Li‐Shin Huang
- Molecular Biology top 10%
- Endocrinology, Diabetes and Metabolism top 2%
- Surgery top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Epidemiology top 5%
- Co-authors
- Ira J. GoldbergHenry N. GinsbergJan L. BreslowPaul W. SternbergPhoebe TzouEdward A. FisherYunying HuJ L Breslow
- Topics
- Peroxisome Proliferator-Activated Receptors (14 papers)Lipid metabolism and biosynthesis (10 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers)
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesNucleic Acids Research
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Li‐Shin Huang
39 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Molecular Biology 1.2k
- Endocrinology, Diabetes and Metabolism 723
- Surgery 662
- Cardiology and Cardiovascular Medicine 567
- Epidemiology 552
Countries citing papers authored by Li‐Shin Huang
This map shows the geographic impact of Li‐Shin 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 Li‐Shin Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li‐Shin Huang more than expected).
Fields of papers citing papers by Li‐Shin Huang
This network shows the impact of papers produced by Li‐Shin 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 Li‐Shin Huang. The network helps show where Li‐Shin Huang may publish in the future.
Co-authorship network of co-authors of Li‐Shin Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Li‐Shin Huang. A scholar is included among the top collaborators of Li‐Shin 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 Li‐Shin Huang. Li‐Shin 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 | 64 | |
| 2 | 16 | |
| 3 | 65 | |
| 4 | 11 | |
| 5 | 57 | |
| 6 | 69 | |
| 7 | 133 | |
| 8 | 69 | |
| 9 | 11 | |
| 10 | 69 | |
| 11 | 39 | |
| 12 | 113 | |
| 13 | 95 | |
| 14 | 61 | |
| 15 | 205 | |
| 16 | 20 | |
| 17 | 6 | |
| 18 | 9 | |
| 19 | Exclusion of linkage between the human apolipoprotein B gene and abetalipoproteinemia. | 16 |
| 20 | 5 |
About Li‐Shin Huang
Li‐Shin Huang is a scholar working on Biochemistry, Endocrinology, Diabetes and Metabolism and Aging, having authored 39 papers that have together received 2.8k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (14 papers), Lipid metabolism and biosynthesis (10 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers). The work is most often cited by research in Aging (195 citations), Biochemistry (403 citations) and Endocrinology, Diabetes and Metabolism (723 citations). Li‐Shin Huang has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Ira J. Goldberg, Henry N. Ginsberg, Jan L. Breslow, Paul W. Sternberg, Phoebe Tzou, Edward A. Fisher, Yunying Hu, J L Breslow, Emilie Distel and William S. Blaner. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.