Wen-Han Lin
- Nutrition and Dietetics top 5%
- Electrical and Electronic Engineering
- Polymers and Plastics top 10%
- Health, Toxicology and Mutagenesis top 10%
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Pi‐Yao LinChing‐Fuh LinChen-Yu ChouJing‐Shun HuangVivian C. YangMing-Der ChenJerome M. HershmanYuh-Min Song
- Topics
- Trace Elements in Health (7 papers)Organic Electronics and Photovoltaics (4 papers)Conducting polymers and applications (4 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismChemistry LettersBiological Trace Element Research
- Partner nations
- TaiwanUnited States
In The Last Decade
Wen-Han Lin
22 papers receiving 530 citations
Peers
Comparison fields: 5 of 84
- Nutrition and Dietetics 209
- Electrical and Electronic Engineering 149
- Polymers and Plastics 123
- Health, Toxicology and Mutagenesis 90
- Endocrinology, Diabetes and Metabolism 72
Countries citing papers authored by Wen-Han Lin
This map shows the geographic impact of Wen-Han Lin'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 Wen-Han Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen-Han Lin more than expected).
Fields of papers citing papers by Wen-Han Lin
This network shows the impact of papers produced by Wen-Han Lin. 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 Wen-Han Lin. The network helps show where Wen-Han Lin may publish in the future.
Co-authorship network of co-authors of Wen-Han Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Wen-Han Lin. A scholar is included among the top collaborators of Wen-Han Lin 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 Wen-Han Lin. Wen-Han Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 3 | |
| 3 | 149 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 21 | |
| 8 | Molecular diagnosis of fragile X syndrome and distribution of CGG repeats in the FMR-1 gene in Taiwanese. | 4 |
| 9 | 15 | |
| 10 | 145 | |
| 11 | 8 | |
| 12 | 47 | |
| 13 | 8 | |
| 14 | 79 | |
| 15 | 16 | |
| 16 | Effect of caffeine on the levels of brain serotonin and catecholamine in the genetically obese mice. | 18 |
| 17 | Abnormal thyroid hormone levels in critical nonthyroidal illness. | 1 |
| 18 | 9 | |
| 19 | 1 | |
| 20 | 24 |
About Wen-Han Lin
Wen-Han Lin is a scholar working on Nutrition and Dietetics, Polymers and Plastics and Developmental Neuroscience, having authored 22 papers that have together received 560 indexed citations. Recurring topics across this work include Trace Elements in Health (7 papers), Organic Electronics and Photovoltaics (4 papers) and Conducting polymers and applications (4 papers). The work is most often cited by research in Nutrition and Dietetics (209 citations), Polymers and Plastics (123 citations) and Health, Toxicology and Mutagenesis (90 citations). Wen-Han Lin has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Pi‐Yao Lin, Ching‐Fuh Lin, Chen-Yu Chou, Jing‐Shun Huang, Vivian C. Yang, Ming-Der Chen, Jerome M. Hershman, Yuh-Min Song, Wayne Huey‐Herng Sheu and Chih‐Chien Wang. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Chemistry Letters and Biological Trace Element 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.