Dan‐Dan Bian
Impact in
- Insect Science top 5%
- Insect-Plant Interactions and Control
- Insect and Pesticide Research
- Insect Utilization and Effects
- Hepatology top 10%
- Hepatitis C virus research
Papers in
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- Insect Resistance and Genetics 7
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- Insect Utilization and Effects 8
- Silkworms and Sericulture Research 6
- Co-authors
- Qiu‐Ning Liu (18 shared papers)Chun‐Lin Zhou (8 shared papers)Bo‐Ping Tang (12 shared papers)Xin-Yue Chai (3 shared papers)Fanchi Li (11 shared papers)Boping Tang (11 shared papers)Haina Sun (9 shared papers)Wentao Ye (9 shared papers)
- Journals
- International Journal of Biological Macromolecules (5 papers)Pesticide Biochemistry and Physiology (4 papers)Reviews in Aquaculture (2 papers)Insect Molecular Biology (2 papers)Journal of Viral Hepatitis (2 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Dan‐Dan Bian
43 papers receiving 495 citations
Peers
Comparison fields: 5 of 70
- Insect Science 162
- Hepatology 53
- Genetics 136
- Ecology, Evolution, Behavior and Systematics 77
- Molecular Biology 227
Countries citing papers authored by Dan‐Dan Bian
This map shows the geographic impact of Dan‐Dan Bian'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 Dan‐Dan Bian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan‐Dan Bian more than expected).
Fields of papers citing papers by Dan‐Dan Bian
This network shows the impact of papers produced by Dan‐Dan Bian. 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 Dan‐Dan Bian. The network helps show where Dan‐Dan Bian may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan‐Dan Bian, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 47 | |
| 2 | 2015 | 29 | |
| 3 | 2015 | 29 | |
| 4 | 2022 | 26 | |
| 5 | 2015 | 26 | |
| 6 | 2021 | 25 | |
| 7 | 2021 | 21 | |
| 8 | 2017 | 21 | |
| 9 | 2022 | 18 | |
| 10 | 2022 | 17 | |
| 11 | 2020 | 17 | |
| 12 | 2017 | 16 | |
| 13 | 2020 | 13 | |
| 14 | 2016 | 13 | |
| 15 | 2020 | 13 | |
| 16 | 2014 | 13 | |
| 17 | 2024 | 12 | |
| 18 | 2025 | 12 | |
| 19 | 2022 | 11 | |
| 20 | 2020 | 10 |
About Dan‐Dan Bian
Dan‐Dan Bian is a scholar working on Molecular Biology, Insect Science, Epidemiology, Genetics and Aquatic Science, having authored 45 papers that have together received 500 indexed citations. Recurring topics across this work include Insect Utilization and Effects (8 papers), Insect Resistance and Genetics (7 papers), Aquaculture Nutrition and Growth (7 papers), Lepidoptera: Biology and Taxonomy (7 papers), Silkworms and Sericulture Research (6 papers), Aquaculture disease management and microbiota (6 papers), Hepatitis B Virus Studies (5 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Insect Science (162 citations), Hepatology (53 citations), Genetics (136 citations), Ecology, Evolution, Behavior and Systematics (77 citations) and Molecular Biology (227 citations). Dan‐Dan Bian has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Qiu‐Ning Liu, Chun‐Lin Zhou, Bo‐Ping Tang, Xin-Yue Chai, Fanchi Li, Boping Tang, Haina Sun, Wentao Ye, Baoming Ge and Jing Wei. Their work appears in journals such as International Journal of Biological Macromolecules, Pesticide Biochemistry and Physiology, Reviews in Aquaculture, Insect Molecular Biology and Journal of Viral Hepatitis.
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.