Yan Meng
Impact in
- Insect Science top 2%
- Insect Utilization and Effects
- Silkworms and Sericulture Research
- Insect-Plant Interactions and Control
- Biomaterials top 10%
- Silk-based biomaterials and applications
Papers in
-
- Signaling Pathways in Disease 4
-
- Insect and Pesticide Research 5
- Insect symbiosis and bacterial influences 4
- Silkworms and Sericulture Research 4
- Co-authors
- Toru Shimada (8 shared papers)Susumu Katsuma (7 shared papers)Takaaki Daimon (5 shared papers)Kazuei Mita (5 shared papers)Xiaolin Wu (1 shared paper)Yuxin Sun (1 shared paper)Jiajing Li (1 shared paper)Yutaka Banno (4 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)International Journal of Molecular Sciences (3 papers)Insect Science (2 papers)Euphytica (2 papers)Insects (2 papers)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Yan Meng
46 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 105
- Insect Science 335
- Biomaterials 184
- Cellular and Molecular Neuroscience 228
- Molecular Biology 571
- Immunology 161
Countries citing papers authored by Yan Meng
This map shows the geographic impact of Yan Meng'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 Yan Meng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Meng more than expected).
Fields of papers citing papers by Yan Meng
This network shows the impact of papers produced by Yan Meng. 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 Yan Meng. The network helps show where Yan Meng may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Meng, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 142 | |
| 2 | 2008 | 112 | |
| 3 | 2010 | 104 | |
| 4 | 2020 | 97 | |
| 5 | 2008 | 93 | |
| 6 | 2013 | 80 | |
| 7 | 2005 | 67 | |
| 8 | 2009 | 50 | |
| 9 | 2018 | 45 | |
| 10 | 2023 | 30 | |
| 11 | 2009 | 30 | |
| 12 | 2018 | 23 | |
| 13 | 2013 | 22 | |
| 14 | 2016 | 21 | |
| 15 | 2018 | 18 | |
| 16 | 2022 | 16 | |
| 17 | 2018 | 14 | |
| 18 | 2018 | 12 | |
| 19 | 2016 | 12 | |
| 20 | 2015 | 11 |
About Yan Meng
Yan Meng is a scholar working on Molecular Biology, Insect Science, Immunology, Plant Science and Cellular and Molecular Neuroscience, having authored 47 papers that have together received 1.1k indexed citations. Recurring topics across this work include Invertebrate Immune Response Mechanisms (11 papers), Neurobiology and Insect Physiology Research (8 papers), Silk-based biomaterials and applications (8 papers), Insect and Pesticide Research (5 papers), Signaling Pathways in Disease (4 papers), Insect symbiosis and bacterial influences (4 papers), Silkworms and Sericulture Research (4 papers) and Insect and Arachnid Ecology and Behavior (4 papers). The work is most often cited by research in Insect Science (335 citations), Biomaterials (184 citations), Cellular and Molecular Neuroscience (228 citations), Molecular Biology (571 citations) and Immunology (161 citations). Yan Meng has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Toru Shimada, Susumu Katsuma, Takaaki Daimon, Kazuei Mita, Xiaolin Wu, Yuxin Sun, Jiajing Li, Yutaka Banno, Tomohiro Taguchi and Chikara Hirayama. Their work appears in journals such as Journal of Biological Chemistry, International Journal of Molecular Sciences, Insect Science, Euphytica and Insects.
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.