Shaohui Wang
Impact in
- Endocrinology top 0.5%
- Escherichia coli research studies
- Vibrio bacteria research studies
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
Papers in
-
- Escherichia coli research studies 39
- Vibrio bacteria research studies 9
-
- RNA and protein synthesis mechanisms 10
- Co-authors
- Shengqing Yu (53 shared papers)Chan Ding (48 shared papers)Mingxing Tian (49 shared papers)Xiangan Han (28 shared papers)Shicui Zhang (3 shared papers)Jianjun Dai (12 shared papers)Jingjing Qi (33 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 StatesAlgeria
In The Last Decade
Shaohui Wang
107 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 116
- Endocrinology 636
- Molecular Medicine 322
- Microbiology 393
- Food Science 368
- Small Animals 146
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 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 209 | |
| 2 | 2010 | 124 | |
| 3 | 2013 | 91 | |
| 4 | 2011 | 88 | |
| 5 | 2010 | 77 | |
| 6 | 2014 | 72 | |
| 7 | 2022 | 61 | |
| 8 | 2016 | 51 | |
| 9 | 2014 | 40 | |
| 10 | 2013 | 37 | |
| 11 | 2015 | 34 | |
| 12 | 2010 | 34 | |
| 13 | 2014 | 33 | |
| 14 | 2015 | 32 | |
| 15 | 2015 | 32 | |
| 16 | 2019 | 31 | |
| 17 | 2014 | 30 | |
| 18 | 2015 | 29 | |
| 19 | 2021 | 28 | |
| 20 | 2015 | 28 |
About Shaohui Wang
Shaohui Wang is a scholar working on Endocrinology, Molecular Biology, Ecology, Food Science and Epidemiology, having authored 110 papers that have together received 2.1k indexed citations. Recurring topics across this work include Escherichia coli research studies (39 papers), Bacteriophages and microbial interactions (27 papers), Salmonella and Campylobacter epidemiology (24 papers), Microbial infections and disease research (22 papers), Brucella: diagnosis, epidemiology, treatment (16 papers), Viral gastroenteritis research and epidemiology (10 papers), RNA and protein synthesis mechanisms (10 papers) and Vibrio bacteria research studies (9 papers). The work is most often cited by research in Endocrinology (636 citations), Molecular Medicine (322 citations), Microbiology (393 citations), Food Science (368 citations) and Small Animals (146 citations). Shaohui Wang has collaborated with scholars based in China, United States and Algeria. Frequent co-authors include Shengqing Yu, Chan Ding, 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.