Laixiang Lin
Impact in
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- Thyroid Disorders and Treatments
- Thyroid Cancer Diagnosis and Treatment
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- Neonatal Health and Biochemistry
- Neonatal and fetal brain pathology
Papers in
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- Thyroid Disorders and Treatments 14
- Thyroid Cancer Diagnosis and Treatment 2
- Co-authors
- Yongmei Li (8 shared papers)Wanqi Zhang (10 shared papers)Jun Shen (7 shared papers)Long Tan (4 shared papers)Yuemei Li (2 shared papers)Shumei Xu (3 shared papers)Xiaomei Yao (3 shared papers)Elizabeth N. Pearce (3 shared papers)
- Journals
- Oxidative Medicine and Cellular Longevity (4 papers)PLoS ONE (3 papers)Thyroid (2 papers)Journal of Trace Elements in Medicine and Biology (1 paper)Nutrition (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Laixiang Lin
28 papers receiving 372 citations
Peers
Comparison fields: 5 of 82
- Endocrinology, Diabetes and Metabolism 128
- Pediatrics, Perinatology and Child Health 62
- Developmental Neuroscience 11
- Endocrine and Autonomic Systems 18
- Physiology 55
Countries citing papers authored by Laixiang Lin
This map shows the geographic impact of Laixiang 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 Laixiang Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laixiang Lin more than expected).
Fields of papers citing papers by Laixiang Lin
This network shows the impact of papers produced by Laixiang 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 Laixiang Lin. The network helps show where Laixiang Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Laixiang Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 40 | |
| 2 | 2014 | 30 | |
| 3 | 2015 | 30 | |
| 4 | 2014 | 27 | |
| 5 | 2017 | 21 | |
| 6 | 2014 | 21 | |
| 7 | 2019 | 20 | |
| 8 | 2021 | 19 | |
| 9 | 2018 | 17 | |
| 10 | 2020 | 16 | |
| 11 | 2016 | 14 | |
| 12 | 2018 | 14 | |
| 13 | 2020 | 14 | |
| 14 | 2016 | 13 | |
| 15 | 2020 | 11 | |
| 16 | 2020 | 11 | |
| 17 | 2015 | 10 | |
| 18 | 2019 | 10 | |
| 19 | 2017 | 9 | |
| 20 | 2020 | 7 |
About Laixiang Lin
Laixiang Lin is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Pediatrics, Perinatology and Child Health, Epidemiology and Physiology, having authored 28 papers that have together received 378 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (14 papers), Neonatal Health and Biochemistry (3 papers), Autophagy in Disease and Therapy (3 papers), Alzheimer's disease research and treatments (2 papers), Pregnancy and preeclampsia studies (2 papers), Computational Drug Discovery Methods (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers) and Body Composition Measurement Techniques (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (128 citations), Pediatrics, Perinatology and Child Health (62 citations), Developmental Neuroscience (11 citations), Endocrine and Autonomic Systems (18 citations) and Physiology (55 citations). Laixiang Lin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yongmei Li, Wanqi Zhang, Jun Shen, Long Tan, Yuemei Li, Shumei Xu, Xiaomei Yao, Elizabeth N. Pearce, Ye Yan and Jianchao Bian. Their work appears in journals such as Oxidative Medicine and Cellular Longevity, PLoS ONE, Thyroid, Journal of Trace Elements in Medicine and Biology and Nutrition.
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.