Lin Yang

4.5k citations
196 papers · 3.0k · h-index 29

Impact in

Papers in

    • Ginseng Biological Effects and Applications 9
    • RNA modifications and cancer 9
    • Plant biochemistry and biosynthesis 9
    • Genomics and Rare Diseases 15

Lin Yang

180 papers receiving 2.9k citations

Peers

Lin Yang
Comparison fields: 5 of 140
  • Developmental Neuroscience 178
  • Pharmacology 227
  • Genetics 455
  • Molecular Biology 1.1k
  • Cancer Research 214
Replace David T. W. Lau with:
David T. W. Lau Hong Kong
Yun Wang China
Xiaohong Zhou China
Lingling Zhu China
Wenbin Li China
Joong‐Sun Kim South Korea
Yuwen Li China
Junguk Hur United States
Xiangnan Zhang China
Lin Yang relative to David T. W. Lau Hong Kong David T. W. Lau's profile →
Citations per field
00.5×4.6×
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-authors

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

Showing the 20 most-cited of 196 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011230
2 2018124
3 2006108
4 202083
5 201881
6 202180
7 202068
8 202060
9 202058
10 201356
11 201853
12 202050
13 202150
14 201744
15 201144
16 202041
17 202039
18 202136
19 201933
20 201933

About Lin Yang

Lin Yang is a scholar working on Molecular Biology, Genetics, Pulmonary and Respiratory Medicine, Developmental Neuroscience and Surgery, having authored 196 papers that have together received 3.0k indexed citations. Recurring topics across this work include Genomics and Rare Diseases (15 papers), Neurogenesis and neuroplasticity mechanisms (14 papers), Pharmacological Effects of Natural Compounds (12 papers), Ginseng Biological Effects and Applications (9 papers), Neonatal Respiratory Health Research (9 papers), RNA modifications and cancer (9 papers), Metabolism and Genetic Disorders (9 papers) and Plant biochemistry and biosynthesis (9 papers). The work is most often cited by research in Developmental Neuroscience (178 citations), Pharmacology (227 citations), Genetics (455 citations), Molecular Biology (1.1k citations) and Cancer Research (214 citations). Lin Yang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Wenhao Zhou, Bin He, Han Yuan, Christopher Wilke, Huijun Wang, Ying Liu, Bingbing Wu, Yulan Lu, Xinran Dong and Jiaming Hou. Their work appears in journals such as Translational Pediatrics, Plant Growth Regulation, Neuroscience Bulletin, Frontiers in Genetics and World Journal of Pediatrics.

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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