Rong-Hong Hua
- Infectious Diseases top 5%
- Epidemiology top 10%
- Public Health, Environmental and Occupational Health top 10%
- Agronomy and Crop Science top 5%
- Molecular Biology
- Co-authors
- Guangzhi TongZhigao BuTianqiang LiuHai YuYanjun ZhouZhi‐Jun TianCheng‐Feng QinTianchao Wei
- Topics
- Mosquito-borne diseases and control (18 papers)Viral Infections and Vectors (14 papers)SARS-CoV-2 and COVID-19 Research (10 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Rong-Hong Hua
47 papers receiving 802 citations
Peers
Comparison fields: 5 of 68
- Infectious Diseases 450
- Epidemiology 294
- Public Health, Environmental and Occupational Health 246
- Agronomy and Crop Science 224
- Molecular Biology 157
Countries citing papers authored by Rong-Hong Hua
This map shows the geographic impact of Rong-Hong Hua'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 Rong-Hong Hua with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rong-Hong Hua more than expected).
Fields of papers citing papers by Rong-Hong Hua
This network shows the impact of papers produced by Rong-Hong Hua. 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 Rong-Hong Hua. The network helps show where Rong-Hong Hua may publish in the future.
Co-authorship network of co-authors of Rong-Hong Hua
This figure shows the co-authorship network connecting the top 25 collaborators of Rong-Hong Hua. A scholar is included among the top collaborators of Rong-Hong Hua based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rong-Hong Hua. Rong-Hong Hua is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 8 | |
| 8 | 20 | |
| 9 | 17 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 24 | |
| 13 | 25 | |
| 14 | Establishment of cell line stably expressing NS1 protein of Japanese encephalitis virus | 1 |
| 15 | 70 | |
| 16 | 52 | |
| 17 | 2 | |
| 18 | 4 | |
| 19 | Expression and antigenic epitopes mapping of receptor binding domain on the spike protein of severe acute respiratory syndrome coronavirus | 4 |
| 20 | 13 |
About Rong-Hong Hua
Rong-Hong Hua is a scholar working on Infectious Diseases, Agronomy and Crop Science and Public Health, Environmental and Occupational Health, having authored 49 papers that have together received 817 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (18 papers), Viral Infections and Vectors (14 papers) and SARS-CoV-2 and COVID-19 Research (10 papers). The work is most often cited by research in Infectious Diseases (450 citations), Agronomy and Crop Science (224 citations) and Animal Science and Zoology (107 citations). Rong-Hong Hua has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Guangzhi Tong, Zhigao Bu, Tianqiang Liu, Hai Yu, Yanjun Zhou, Zhi‐Jun Tian, Cheng‐Feng Qin, Tianchao Wei, Qiang Zhang and Ming Liao. Their work appears in journals such as Nature Communications, PLoS ONE and Journal of Virology.
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.