Jia-Hong Tang
Impact in
- Speech and Hearing top 10%
- Noise Effects and Management
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- Insect and Pesticide Research
Papers in
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- Data-Driven Disease Surveillance 3
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- T-cell and B-cell Immunology 2
- Co-authors
- Ta‐Chien Chan (13 shared papers)Jing‐Shiang Hwang (3 shared papers)Jinyuan Huang (1 shared paper)Mika Shigematsu (2 shared papers)Chen Zhao (5 shared papers)Shuai Yang (5 shared papers)Hanhong Xu (5 shared papers)Chang‐Chun D. Lee (1 shared paper)
In The Last Decade
Jia-Hong Tang
29 papers receiving 343 citations
Peers
Comparison fields: 5 of 102
- Speech and Hearing 24
- Insect Science 31
- Modeling and Simulation 11
- Health, Toxicology and Mutagenesis 27
- Immunology 37
Countries citing papers authored by Jia-Hong Tang
This map shows the geographic impact of Jia-Hong 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 Jia-Hong Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jia-Hong Tang more than expected).
Fields of papers citing papers by Jia-Hong Tang
This network shows the impact of papers produced by Jia-Hong 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 Jia-Hong Tang. The network helps show where Jia-Hong Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jia-Hong Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 43 | |
| 2 | 2015 | 37 | |
| 3 | 2017 | 31 | |
| 4 | 2023 | 28 | |
| 5 | 2022 | 24 | |
| 6 | 2019 | 20 | |
| 7 | 2017 | 20 | |
| 8 | 2022 | 15 | |
| 9 | 2024 | 15 | |
| 10 | 2019 | 14 | |
| 11 | 2022 | 10 | |
| 12 | 2020 | 10 | |
| 13 | 2015 | 9 | |
| 14 | 2016 | 9 | |
| 15 | 2023 | 8 | |
| 16 | 2022 | 7 | |
| 17 | Detection of FLT3 gene and FLT3/ITD mutation by polymerase chain reaction-single-strand conformation polymorphism in patients with acute lymphoblastic leukemia. | 2005 | 7 |
| 18 | 2023 | 7 | |
| 19 | 2015 | 7 | |
| 20 | 2024 | 6 |
About Jia-Hong Tang
Jia-Hong Tang is a scholar working on Epidemiology, Immunology, Insect Science, Plant Science and Health, Toxicology and Mutagenesis, having authored 31 papers that have together received 350 indexed citations. Recurring topics across this work include Insect and Pesticide Research (5 papers), Insect-Plant Interactions and Control (4 papers), Noise Effects and Management (3 papers), Insect Pest Control Strategies (3 papers), Data-Driven Disease Surveillance (3 papers), Ferroptosis and cancer prognosis (2 papers), T-cell and B-cell Immunology (2 papers) and Insect Resistance and Genetics (2 papers). The work is most often cited by research in Speech and Hearing (24 citations), Insect Science (31 citations), Modeling and Simulation (11 citations), Health, Toxicology and Mutagenesis (27 citations) and Immunology (37 citations). Jia-Hong Tang has collaborated with scholars based in China, Taiwan and Japan. Frequent co-authors include Ta‐Chien Chan, Jing‐Shiang Hwang, Jinyuan Huang, Mika Shigematsu, Chen Zhao, Shuai Yang, Hanhong Xu, Chang‐Chun D. Lee, Yu‐Ting Lee and Benjie Li. Their work appears in journals such as PLoS ONE, Journal of Agricultural and Food Chemistry, Tumor Biology, Scientific Reports and Nature Communications.
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.