Shuhong Hu
- Molecular Biology top 5%
- Cell Biology top 2%
- Physiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Cellular and Molecular Neuroscience top 10%
- Co-authors
- Jennifer L. MartinYan YangPaul F. AlewoodBruce E. KempMichael W. ParkerCatherine F. LathamDavid J. CraikXuefeng Yu
- Topics
- Cellular transport and secretion (11 papers)Lipid Membrane Structure and Behavior (6 papers)Liver Disease Diagnosis and Treatment (5 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Shuhong Hu
56 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 110
- Molecular Biology 1.6k
- Cell Biology 547
- Physiology 295
- Endocrinology, Diabetes and Metabolism 290
- Cellular and Molecular Neuroscience 257
Countries citing papers authored by Shuhong Hu
This map shows the geographic impact of Shuhong 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 Shuhong Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuhong Hu more than expected).
Fields of papers citing papers by Shuhong Hu
This network shows the impact of papers produced by Shuhong 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 Shuhong Hu. The network helps show where Shuhong Hu may publish in the future.
Co-authorship network of co-authors of Shuhong Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Shuhong Hu. A scholar is included among the top collaborators of Shuhong Hu 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 Shuhong Hu. Shuhong Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 20 | |
| 4 | 17 | |
| 5 | 12 | |
| 6 | 43 | |
| 7 | 3 | |
| 8 | 11 | |
| 9 | 22 | |
| 10 | 9 | |
| 11 | 3 | |
| 12 | 43 | |
| 13 | 86 | |
| 14 | 83 | |
| 15 | Alzheimer--like hyperphosphorylation of Tau in brains of rats with obesity and type 2 diabetes | 7 |
| 16 | 6 | |
| 17 | 60 | |
| 18 | 75 | |
| 19 | 8 | |
| 20 | 352 |
About Shuhong Hu
Shuhong Hu is a scholar working on Physiology, Cell Biology and Endocrinology, Diabetes and Metabolism, having authored 60 papers that have together received 2.5k indexed citations. Recurring topics across this work include Cellular transport and secretion (11 papers), Lipid Membrane Structure and Behavior (6 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Cell Biology (547 citations), Molecular Biology (1.6k citations) and Endocrinology, Diabetes and Metabolism (290 citations). Shuhong Hu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Jennifer L. Martin, Yan Yang, Paul F. Alewood, Bruce E. Kemp, Michael W. Parker, Catherine F. Latham, David J. Craik, Xuefeng Yu, David E. James and Robert G. Roeder. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.