Hongxiang Hui
- Endocrinology, Diabetes and Metabolism top 0.5%
- Surgery top 2%
- Molecular Biology top 10%
- Genetics top 5%
- Physiology top 10%
- Co-authors
- Riccardo PerfettiAngela BulottaLoredana FarillaXiaoning ZhaoUmberto Di MarioCorine BertolottoVay Liang W. GoChris Wright
- Topics
- Pancreatic function and diabetes (26 papers)Diabetes Management and Research (11 papers)Diabetes Treatment and Management (11 papers)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Hongxiang Hui
51 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 105
- Endocrinology, Diabetes and Metabolism 1.5k
- Surgery 1.4k
- Molecular Biology 1.1k
- Genetics 472
- Physiology 242
Countries citing papers authored by Hongxiang Hui
This map shows the geographic impact of Hongxiang Hui'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 Hongxiang Hui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongxiang Hui more than expected).
Fields of papers citing papers by Hongxiang Hui
This network shows the impact of papers produced by Hongxiang Hui. 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 Hongxiang Hui. The network helps show where Hongxiang Hui may publish in the future.
Co-authorship network of co-authors of Hongxiang Hui
This figure shows the co-authorship network connecting the top 25 collaborators of Hongxiang Hui. A scholar is included among the top collaborators of Hongxiang Hui based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hongxiang Hui. Hongxiang Hui is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 68 | |
| 2 | 6 | |
| 3 | 94 | |
| 4 | Alterations in fecal lactobacillus and bifidobacterium species are associated with differences in cholesterol metabolism in type 2 diabetic patients | 1 |
| 5 | 15 | |
| 6 | 58 | |
| 7 | 12 | |
| 8 | 14 | |
| 9 | 75 | |
| 10 | 25 | |
| 11 | 13 | |
| 12 | 57 | |
| 13 | 167 | |
| 14 | 113 | |
| 15 | 80 | |
| 16 | 112 | |
| 17 | 18 | |
| 18 | [Reversion of the malignant phenotype of gastric cancer by c-erbB-2 specific ribozyme]. | 1 |
| 19 | Taxol-induced apoptosis in human esophageal carcinoma cell line | 0 |
| 20 | Effects of recombinant human transforming growth factor-β 1 or/and interleukin-6 on growth inhibition and proto-oncogene c-myc expression in human leukemia cells | 1 |
About Hongxiang Hui
Hongxiang Hui is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Applied Microbiology and Biotechnology, having authored 52 papers that have together received 2.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (26 papers), Diabetes Management and Research (11 papers) and Diabetes Treatment and Management (11 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.5k citations), Surgery (1.4k citations) and Genetics (472 citations). Hongxiang Hui has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Riccardo Perfetti, Angela Bulotta, Loredana Farilla, Xiaoning Zhao, Umberto Di Mario, Corine Bertolotto, Vay Liang W. Go, Chris Wright, Elizabeth M. Kang and George Tang. Their work appears in journals such as Cancer Research, Diabetes and Biochemical and Biophysical Research Communications.
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.