Shi Wang
Impact in
- Aquatic Science top 0.2%
- Aquaculture Nutrition and Growth
- Physiology top 1%
Papers in
-
- Genomics and Phylogenetic Studies 32
- Genetics 73
- Genetic diversity and population structure 32
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 28
- Co-authors
- Zhenmin Bao (120 shared papers)Lingling Zhang (74 shared papers)Eli Meyer (5 shared papers)Mikhail V. Matz (4 shared papers)Xiaoli Hu (56 shared papers)John McKay (1 shared paper)Jingjie Hu (34 shared papers)Jie Cheng (8 shared papers)
- Journals
- Aquaculture (35 papers)PLoS ONE (18 papers)Marine Biotechnology (13 papers)Fish & Shellfish Immunology (8 papers)BMC Genomics (8 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Shi Wang
275 papers receiving 6.8k citations
Shi Wang's Hit Papers
Peers
Comparison fields: 5 of 165
- Aquatic Science 1.1k
- Physiology 305
- Aging 97
- Genetics 1.5k
- Global and Planetary Change 1.1k
Countries citing papers authored by Shi Wang
This map shows the geographic impact of Shi Wang'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 Shi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shi Wang more than expected).
Fields of papers citing papers by Shi Wang
This network shows the impact of papers produced by Shi Wang. 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 Shi Wang. The network helps show where Shi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shi Wang, 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 286 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2b-RAD: a simple and flexible method for genome-wide genotyping Hit paper breakdown → | 2012 | 529 |
| 2 | 2009 | 400 | |
| 3 | 2012 | 335 | |
| 4 | 2011 | 205 | |
| 5 | 2017 | 172 | |
| 6 | 2012 | 140 | |
| 7 | 2021 | 118 | |
| 8 | 2013 | 99 | |
| 9 | 2018 | 89 | |
| 10 | 2015 | 86 | |
| 11 | 2016 | 85 | |
| 12 | 2018 | 82 | |
| 13 | 2022 | 76 | |
| 14 | 2023 | 76 | |
| 15 | 2020 | 71 | |
| 16 | 2018 | 67 | |
| 17 | 2014 | 66 | |
| 18 | 2016 | 65 | |
| 19 | 2016 | 61 | |
| 20 | 2013 | 61 |
About Shi Wang
Shi Wang is a scholar working on Molecular Biology, Genetics, Plant Science, Global and Planetary Change and Ecology, having authored 286 papers that have together received 6.9k indexed citations. Recurring topics across this work include Marine Bivalve and Aquaculture Studies (48 papers), Chromosomal and Genetic Variations (39 papers), Genetic diversity and population structure (32 papers), Genomics and Phylogenetic Studies (32 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (28 papers), Aquaculture Nutrition and Growth (27 papers), Reproductive biology and impacts on aquatic species (22 papers) and Aquaculture disease management and microbiota (21 papers). The work is most often cited by research in Aquatic Science (1.1k citations), Physiology (305 citations), Aging (97 citations), Genetics (1.5k citations) and Global and Planetary Change (1.1k citations). Shi Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhenmin Bao, Lingling Zhang, Eli Meyer, Mikhail V. Matz, Xiaoli Hu, John McKay, Jingjie Hu, Jie Cheng, Lingling Zhang and R. Adron Harris. Their work appears in journals such as Aquaculture, PLoS ONE, Marine Biotechnology, Fish & Shellfish Immunology and BMC Genomics.
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.