| 19 | 2022 | 35 | |
| 20 | 2017 | 34 |
About Dandan Wei
Dandan Wei is a scholar working on Molecular Biology, Insect Science, Molecular Medicine, Plant Science and Ecology, having authored 153 papers that have together received 2.5k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (29 papers), Insect Resistance and Genetics (19 papers), Insect behavior and control techniques (15 papers), Remote Sensing in Agriculture (14 papers), Insect-Plant Interactions and Control (12 papers), Insect and Pesticide Research (11 papers), Bacterial biofilms and quorum sensing (9 papers) and Fossil Insects in Amber (9 papers). The work is most often cited by research in Molecular Medicine (441 citations), Insect Science (629 citations), Endocrinology (172 citations), Microbiology (166 citations) and Ecology (389 citations). Dandan Wei has collaborated with scholars based in China, Belgium and United States. Frequent co-authors include Jin‐Jun Wang, Wei Dou, La‐Gen Wan, Yang Liu, Er‐Hu Chen, Guy Smagghe, Ming‐Long Yuan, Dong Wei, Hong‐Bo Jiang and Anshan Shan. Their work appears in journals such as Microbial Drug Resistance, Frontiers in Microbiology, BMC Genomics, Scientific Reports and PLoS ONE.
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.