Guoxia Han
- Endocrine and Autonomic Systems top 5%
- Nutrition and Dietetics top 5%
- Molecular Biology
- Organic Chemistry
- Cell Biology
- Co-authors
- Victor J. HrubyMakoto TamakiPaolo GriecoDev TrivediMalcolm J. KavaranaMinying CaiJinfa YingRobert A. Steiner
- Topics
- Regulation of Appetite and Obesity (9 papers)Biochemical Analysis and Sensing Techniques (8 papers)melanin and skin pigmentation (6 papers)
- Journals
- Biochemical and Biophysical Research CommunicationsAnnals of the New York Academy of SciencesJournal of Medicinal Chemistry
- Partner nations
- United StatesChinaItaly
In The Last Decade
Guoxia Han
20 papers receiving 452 citations
Peers
Comparison fields: 5 of 80
- Endocrine and Autonomic Systems 225
- Nutrition and Dietetics 210
- Molecular Biology 188
- Organic Chemistry 104
- Cell Biology 88
Countries citing papers authored by Guoxia Han
This map shows the geographic impact of Guoxia Han'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 Guoxia Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoxia Han more than expected).
Fields of papers citing papers by Guoxia Han
This network shows the impact of papers produced by Guoxia Han. 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 Guoxia Han. The network helps show where Guoxia Han may publish in the future.
Co-authorship network of co-authors of Guoxia Han
This figure shows the co-authorship network connecting the top 25 collaborators of Guoxia Han. A scholar is included among the top collaborators of Guoxia Han 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 Guoxia Han. Guoxia Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | Phenotype Recognition by Curvelet Transform and Random Subspace Ensemble | 4 |
| 8 | 37 | |
| 9 | 10 | |
| 10 | 20 | |
| 11 | 22 | |
| 12 | 46 | |
| 13 | 50 | |
| 14 | 41 | |
| 15 | 7 | |
| 16 | 59 | |
| 17 | 19 | |
| 18 | 34 | |
| 19 | 76 | |
| 20 | 5 |
About Guoxia Han
Guoxia Han is a scholar working on Endocrine and Autonomic Systems, Nutrition and Dietetics and Media Technology, having authored 20 papers that have together received 456 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (9 papers), Biochemical Analysis and Sensing Techniques (8 papers) and melanin and skin pigmentation (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (225 citations), Nutrition and Dietetics (210 citations) and Cell Biology (88 citations). Guoxia Han has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Victor J. Hruby, Makoto Tamaki, Paolo Grieco, Dev Trivedi, Malcolm J. Kavarana, Minying Cai, Jinfa Ying, Robert A. Steiner, John G. Hohmann and Donald K. Clifton. Their work appears in journals such as Biochemical and Biophysical Research Communications, Annals of the New York Academy of Sciences and Journal of Medicinal Chemistry.
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.