Guang Wang
Impact in
-
- Renin-Angiotensin System Studies
- Insect Science top 10%
Papers in
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- Invertebrate Immune Response Mechanisms 4
- Immune Cell Function and Interaction 2
- Co-authors
- Yan Zhu (1 shared paper)David P. Siderovski (1 shared paper)Scott P. Heximer (1 shared paper)Richard H. Karas (1 shared paper)Kendall Blumer (1 shared paper)Mary H.Y. Tang (1 shared paper)Michael E. Mendelsohn (1 shared paper)Kevin M. Kaltenbronn (1 shared paper)
- Journals
- International Journal of Molecular Sciences (2 papers)iScience (1 paper)Nature Medicine (1 paper)International Journal of Biological Macromolecules (1 paper)Applied Energy (1 paper)
- Partner nations
- ChinaUnited StatesLithuania
In The Last Decade
Guang Wang
20 papers receiving 565 citations
Peers
Comparison fields: 5 of 113
- Cardiology and Cardiovascular Medicine 110
- Insect Science 55
- Molecular Biology 306
- Physiology 113
- Immunology 68
Countries citing papers authored by Guang Wang
This map shows the geographic impact of Guang 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 Guang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guang Wang more than expected).
Fields of papers citing papers by Guang Wang
This network shows the impact of papers produced by Guang 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 Guang Wang. The network helps show where Guang Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Guang 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
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 317 | |
| 2 | 2023 | 35 | |
| 3 | 2016 | 33 | |
| 4 | 2021 | 31 | |
| 5 | 2011 | 27 | |
| 6 | 2019 | 26 | |
| 7 | 2022 | 24 | |
| 8 | 2020 | 23 | |
| 9 | 2021 | 16 | |
| 10 | 2023 | 11 | |
| 11 | 2022 | 9 | |
| 12 | 2021 | 8 | |
| 13 | 2020 | 7 | |
| 14 | 2023 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2023 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2016 | 1 | |
| 20 | 2021 | 1 |
About Guang Wang
Guang Wang is a scholar working on Immunology, Molecular Biology, Insect Science, Biomaterials and Genetics, having authored 20 papers that have together received 581 indexed citations. Recurring topics across this work include Insect Utilization and Effects (5 papers), Invertebrate Immune Response Mechanisms (4 papers), Silkworms and Sericulture Research (3 papers), Silk-based biomaterials and applications (3 papers), Mesenchymal stem cell research (2 papers), Insect-Plant Interactions and Control (2 papers), Immune Cell Function and Interaction (2 papers) and Neurobiology and Insect Physiology Research (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (110 citations), Insect Science (55 citations), Molecular Biology (306 citations), Physiology (113 citations) and Immunology (68 citations). Guang Wang has collaborated with scholars based in China, United States and Lithuania. Frequent co-authors include Yan Zhu, David P. Siderovski, Scott P. Heximer, Richard H. Karas, Kendall Blumer, Mary H.Y. Tang, Michael E. Mendelsohn, Kevin M. Kaltenbronn, Ping Lu and Mark Aronovitz. Their work appears in journals such as International Journal of Molecular Sciences, iScience, Nature Medicine, International Journal of Biological Macromolecules and Applied Energy.
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.