Shoukui Hu
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
-
- Genomics and Phylogenetic Studies 8
- Bacterial biofilms and quorum sensing 3
- Advanced biosensing and bioanalysis techniques 3
- Co-authors
- Jianguo Xu (10 shared papers)Dong Jin (11 shared papers)Lina Niu (15 shared papers)Changyun Ye (9 shared papers)Yi Wang (7 shared papers)Ruiting Lan (5 shared papers)Yi‐Ting Wang (5 shared papers)Fan Zhao (9 shared papers)
In The Last Decade
Shoukui Hu
36 papers receiving 536 citations
Peers
Comparison fields: 5 of 85
- Endocrinology 83
- Molecular Medicine 66
- Microbiology 44
- Microbiology 5
- Clinical Biochemistry 44
Countries citing papers authored by Shoukui Hu
This map shows the geographic impact of Shoukui Hu'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 Shoukui Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shoukui Hu more than expected).
Fields of papers citing papers by Shoukui Hu
This network shows the impact of papers produced by Shoukui Hu. 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 Shoukui Hu. The network helps show where Shoukui Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shoukui Hu, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 71 | |
| 2 | 2015 | 39 | |
| 3 | 2018 | 32 | |
| 4 | 2019 | 32 | |
| 5 | 2016 | 31 | |
| 6 | 2018 | 27 | |
| 7 | 2022 | 26 | |
| 8 | 2015 | 24 | |
| 9 | 2019 | 22 | |
| 10 | 2014 | 19 | |
| 11 | 2015 | 17 | |
| 12 | 2012 | 17 | |
| 13 | 2021 | 16 | |
| 14 | 2016 | 16 | |
| 15 | 2021 | 15 | |
| 16 | 2016 | 14 | |
| 17 | 2016 | 14 | |
| 18 | 1983 | 13 | |
| 19 | 2018 | 12 | |
| 20 | 2021 | 12 |
About Shoukui Hu
Shoukui Hu is a scholar working on Molecular Biology, Infectious Diseases, Biomedical Engineering, Epidemiology and Microbiology, having authored 37 papers that have together received 542 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Biosensors and Analytical Detection (8 papers), Microbial infections and disease research (4 papers), Bacterial biofilms and quorum sensing (3 papers), Helicobacter pylori-related gastroenterology studies (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Infective Endocarditis Diagnosis and Management (3 papers) and Streptococcal Infections and Treatments (3 papers). The work is most often cited by research in Endocrinology (83 citations), Molecular Medicine (66 citations), Microbiology (44 citations), Microbiology (5 citations) and Clinical Biochemistry (44 citations). Shoukui Hu has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Jianguo Xu, Dong Jin, Lina Niu, Changyun Ye, Yi Wang, Ruiting Lan, Yi‐Ting Wang, Fan Zhao, Jun Yin and Yan Wang. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Frontiers in Microbiology, European Food Research and Technology, Scientific Reports and Helicobacter.
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.