Tien‐Shang Huang
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 1%
- Pathology and Forensic Medicine top 5%
- Immunology top 10%
- Public Health, Environmental and Occupational Health top 5%
- Co-authors
- INDER J. CHOPRADavid H. SolomonJu‐Li LinSHENG-CHUNG LEEFung‐Jou LuGUADALUPE N. CHUA TECOYen‐Ho WangJun‐Jen Liu
- Topics
- Thyroid Disorders and Treatments (18 papers)Growth Hormone and Insulin-like Growth Factors (15 papers)Pituitary Gland Disorders and Treatments (12 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Tien‐Shang Huang
147 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 176
- Molecular Biology 933
- Endocrinology, Diabetes and Metabolism 843
- Pathology and Forensic Medicine 396
- Immunology 357
- Public Health, Environmental and Occupational Health 346
Countries citing papers authored by Tien‐Shang Huang
This map shows the geographic impact of Tien‐Shang Huang'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 Tien‐Shang Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tien‐Shang Huang more than expected).
Fields of papers citing papers by Tien‐Shang Huang
This network shows the impact of papers produced by Tien‐Shang Huang. 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 Tien‐Shang Huang. The network helps show where Tien‐Shang Huang may publish in the future.
Co-authorship network of co-authors of Tien‐Shang Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Tien‐Shang Huang. A scholar is included among the top collaborators of Tien‐Shang Huang 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 Tien‐Shang Huang. Tien‐Shang Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 4 | |
| 6 | 21 | |
| 7 | 100 | |
| 8 | 13 | |
| 9 | 4 | |
| 10 | 11 | |
| 11 | 14 | |
| 12 | 18 | |
| 13 | 11 | |
| 14 | 9 | |
| 15 | 11 | |
| 16 | 28 | |
| 17 | 7 | |
| 18 | 13 | |
| 19 | 33 | |
| 20 | 32 |
About Tien‐Shang Huang
Tien‐Shang Huang is a scholar working on Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Pathology and Forensic Medicine, having authored 148 papers that have together received 3.7k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (18 papers), Growth Hormone and Insulin-like Growth Factors (15 papers) and Pituitary Gland Disorders and Treatments (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (843 citations), Molecular Medicine (173 citations) and Pathology and Forensic Medicine (396 citations). Tien‐Shang Huang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include INDER J. CHOPRA, David H. Solomon, Ju‐Li Lin, SHENG-CHUNG LEE, Fung‐Jou Lu, GUADALUPE N. CHUA TECO, Yen‐Ho Wang, Jun‐Jen Liu, Anna Aspán and Kenneth Söderhäll. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.
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.