Chenhui Wang
Impact in
- Aging top 10%
- Immunology top 10%
- Invertebrate Immune Response Mechanisms
Papers in
-
- CRISPR and Genetic Engineering 3
- Immunology 11
- Invertebrate Immune Response Mechanisms 11
- Co-authors
- Robert A. Lamb (2 shared papers)Lawrence H. Pinto (2 shared papers)Kaoru Takeuchi (1 shared paper)Rongwen Xi (9 shared papers)Na Xu (3 shared papers)Xingting Guo (4 shared papers)Allan C. Spradling (3 shared papers)Pin‐I Huang (2 shared papers)
- Journals
- Nature Communications (2 papers)Cell Reports (2 papers)Developmental Biology (2 papers)Cancer Research (2 papers)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Chenhui Wang
23 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 94
- Aging 31
- Immunology 278
- Epidemiology 376
- Cellular and Molecular Neuroscience 177
- Insect Science 106
Countries citing papers authored by Chenhui Wang
This map shows the geographic impact of Chenhui Wang'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 Chenhui Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chenhui Wang more than expected).
Fields of papers citing papers by Chenhui Wang
This network shows the impact of papers produced by Chenhui Wang. 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 Chenhui Wang. The network helps show where Chenhui Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chenhui Wang, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 405 | |
| 2 | 1995 | 229 | |
| 3 | 2018 | 78 | |
| 4 | 2013 | 64 | |
| 5 | 2013 | 39 | |
| 6 | 2023 | 37 | |
| 7 | 2015 | 34 | |
| 8 | 2014 | 31 | |
| 9 | 2020 | 27 | |
| 10 | 2020 | 18 | |
| 11 | 2017 | 14 | |
| 12 | 2022 | 14 | |
| 13 | 1996 | 13 | |
| 14 | 2023 | 9 | |
| 15 | 2020 | 7 | |
| 16 | 2024 | 7 | |
| 17 | 2018 | 7 | |
| 18 | 2024 | 6 | |
| 19 | 2022 | 2 | |
| 20 | 2015 | 2 |
About Chenhui Wang
Chenhui Wang is a scholar working on Molecular Biology, Immunology, Cellular and Molecular Neuroscience, Genetics and Insect Science, having authored 23 papers that have together received 1.0k indexed citations. Recurring topics across this work include Invertebrate Immune Response Mechanisms (11 papers), Neurobiology and Insect Physiology Research (8 papers), CRISPR and Genetic Engineering (3 papers), Animal Genetics and Reproduction (3 papers), Probiotics and Fermented Foods (2 papers), Insect Utilization and Effects (2 papers), Insect symbiosis and bacterial influences (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Aging (31 citations), Immunology (278 citations), Epidemiology (376 citations), Cellular and Molecular Neuroscience (177 citations) and Insect Science (106 citations). Chenhui Wang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Robert A. Lamb, Lawrence H. Pinto, Kaoru Takeuchi, Rongwen Xi, Na Xu, Xingting Guo, Allan C. Spradling, Pin‐I Huang, Huanwei Huang and Tao Cai. Their work appears in journals such as Nature Communications, Cell Reports, Developmental Biology, Cancer Research and Scientific Reports.
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.