Shaohui Wang
Impact in
- Endocrinology top 0.5%
- Escherichia coli research studies
- Vibrio bacteria research studies
- Microbiology top 1%
- Microbial infections and disease research
Papers in
-
- Escherichia coli research studies 40
- Co-authors
- Chan Ding (48 shared papers)Shengqing Yu (53 shared papers)Mingxing Tian (50 shared papers)Xiangan Han (28 shared papers)Shicui Zhang (3 shared papers)Jianjun Dai (12 shared papers)Jingjing Qi (34 shared papers)Xiaolan Wang (18 shared papers)
- Journals
- Veterinary Microbiology (10 papers)PLoS ONE (9 papers)Veterinary Research (7 papers)Frontiers in Cellular and Infection Microbiology (5 papers)Infection and Immunity (4 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Shaohui Wang
108 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 115
- Endocrinology 634
- Microbiology 399
- Molecular Medicine 320
- Small Animals 153
- Food Science 361
Countries citing papers authored by Shaohui Wang
This map shows the geographic impact of Shaohui 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 Shaohui Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaohui Wang more than expected).
Fields of papers citing papers by Shaohui Wang
This network shows the impact of papers produced by Shaohui 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 Shaohui Wang. The network helps show where Shaohui Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaohui 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 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 211 | |
| 2 | 2010 | 127 | |
| 3 | 2013 | 91 | |
| 4 | 2011 | 89 | |
| 5 | 2010 | 78 | |
| 6 | 2014 | 72 | |
| 7 | 2022 | 66 | |
| 8 | 2016 | 52 | |
| 9 | 2014 | 40 | |
| 10 | 2013 | 38 | |
| 11 | 2010 | 34 | |
| 12 | 2015 | 34 | |
| 13 | 2014 | 34 | |
| 14 | 2021 | 33 | |
| 15 | 2015 | 33 | |
| 16 | 2015 | 32 | |
| 17 | 2019 | 32 | |
| 18 | 2014 | 31 | |
| 19 | 2019 | 29 | |
| 20 | 2015 | 29 |
About Shaohui Wang
Shaohui Wang is a scholar working on Endocrinology, Molecular Biology, Food Science, Ecology and Epidemiology, having authored 112 papers that have together received 2.2k indexed citations. Recurring topics across this work include Escherichia coli research studies (40 papers), Salmonella and Campylobacter epidemiology (25 papers), Bacteriophages and microbial interactions (23 papers), Microbial infections and disease research (22 papers), Brucella: diagnosis, epidemiology, treatment (16 papers), Viral gastroenteritis research and epidemiology (9 papers), Antibiotic Resistance in Bacteria (9 papers) and Bacterial Genetics and Biotechnology (9 papers). The work is most often cited by research in Endocrinology (634 citations), Microbiology (399 citations), Molecular Medicine (320 citations), Small Animals (153 citations) and Food Science (361 citations). Shaohui Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Chan Ding, Shengqing Yu, Mingxing Tian, Xiangan Han, Shicui Zhang, Jianjun Dai, Jingjing Qi, Xiaolan Wang, Tao Li and Hongyan Li. Their work appears in journals such as Veterinary Microbiology, PLoS ONE, Veterinary Research, Frontiers in Cellular and Infection Microbiology and Infection and Immunity.
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.