Weiqiang Lin

3.7k citations
89 papers · 2.4k · h-index 30

Impact in

Papers in

    • Circular RNAs in diseases 6
    • RNA modifications and cancer 4
    • Acute Kidney Injury Research 9
    • Renal Diseases and Glomerulopathies 7

Weiqiang Lin

86 papers receiving 2.3k citations

Peers

Weiqiang Lin
Comparison fields: 5 of 145
  • Nephrology 284
  • Cancer Research 347
  • Molecular Biology 1.2k
  • Biomaterials 138
  • Nutrition and Dietetics 146
Replace Fei Liao with:
Fei Liao China
Alexei G. Basnakian United States
Zhiqiang Huang China
Ting Chen China
Bei Xu China
Xianyin Lai United States
Dianwen Ju China
Kai Qu China
Yingying Zhang China
Qiuping Liu China
Weiqiang Lin relative to Fei Liao China Fei Liao's profile →
Citations per field
00.5×3.0×
Fei Liao · 1×
Citations per year

Countries citing papers authored by Weiqiang Lin

Since Specialization
Citations

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

Fields of papers citing papers by Weiqiang Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013135
2 2013128
3 2018112
4 2019103
5 202290
6 202081
7 201969
8 202067
9 202364
10 202159
11 202058
12 201856
13 202254
14 202143
15 201143
16 200242
17 202042
18 201939
19 202039
20 201938

About Weiqiang Lin

Weiqiang Lin is a scholar working on Molecular Biology, Nephrology, Cancer Research, Biomedical Engineering and Genetics, having authored 89 papers that have together received 2.4k indexed citations. Recurring topics across this work include Acute Kidney Injury Research (9 papers), MicroRNA in disease regulation (8 papers), Renal Diseases and Glomerulopathies (7 papers), Nanoplatforms for cancer theranostics (7 papers), Circular RNAs in diseases (6 papers), Ferroptosis and cancer prognosis (6 papers), Cancer-related molecular mechanisms research (5 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Nephrology (284 citations), Cancer Research (347 citations), Molecular Biology (1.2k citations), Biomaterials (138 citations) and Nutrition and Dietetics (146 citations). Weiqiang Lin has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Tianfeng Chen, Jianghua Chen, Fei Han, Yunjing Zhang, Muyuan Zhu, Hongwu Bian, Xianghui Fu, Hongxing Liu, Junhui Wang and Ning Han. Their work appears in journals such as Advanced Science, Nano Research, ACS Synthetic Biology, Biomaterials and Frontiers in Bioengineering and Biotechnology.

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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