Tao Sang
- Plant Science top 0.2%
- Genetics top 0.5%
- Molecular Biology top 2%
- Ecology, Evolution, Behavior and Systematics top 0.2%
- Cell Biology top 5%
- Co-authors
- Daniel J. CrawfordTod F. StuessySong GeChangbao LiAiling ZhouBin HanDavid C. TankHong De‐Yuan
- Topics
- Genetic Mapping and Diversity in Plants and Animals (18 papers)Genomics and Phylogenetic Studies (12 papers)GABA and Rice Research (10 papers)
- Partner nations
- ChinaUnited StatesSlovakia
In The Last Decade
Tao Sang
46 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Plant Science 4.1k
- Genetics 2.8k
- Molecular Biology 2.8k
- Ecology, Evolution, Behavior and Systematics 2.2k
- Cell Biology 346
Countries citing papers authored by Tao Sang
This map shows the geographic impact of Tao Sang'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 Tao Sang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tao Sang more than expected).
Fields of papers citing papers by Tao Sang
This network shows the impact of papers produced by Tao Sang. 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 Tao Sang. The network helps show where Tao Sang may publish in the future.
Co-authorship network of co-authors of Tao Sang
This figure shows the co-authorship network connecting the top 25 collaborators of Tao Sang. A scholar is included among the top collaborators of Tao Sang 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 Tao Sang. Tao Sang 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 | 6 | |
| 3 | 16 | |
| 4 | 204 | |
| 5 | 183 | |
| 6 | 27 | |
| 7 | High-throughput genotyping by whole-genome resequencingbreakdown → | 646 |
| 8 | 53 | |
| 9 | 69 | |
| 10 | 41 | |
| 11 | 151 | |
| 12 | Rice Domestication by Reducing Shatteringbreakdown → | 627 |
| 13 | Karyotypic Study on Paeonia anomala(Paeoniaceae) | 3 |
| 14 | 189 | |
| 15 | 37 | |
| 16 | The current taxonomy and perplexity of the genus Oryza (Poaceae) | 17 |
| 17 | 189 | |
| 18 | 79 | |
| 19 | A Review of Current Theories and Methods in Cladistics and a Cladistic Study of Twelve Lindera Species in Eastern China | 2 |
| 20 | Phylogeny and Biogeography of Paeonia (Paeoniaceae) / | 3 |
About Tao Sang
Tao Sang is a scholar working on Genetics, Agronomy and Crop Science and Plant Science, having authored 47 papers that have together received 6.3k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (18 papers), Genomics and Phylogenetic Studies (12 papers) and GABA and Rice Research (10 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (2.2k citations), Plant Science (4.1k citations) and Genetics (2.8k citations). Tao Sang has collaborated with scholars based in China, United States and Slovakia. Frequent co-authors include Daniel J. Crawford, Tod F. Stuessy, Song Ge, Changbao Li, Ailing Zhou, Bin Han, David C. Tank, Hong De‐Yuan, Zhong Yang and Bao‐Rong Lu. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Applied Physics Letters.
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.