Haibao Tang
- Plant Science top 0.05%
- Molecular Biology top 0.5%
- Genetics top 0.5%
- Ecology, Evolution, Behavior and Systematics top 0.5%
- Ecology top 5%
- Co-authors
- Andrew H. PatersonXiyin WangYupeng WangXu TanRay MingHui GuoJeremy D. DeBarryJin Huang
- Topics
- Genomics and Phylogenetic Studies (42 papers)Chromosomal and Genetic Variations (36 papers)Genetic Mapping and Diversity in Plants and Animals (14 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Haibao Tang
89 papers receiving 13.2k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Plant Science 9.2k
- Molecular Biology 8.6k
- Genetics 2.0k
- Ecology, Evolution, Behavior and Systematics 1.2k
- Ecology 486
Countries citing papers authored by Haibao Tang
This map shows the geographic impact of Haibao 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 Haibao Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haibao Tang more than expected).
Fields of papers citing papers by Haibao Tang
This network shows the impact of papers produced by Haibao 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 Haibao Tang. The network helps show where Haibao Tang may publish in the future.
Co-authorship network of co-authors of Haibao Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Haibao Tang. A scholar is included among the top collaborators of Haibao 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 Haibao Tang. Haibao 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 | 7 | |
| 2 | 3 | |
| 3 | 7 | |
| 4 | 12 | |
| 5 | 6 | |
| 6 | 80 | |
| 7 | GOATOOLS: A Python library for Gene Ontology analysesbreakdown → | 724 |
| 8 | 135 | |
| 9 | 65 | |
| 10 | 59 | |
| 11 | 33 | |
| 12 | 35 | |
| 13 | 51 | |
| 14 | PGDD: a database of gene and genome duplication in plantsbreakdown → | 483 |
| 15 | MCScanX: a toolkit for detection and evolutionary analysis of gene synteny and collinearitybreakdown → | 4776 |
| 16 | 140 | |
| 17 | 96 | |
| 18 | 185 | |
| 19 | 434 | |
| 20 | 143 |
About Haibao Tang
Haibao Tang is a scholar working on Horticulture, Plant Science and Molecular Biology, having authored 90 papers that have together received 13.4k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (42 papers), Chromosomal and Genetic Variations (36 papers) and Genetic Mapping and Diversity in Plants and Animals (14 papers). The work is most often cited by research in Plant Science (9.2k citations), Horticulture (201 citations) and Molecular Biology (8.6k citations). Haibao Tang has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Andrew H. Paterson, Xiyin Wang, Yupeng Wang, Xu Tan, Ray Ming, Hui Guo, Jeremy D. DeBarry, Jin Huang, Jessica C. Kissinger and Barry S. Marler. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.