Dehe Wang
Impact in
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Neurology top 5%
- Long-Term Effects of COVID-19
Papers in
-
- Genomics and Phylogenetic Studies 2
- RNA Research and Splicing 2
- RNA and protein synthesis mechanisms 2
- RNA Interference and Gene Delivery 2
-
- Catalytic C–H Functionalization Methods 3
- Sulfur-Based Synthesis Techniques 3
- Co-authors
- Yu Zhou (10 shared papers)Zhidong Tang (3 shared papers)Yuan Liu (2 shared papers)Liu Cao (2 shared papers)Dong Guo (2 shared papers)Mǎng Shī (2 shared papers)Yingle Liu (2 shared papers)Ming Guo (2 shared papers)
- Journals
- Nature Communications (2 papers)Nucleic Acids Research (2 papers)Autophagy (1 paper)ACS Omega (1 paper)Emerging Microbes & Infections (1 paper)
- Partner nations
- ChinaUnited StatesBelgium
In The Last Decade
Dehe Wang
14 papers receiving 1.2k citations
Dehe Wang's Hit Papers
Peers
Comparison fields: 5 of 129
- Infectious Diseases 601
- Neurology 285
- Immunology 228
- Cancer Research 129
- Molecular Biology 439
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 | Transcriptomic characteristics of bronchoalveolar lavage fluid and peripheral blood mononuclear cells in COVID-19 patients Hit paper breakdown → | 2020 | 782 |
| 2 | 2018 | 131 | |
| 3 | 2019 | 65 | |
| 4 | 2022 | 49 | |
| 5 | 2021 | 39 | |
| 6 | 2023 | 34 | |
| 7 | 2020 | 32 | |
| 8 | 2019 | 31 | |
| 9 | 2019 | 26 | |
| 10 | 2021 | 19 | |
| 11 | 2022 | 4 | |
| 12 | 2023 | 3 | |
| 13 | Research progress on formation of translucent eggshell. | 2016 | 1 |
| 14 | 2022 | 1 | |
| 15 | 2025 | 0 |
About Dehe Wang
Dehe Wang is a scholar working on Molecular Biology, Organic Chemistry, Plant Science, Epidemiology and Infectious Diseases, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include Catalytic C–H Functionalization Methods (3 papers), Sulfur-Based Synthesis Techniques (3 papers), Genomics and Phylogenetic Studies (2 papers), Research in Cotton Cultivation (2 papers), RNA Research and Splicing (2 papers), RNA and protein synthesis mechanisms (2 papers), RNA Interference and Gene Delivery (2 papers) and Long-Term Effects of COVID-19 (1 paper). The work is most often cited by research in Infectious Diseases (601 citations), Neurology (285 citations), Immunology (228 citations), Cancer Research (129 citations) and Molecular Biology (439 citations). Dehe Wang has collaborated with scholars based in China, United States and Belgium. Frequent co-authors include Yu Zhou, Zhidong Tang, Yuan Liu, Liu Cao, Dong Guo, Mǎng Shī, Yingle Liu, Ming Guo, Wenjia Hu and Yong Xiong. Their work appears in journals such as Nature Communications, Nucleic Acids Research, Autophagy, ACS Omega and Emerging Microbes & Infections.
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.