Lin Yang

4.5k citations
201 papers · 2.9k indexed · h-index 29

Lin Yang

181 papers receiving 2.9k citations

Peers

Lin Yang
Comparison fields: 5 of 142
  • Developmental Neuroscience 191
  • Pharmacology 226
  • Molecular Biology 1.3k
  • Genetics 519
  • Cancer Research 264
Replace David T. W. Lau with:
David T. W. Lau Hong Kong
Christophe Bonny Switzerland
Ying Lin United States
Hao Jiang United States
Lingling Zhu China
Yun Wang China
Junguk Hur United States
Mahesh Karandikar United States
Keith R. Martin United Kingdom
Lin Yang relative to David T. W. Lau Hong Kong David T. W. Lau's profile →
Citations per field
00.5×3.1×
David T. W. Lau · 1×
Citations per year

Countries citing papers authored by Lin Yang

Since Specialization
Citations

This map shows the geographic impact of Lin Yang'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 Lin Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Yang more than expected).

Fields of papers citing papers by Lin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lin Yang. 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 Lin Yang. The network helps show where Lin Yang may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Lin Yang, 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 Lin Yang Line = papers co-authored together Lin Yang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20253
4 20251
5 20245
6 20243
7 20245
8 20246
9 20236
10 20233
11 20214
12 20215
13 202040
14 202018
15 202015
16 2018121
17 20124
18
A Research on UCON Enhanced Dynamic Access Control Model for the Business Process of Composite Web Services
20111
19
Three-dimensional Modeling of the Organ of Corti Based on Electron Micrograph
20071
20
Study on the relation between arsenism patients' skin changes and their hair As content
20001

About Lin Yang

Lin Yang is a scholar working on Developmental Neuroscience, Clinical Biochemistry, Molecular Biology, Genetics and Genetics, having authored 201 papers that have together received 2.9k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (18 papers), RNA modifications and cancer (15 papers), Neurogenesis and neuroplasticity mechanisms (15 papers), Neonatal Respiratory Health Research (13 papers), Genetics and Neurodevelopmental Disorders (13 papers), Pharmacological Effects of Natural Compounds (12 papers), Ginseng Biological Effects and Applications (11 papers) and Metabolism and Genetic Disorders (11 papers). The work is most often cited by research in Developmental Neuroscience (191 citations), Pharmacology (226 citations), Molecular Biology (1.3k citations), Genetics (519 citations) and Cancer Research (264 citations). Lin Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Wenhao Zhou, Bin He, Han Yuan, Christopher Wilke, Huijun Wang, Ying Liu, Bingbing Wu, Yulan Lu, Xinran Dong and Zhengang Yang. Their work appears in journals such as Translational Pediatrics, Plant Growth Regulation, Cell Reports, World Journal of Pediatrics and Scientific Reports.

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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