Hsin-Hsin Chang
- Biochemistry top 2%
- Endocrinology, Diabetes and Metabolism top 10%
- Pathology and Forensic Medicine
- Organizational Behavior and Human Resource Management top 10%
- Physiology
- Co-authors
- Ching-Sheng ChangMong-Heng WangYiqiang ZhouCong‐Yi WangEdward W. InschoChristophe MorisseauPengcheng LuoSung Hee Hwang
- Topics
- Eicosanoids and Hypertension Pharmacology (7 papers)Hormonal Regulation and Hypertension (6 papers)Nitric Oxide and Endothelin Effects (2 papers)
- Cited by
- BiochemistryEndocrinology, Diabetes and MetabolismOrganizational Behavior and Human Resource Management
- Journals
- HypertensionJournal of Pharmacology and Experimental TherapeuticsAmerican Journal of Physiology-Renal Physiology
- Partner nations
- United StatesSouth SudanChina
In The Last Decade
Hsin-Hsin Chang
9 papers receiving 362 citations
Peers
Comparison fields: 5 of 70
- Biochemistry 241
- Endocrinology, Diabetes and Metabolism 147
- Pathology and Forensic Medicine 80
- Organizational Behavior and Human Resource Management 74
- Physiology 60
Countries citing papers authored by Hsin-Hsin Chang
This map shows the geographic impact of Hsin-Hsin Chang'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 Hsin-Hsin Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsin-Hsin Chang more than expected).
Fields of papers citing papers by Hsin-Hsin Chang
This network shows the impact of papers produced by Hsin-Hsin Chang. 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 Hsin-Hsin Chang. The network helps show where Hsin-Hsin Chang may publish in the future.
Co-authorship network of co-authors of Hsin-Hsin Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Hsin-Hsin Chang. A scholar is included among the top collaborators of Hsin-Hsin Chang 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 Hsin-Hsin Chang. Hsin-Hsin Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 102 | |
| 2 | 45 | |
| 3 | 4 | |
| 4 | 85 | |
| 5 | 16 | |
| 6 | 8 | |
| 7 | 15 | |
| 8 | 45 | |
| 9 | 59 |
About Hsin-Hsin Chang
Hsin-Hsin Chang is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism and Hepatology, having authored 9 papers that have together received 379 indexed citations. Recurring topics across this work include Eicosanoids and Hypertension Pharmacology (7 papers), Hormonal Regulation and Hypertension (6 papers) and Nitric Oxide and Endothelin Effects (2 papers). The work is most often cited by research in Biochemistry (241 citations), Endocrinology, Diabetes and Metabolism (147 citations) and Organizational Behavior and Human Resource Management (74 citations). Hsin-Hsin Chang has collaborated with scholars based in United States, South Sudan and China. Frequent co-authors include Ching-Sheng Chang, Mong-Heng Wang, Yiqiang Zhou, Cong‐Yi Wang, Edward W. Inscho, Christophe Morisseau, Pengcheng Luo, Sung Hee Hwang, Shali Zhang and Bruce D. Hammock. Their work appears in journals such as Hypertension, Journal of Pharmacology and Experimental Therapeutics and American Journal of Physiology-Renal Physiology.
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.