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
-
- RNA Interference and Gene Delivery 2
- RNA Research and Splicing 2
- RNA and protein synthesis mechanisms 2
- Genomics and Phylogenetic Studies 2
-
- Catalytic C–H Functionalization Methods 3
- Sulfur-Based Synthesis Techniques 3
- Co-authors
- Yu Zhou (10 shared papers)Zhidong Tang (3 shared papers)Ke Lan (2 shared papers)Yong Xiong (2 shared papers)Dong Guo (2 shared papers)Yuan Liu (2 shared papers)Ming Guo (2 shared papers)Liu Cao (2 shared papers)
- Journals
- Nucleic Acids Research (2 papers)Nature Communications (2 papers)The Journal of Organic Chemistry (1 paper)Autophagy (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Dehe Wang
14 papers receiving 1.3k citations
Dehe Wang's Hit Papers
Peers
Comparison fields: 5 of 130
- Infectious Diseases 530
- Neurology 242
- Immunology 206
- Cancer Research 130
- Molecular Biology 421
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 | 804 |
| 2 | 2018 | 138 | |
| 3 | 2019 | 69 | |
| 4 | 2022 | 57 | |
| 5 | 2021 | 43 | |
| 6 | 2023 | 37 | |
| 7 | 2019 | 33 | |
| 8 | 2020 | 32 | |
| 9 | 2019 | 28 | |
| 10 | 2021 | 20 | |
| 11 | 2022 | 4 | |
| 12 | 2023 | 4 | |
| 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 1.3k indexed citations. Recurring topics across this work include Catalytic C–H Functionalization Methods (3 papers), Sulfur-Based Synthesis Techniques (3 papers), RNA Interference and Gene Delivery (2 papers), RNA Research and Splicing (2 papers), RNA and protein synthesis mechanisms (2 papers), Research in Cotton Cultivation (2 papers), Genomics and Phylogenetic Studies (2 papers) and Advanced Clustering Algorithms Research (1 paper). The work is most often cited by research in Infectious Diseases (530 citations), Neurology (242 citations), Immunology (206 citations), Cancer Research (130 citations) and Molecular Biology (421 citations). Dehe Wang has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Yu Zhou, Zhidong Tang, Ke Lan, Yong Xiong, Dong Guo, Yuan Liu, Ming Guo, Liu Cao, Wenjia Hu and Mǎng Shī. Their work appears in journals such as Nucleic Acids Research, Nature Communications, The Journal of Organic Chemistry, Autophagy and Frontiers in Immunology.
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.