Suhua Shi
- Ecology top 0.5%
- Coastal wetland ecosystem dynamics 63
- Genetics top 1%
- Genetic diversity and population structure 53
- Plant Science top 1%
- Chromosomal and Genetic Variations 15
- Plant Molecular Biology Research 15
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- Plant Diversity and Evolution 26
- Oceanography top 2%
- Marine and coastal plant biology 24
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- Plant and Fungal Species Descriptions 51
- Genomics and Phylogenetic Studies 34
- Cited by
- EcologyGeneticsPlant Science
- Journals
- Nature (1 paper)Science (1 paper)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Suhua Shi
181 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Ecology 2.0k
- Genetics 1.7k
- Plant Science 2.1k
- Ecology, Evolution, Behavior and Systematics 1.0k
- Oceanography 487
Countries citing papers authored by Suhua Shi
This map shows the geographic impact of Suhua Shi'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 Suhua Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suhua Shi more than expected).
Fields of papers citing papers by Suhua Shi
This network shows the impact of papers produced by Suhua Shi. 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 Suhua Shi. The network helps show where Suhua Shi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Suhua Shi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 25 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 50 | |
| 6 | 2023 | 12 | |
| 7 | 2021 | 40 | |
| 8 | 2021 | 13 | |
| 9 | 2018 | 95 | |
| 10 | MOLECULAR EVIDENCE FOR NATURAL HYBRIDIZATION IN THE MANGROVE GENUS AVICENNIA | 2014 | 7 |
| 11 | 2014 | 43 | |
| 12 | 2012 | 18 | |
| 13 | 2009 | 6 | |
| 14 | 2008 | 22 | |
| 15 | 2008 | 22 | |
| 16 | 2006 | 260 | |
| 17 | 2004 | 5 | |
| 18 | 2002 | 8 | |
| 19 | Relationship between Camellia nitidissima Chi and C. petelotii (Merr.) Sealy based on nrDNA ITS | 2001 | 2 |
| 20 | Study on carrageenan from Grateloupia filicina, Grateloupia filicina var. Lomentaria and Pachymeniopsis elliptica. | 1996 | 1 |
About Suhua Shi
Suhua Shi is a scholar working on Ecology, Genetics and Ecology, Evolution, Behavior and Systematics, having authored 186 papers that have together received 6.2k indexed citations. Recurring topics across this work include Coastal wetland ecosystem dynamics (63 papers), Genetic diversity and population structure (53 papers), Plant and Fungal Species Descriptions (51 papers), Genomics and Phylogenetic Studies (34 papers), Plant Diversity and Evolution (26 papers), Marine and coastal plant biology (24 papers), Chromosomal and Genetic Variations (15 papers) and Plant Molecular Biology Research (15 papers). The work is most often cited by research in Ecology (2.0k citations), Genetics (1.7k citations) and Plant Science (2.1k citations). Suhua Shi has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Chung‐I Wu, Yelin Huang, Tian Tang, Yang Shen, Ziwen He, Ming Wen, Renchao Zhou, Kai Zeng, Chung-I Wu and Cairong Zhong. 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.