Hei-Ti Hsu
- Plant Science top 10%
- Insect Science top 5%
- Ecology, Evolution, Behavior and Systematics top 10%
- Genetics
- Molecular Biology
- Co-authors
- Jay D. EvansYan ZhaoJohn A. HammondMark F. FeldlauferYanping ChenKathryn KamoR. JordanShyi‐Dong Yeh
- Topics
- Plant Virus Research Studies (15 papers)Transgenic Plants and Applications (6 papers)Plant tissue culture and regeneration (4 papers)
- Partner nations
- United StatesTaiwanIreland
In The Last Decade
Hei-Ti Hsu
19 papers receiving 372 citations
Peers
Comparison fields: 5 of 44
- Plant Science 210
- Insect Science 184
- Ecology, Evolution, Behavior and Systematics 130
- Genetics 128
- Molecular Biology 92
Countries citing papers authored by Hei-Ti Hsu
This map shows the geographic impact of Hei-Ti Hsu'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 Hei-Ti Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hei-Ti Hsu more than expected).
Fields of papers citing papers by Hei-Ti Hsu
This network shows the impact of papers produced by Hei-Ti Hsu. 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 Hei-Ti Hsu. The network helps show where Hei-Ti Hsu may publish in the future.
Co-authorship network of co-authors of Hei-Ti Hsu
This figure shows the co-authorship network connecting the top 25 collaborators of Hei-Ti Hsu. A scholar is included among the top collaborators of Hei-Ti Hsu 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 Hei-Ti Hsu. Hei-Ti Hsu 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 | 28 | |
| 3 | 2 | |
| 4 | 10 | |
| 5 | 13 | |
| 6 | Molecular and serological characterization of a distinct potyvirus causing latent infection in calla lilies | 6 |
| 7 | 26 | |
| 8 | 18 | |
| 9 | 21 | |
| 10 | 39 | |
| 11 | Molecular Cloning and Sequencing of Heavy and Light Chain cDNAs from Papaya ringspot and Cymbidium mosaic viruses-Specific Monoclonal Antibodies | 1 |
| 12 | 9 | |
| 13 | 166 | |
| 14 | Serological and Molecular Characterizations of a Hibiscus-infecting Tobamovirus in Taiwan | 2 |
| 15 | 19 | |
| 16 | 12 | |
| 17 | 14 | |
| 18 | 3 | |
| 19 | Assay of Potato Yellow Dwarf Virus on Leafhopper Cell Monolayers | 4 |
About Hei-Ti Hsu
Hei-Ti Hsu is a scholar working on Biotechnology, Plant Science and Animal Science and Zoology, having authored 19 papers that have together received 402 indexed citations. Recurring topics across this work include Plant Virus Research Studies (15 papers), Transgenic Plants and Applications (6 papers) and Plant tissue culture and regeneration (4 papers). The work is most often cited by research in Insect Science (184 citations), Endocrinology (75 citations) and Ecology, Evolution, Behavior and Systematics (130 citations). Hei-Ti Hsu has collaborated with scholars based in United States, Taiwan and Ireland. Frequent co-authors include Jay D. Evans, Yan Zhao, John A. Hammond, Mark F. Feldlaufer, Yanping Chen, Kathryn Kamo, R. Jordan, Shyi‐Dong Yeh, Tsung-Chi Chen and Fang‐Hua Chu. Their work appears in journals such as The Plant Cell, Journal of Immunological Methods and Phytopathology.
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.