Dehe Wang
Impact in
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
-
- MicroRNA in disease regulation
Papers in
-
- SARS-CoV-2 and COVID-19 Research 3
- COVID-19 Clinical Research Studies 1
-
- Calcium Carbonate Crystallization and Inhibition 1
- Co-authors
- Yu Zhou (11 shared papers)Zhidong Tang (2 shared papers)Wenjia Hu (1 shared paper)Liu Cao (1 shared paper)Yongquan Lin (1 shared paper)Yuan Liu (1 shared paper)Dong Guo (1 shared paper)Ao Jiang (1 shared paper)
- Journals
- Emerging Microbes & Infections (2 papers)Nature Communications (2 papers)Nucleic Acids Research (2 papers)Science Translational Medicine (1 paper)Nature Structural & Molecular Biology (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Dehe Wang
19 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 75
- Infectious Diseases 505
- Cancer Research 74
- Molecular Biology 196
- Immunology 55
- Plant Science 83
Countries citing papers authored by Dehe Wang
This map shows the geographic impact of Dehe 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 Dehe Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dehe Wang more than expected).
Fields of papers citing papers by Dehe Wang
This network shows the impact of papers produced by Dehe 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 Dehe Wang. The network helps show where Dehe Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Dehe 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 | 2020 | 879 | |
| 2 | 2018 | 141 | |
| 3 | 2021 | 84 | |
| 4 | 2019 | 78 | |
| 5 | 2022 | 62 | |
| 6 | 2021 | 46 | |
| 7 | 2023 | 43 | |
| 8 | 2023 | 39 | |
| 9 | 2019 | 34 | |
| 10 | 2019 | 31 | |
| 11 | 2023 | 29 | |
| 12 | 2020 | 27 | |
| 13 | 2021 | 19 | |
| 14 | 2024 | 18 | |
| 15 | 2022 | 4 | |
| 16 | 2023 | 4 | |
| 17 | 2025 | 2 | |
| 18 | Research progress on formation of translucent eggshell. | 2016 | 1 |
| 19 | 2022 | 1 |
About Dehe Wang
Dehe Wang is a scholar working on Infectious Diseases, Biomaterials, Cancer Research, Plant Science and Immunology, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), Research in Cotton Cultivation (2 papers), interferon and immune responses (1 paper), Sulfur-Based Synthesis Techniques (1 paper), COVID-19 Clinical Research Studies (1 paper), Advanced Clustering Algorithms Research (1 paper), Genomics and Phylogenetic Studies (1 paper) and Calcium Carbonate Crystallization and Inhibition (1 paper). The work is most often cited by research in Infectious Diseases (505 citations), Cancer Research (74 citations), Molecular Biology (196 citations), Immunology (55 citations) and Plant Science (83 citations). Dehe Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yu Zhou, Zhidong Tang, Wenjia Hu, Liu Cao, Yongquan Lin, Yuan Liu, Dong Guo, Ao Jiang, Zhang Qi and Jiayi Yang. Their work appears in journals such as Emerging Microbes & Infections, Nature Communications, Nucleic Acids Research, Science Translational Medicine and Nature Structural & Molecular Biology.
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.