Xiaoru Wang
Impact in
- Analytical Chemistry top 0.5%
- Analytical chemistry methods development
- Ecological Modeling top 5%
Papers in
-
- Genomics and Phylogenetic Studies 17
- Genetics 40
- Genetic diversity and population structure 36
- Co-authors
- Huanghao Yang (12 shared papers)Qing‐Yin Zeng (18 shared papers)Alfred E. Szmidt (14 shared papers)Chunhua Lü (4 shared papers)Jian‐Feng Mao (23 shared papers)Wenhui Zhou (8 shared papers)Junhui Chen (21 shared papers)Wei Zhao (28 shared papers)
In The Last Decade
Xiaoru Wang
213 papers receiving 5.9k citations
Peers
Comparison fields: 5 of 157
- Analytical Chemistry 607
- Ecological Modeling 190
- Endocrinology 190
- Molecular Biology 2.5k
- Nature and Landscape Conservation 437
Countries citing papers authored by Xiaoru Wang
This map shows the geographic impact of Xiaoru 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 Xiaoru Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoru Wang more than expected).
Fields of papers citing papers by Xiaoru Wang
This network shows the impact of papers produced by Xiaoru 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 Xiaoru Wang. The network helps show where Xiaoru Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoru 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 218 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 260 | |
| 2 | 2009 | 248 | |
| 3 | 2009 | 185 | |
| 4 | 2007 | 179 | |
| 5 | 2008 | 148 | |
| 6 | 2010 | 142 | |
| 7 | 2011 | 116 | |
| 8 | 2015 | 98 | |
| 9 | 2009 | 95 | |
| 10 | 2016 | 88 | |
| 11 | 2009 | 83 | |
| 12 | 2003 | 82 | |
| 13 | 2008 | 81 | |
| 14 | 2011 | 76 | |
| 15 | 2016 | 75 | |
| 16 | 2011 | 73 | |
| 17 | 1994 | 73 | |
| 18 | 2006 | 72 | |
| 19 | 2005 | 69 | |
| 20 | 2019 | 68 |
About Xiaoru Wang
Xiaoru Wang is a scholar working on Molecular Biology, Genetics, Plant Science, Ecology, Evolution, Behavior and Systematics and Nature and Landscape Conservation, having authored 218 papers that have together received 6.1k indexed citations. Recurring topics across this work include Genetic diversity and population structure (36 papers), Genomics and Phylogenetic Studies (17 papers), Ecology and Vegetation Dynamics Studies (17 papers), Plant and animal studies (17 papers), Aquaculture disease management and microbiota (16 papers), Vibrio bacteria research studies (14 papers), Plant Pathogens and Fungal Diseases (12 papers) and Marine Toxins and Detection Methods (11 papers). The work is most often cited by research in Analytical Chemistry (607 citations), Ecological Modeling (190 citations), Endocrinology (190 citations), Molecular Biology (2.5k citations) and Nature and Landscape Conservation (437 citations). Xiaoru Wang has collaborated with scholars based in China, Sweden and Japan. Frequent co-authors include Huanghao Yang, Qing‐Yin Zeng, Alfred E. Szmidt, Chunhua Lü, Jian‐Feng Mao, Wenhui Zhou, Junhui Chen, Wei Zhao, Zhu Chun-ling and Xiuchun Guo. Their work appears in journals such as PLoS ONE, Scientific Reports, Analytica Chimica Acta, Fish & Shellfish Immunology and Scandinavian Journal of Forest Research.
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.