Lin-hua Tang
- Public Health, Environmental and Occupational Health top 2%
- Parasitology top 2%
- Infectious Diseases top 10%
- Computational Theory and Mathematics top 5%
- Pediatrics, Perinatology and Child Health top 10%
- Co-authors
- Shuisen ZhouFang HuangChang ChenYing-Dan ChenRichard FeachemHenglin YangHongju WangShaosen Zhang
- Topics
- Malaria Research and Control (34 papers)Mosquito-borne diseases and control (22 papers)Viral Infections and Vectors (7 papers)
- Journals
- The LancetNature MedicinePLoS ONE
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Lin-hua Tang
48 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 85
- Public Health, Environmental and Occupational Health 884
- Parasitology 209
- Infectious Diseases 178
- Computational Theory and Mathematics 132
- Pediatrics, Perinatology and Child Health 114
Countries citing papers authored by Lin-hua Tang
This map shows the geographic impact of Lin-hua Tang'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 Lin-hua Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin-hua Tang more than expected).
Fields of papers citing papers by Lin-hua Tang
This network shows the impact of papers produced by Lin-hua Tang. 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 Lin-hua Tang. The network helps show where Lin-hua Tang may publish in the future.
Co-authorship network of co-authors of Lin-hua Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Lin-hua Tang. A scholar is included among the top collaborators of Lin-hua Tang 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 Lin-hua Tang. Lin-hua Tang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 17 | |
| 4 | [Opportunities, Challenges and Strategies for Malaria Elimination in the Tibet Autonomous Region of China]. | 1 |
| 5 | 28 | |
| 6 | 106 | |
| 7 | 24 | |
| 8 | 148 | |
| 9 | 18 | |
| 10 | 19 | |
| 11 | 21 | |
| 12 | Reliability and validity of the SF-12 health survey among children quality of life | 1 |
| 13 | 1 | |
| 14 | 90 | |
| 15 | Oviposition response of Anopheles sinensis (Diptera: Culicidae) to three bacteria. | 1 |
| 16 | 79 | |
| 17 | 11 | |
| 18 | 18 | |
| 19 | 33 | |
| 20 | Malaria situation in the People's Republic of China in 2005. | 31 |
About Lin-hua Tang
Lin-hua Tang is a scholar working on Public Health, Environmental and Occupational Health, Parasitology and Infectious Diseases, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Malaria Research and Control (34 papers), Mosquito-borne diseases and control (22 papers) and Viral Infections and Vectors (7 papers). The work is most often cited by research in Parasitology (209 citations), Public Health, Environmental and Occupational Health (884 citations) and Infectious Diseases (178 citations). Lin-hua Tang has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Shuisen Zhou, Fang Huang, Chang Chen, Ying-Dan Chen, Richard Feachem, Henglin Yang, Hongju Wang, Shaosen Zhang, Jun Cao and Huayun Zhou. Their work appears in journals such as The Lancet, Nature Medicine and PLoS ONE.
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.