Daolong Wang
Impact in
- Genetics top 10%
- Genetic Mapping and Diversity in Plants and Animals
- Genetic and phenotypic traits in livestock
- Soil Science top 10%
- Soil Carbon and Nitrogen Dynamics
Papers in
-
- Tropical and Extratropical Cyclones Research 5
-
- Ocean Waves and Remote Sensing 7
- Oceanographic and Atmospheric Processes 4
- Co-authors
- Zhigang Guo (3 shared papers)Christopher Basten (3 shared papers)Zhanyou Xu (2 shared papers)Yan Lü (3 shared papers)Fred A. Wright (2 shared papers)Ming You (4 shared papers)Ralf Krahe (1 shared paper)Brian J. Miller (1 shared paper)
- Journals
- Theoretical and Applied Genetics (3 papers)Journal of Geographical Sciences (2 papers)PLoS ONE (2 papers)Nature Genetics (1 paper)Agricultural Systems (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Daolong Wang
35 papers receiving 815 citations
Peers
Comparison fields: 5 of 102
- Genetics 321
- Soil Science 103
- Plant Science 319
- Global and Planetary Change 121
- Cancer Research 80
Countries citing papers authored by Daolong Wang
This map shows the geographic impact of Daolong 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 Daolong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daolong Wang more than expected).
Fields of papers citing papers by Daolong Wang
This network shows the impact of papers produced by Daolong 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 Daolong Wang. The network helps show where Daolong Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Daolong 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 141 | |
| 2 | 2003 | 80 | |
| 3 | 2016 | 73 | |
| 4 | 2007 | 68 | |
| 5 | 2006 | 65 | |
| 6 | 2011 | 62 | |
| 7 | 2009 | 59 | |
| 8 | 2016 | 40 | |
| 9 | 2009 | 39 | |
| 10 | 2013 | 33 | |
| 11 | 2007 | 30 | |
| 12 | 2007 | 21 | |
| 13 | 2013 | 15 | |
| 14 | 2003 | 15 | |
| 15 | 2002 | 11 | |
| 16 | 2019 | 11 | |
| 17 | 2012 | 10 | |
| 18 | 2013 | 9 | |
| 19 | 2011 | 7 | |
| 20 | 2005 | 7 |
About Daolong Wang
Daolong Wang is a scholar working on Atmospheric Science, Oceanography, Genetics, Plant Science and Molecular Biology, having authored 39 papers that have together received 832 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (8 papers), Genetic and phenotypic traits in livestock (7 papers), Ocean Waves and Remote Sensing (7 papers), Tropical and Extratropical Cyclones Research (5 papers), Genetics and Plant Breeding (4 papers), Oceanographic and Atmospheric Processes (4 papers), Land Use and Ecosystem Services (3 papers) and Genetic Associations and Epidemiology (3 papers). The work is most often cited by research in Genetics (321 citations), Soil Science (103 citations), Plant Science (319 citations), Global and Planetary Change (121 citations) and Cancer Research (80 citations). Daolong Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhigang Guo, Christopher Basten, Zhanyou Xu, Yan Lü, Fred A. Wright, Ming You, Ralf Krahe, Brian J. Miller, Elhan S. Ersoz and Gilles Gay. Their work appears in journals such as Theoretical and Applied Genetics, Journal of Geographical Sciences, PLoS ONE, Nature Genetics and Agricultural Systems.
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.