Shaoqiang Lin

4.0k citations
48 papers · 3.2k indexed · 2 hit papers · h-index 28
Topics
Fibroblast Growth Factor Research (11 papers)Glycosylation and Glycoproteins Research (5 papers)Proteoglycans and glycosaminoglycans research (5 papers)
Journals
CirculationSHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Shaoqiang Lin

48 papers receiving 3.1k citations

Hit Papers

Akkermansia Muciniphila Protects Against Atherosclerosis ...201320262017202120162013100200300400500

Peers

Shaoqiang Lin
Comparison fields: 5 of 123
  • Molecular Biology 2.1k
  • Epidemiology 527
  • Physiology 485
  • Immunology 369
  • Cancer Research 308
Replace Elizabeth J. Tarling with:
Elizabeth J. Tarling United States
Koichiro Wada Japan
Yueshui Zhao China
Lu Yu China
Xi Zhou China
Yang Zhang China
Fajun Yang United States
Xingpeng Wang China
Dewei Ye China
Bifeng Gao United States
Shaoqiang Lin relative to Elizabeth J. Tarling United States Elizabeth J. Tarling's profile →
Citations per field
00.5×1.5×
Elizabeth J. Tarling · 1×
Citations per year

Countries citing papers authored by Shaoqiang Lin

Since Specialization
Citations

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

Fields of papers citing papers by Shaoqiang Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaoqiang Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Shaoqiang Lin. A scholar is included among the top collaborators of Shaoqiang 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 Shaoqiang Lin. Shaoqiang Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 16
3 22
4 6
5 135
6 35
7 29
8 40
9 162
10 21
11 61
12 98
13 108
14 27
15 21
16 151
17 53
18 30
19 25
20 32

About Shaoqiang Lin

Shaoqiang Lin is a scholar working on Molecular Biology, Cell Biology and Pharmacology, having authored 48 papers that have together received 3.2k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (11 papers), Glycosylation and Glycoproteins Research (5 papers) and Proteoglycans and glycosaminoglycans research (5 papers). The work is most often cited by research in Molecular Biology (2.1k citations), Cancer Research (308 citations) and Physiology (485 citations). Shaoqiang Lin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Aimin Xu, Paul M. Vanhoutte, Connie W. Woo, Jin Li, Xiaokun Li, Zhuofeng Lin, Yu Wang, Stefan R. Bornstein, Karen S.L. Lam and Nobuyuki Itoh. Their work appears in journals such as Circulation, SHILAP Revista de lepidopterología and PLoS ONE.

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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