Laixiang Lin

456 citations
27 papers · 364 · h-index 14

Impact in

Papers in

Laixiang Lin

27 papers receiving 360 citations

Peers

Laixiang Lin
Comparison fields: 5 of 81
  • Endocrinology, Diabetes and Metabolism 136
  • Pediatrics, Perinatology and Child Health 88
  • Endocrine and Autonomic Systems 26
  • Developmental Neuroscience 12
  • Nutrition and Dietetics 41
Replace Juanxiu Lv with:
Juanxiu Lv China
Ngoc Hoang United States
Miriam Álvarez-Guerra France
Erik Nilsson Sweden
Sanya Roysommuti United States
Ngan Huynh United States
Birşen Bilgici Türkiye
Purnima Dey Sarkar India
Emily Tsai United States
Laixiang Lin relative to Juanxiu Lv China Juanxiu Lv's profile →
Citations per field
00.5×2.8×
Juanxiu Lv · 1×
Citations per year

Countries citing papers authored by Laixiang Lin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Laixiang Lin Line = papers co-authored together Laixiang Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202038
2 201530
3 201429
4 201427
5 201421
6 201720
7 201919
8 202116
9 201816
10 202015
11 201614
12 201814
13 202013
14 201613
15 202011
16 202011
17 201910
18 201510
19 20179
20 20207

About Laixiang Lin

Laixiang Lin is a scholar working on Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health, Molecular Biology, Epidemiology and Obstetrics and Gynecology, having authored 27 papers that have together received 364 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (16 papers), Neonatal Health and Biochemistry (7 papers), Pregnancy and preeclampsia studies (3 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), Autophagy in Disease and Therapy (3 papers), Alzheimer's disease research and treatments (2 papers), Computational Drug Discovery Methods (2 papers) and Neonatal and fetal brain pathology (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (136 citations), Pediatrics, Perinatology and Child Health (88 citations), Endocrine and Autonomic Systems (26 citations), Developmental Neuroscience (12 citations) and Nutrition and Dietetics (41 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, Wei Wang, Elizabeth N. Pearce, Wen Chen, Yuemei Li, Ye Yan and Jianchao Bian. Their work appears in journals such as Oxidative Medicine and Cellular Longevity, PLoS ONE, Thyroid, Clinical Endocrinology 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.

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