Weinian Shou

8.7k citations
114 papers · 7.1k · h-index 45

Impact in

Papers in

    • Cardiomyopathy and Myosin Studies 14
    • Cardiac Fibrosis and Remodeling 7
    • Cardiac electrophysiology and arrhythmias 6
    • Congenital heart defects research 26
    • Signaling Pathways in Disease 16
    • TGF-β signaling in diseases 7
    • RNA modifications and cancer 5

Weinian Shou

111 papers receiving 7.0k citations

Peers

Weinian Shou
Comparison fields: 5 of 141
  • Cardiology and Cardiovascular Medicine 1.6k
  • Molecular Biology 4.5k
  • Genetics 361
  • Cancer Research 462
  • Cell Biology 481
Replace Stephen J. Fuller with:
Stephen J. Fuller United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Weinian Shou

Since Specialization
Citations

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

Fields of papers citing papers by Weinian Shou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 114 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004430
2 2007428
3 1997420
4 2004375
5 1998368
6 2011228
7 1999215
8 2008214
9 2008204
10
Transgenic models to study the roles of inhibins and activins in reproduction, oncogenesis, and development.
1996197
11 2018165
12 2011146
13 2011140
14 2012138
15 2006131
16 2013116
17 2006109
18 2004105
19 2013105
20 2010104

About Weinian Shou

Weinian Shou is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Cell Biology, Endocrinology, Diabetes and Metabolism and Immunology, having authored 114 papers that have together received 7.1k indexed citations. Recurring topics across this work include Congenital heart defects research (26 papers), Signaling Pathways in Disease (16 papers), Cardiomyopathy and Myosin Studies (14 papers), TGF-β signaling in diseases (7 papers), Cardiac Fibrosis and Remodeling (7 papers), Adipose Tissue and Metabolism (7 papers), Cardiac electrophysiology and arrhythmias (6 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.6k citations), Molecular Biology (4.5k citations), Genetics (361 citations), Cancer Research (462 citations) and Cell Biology (481 citations). Weinian Shou has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Han Ying Chen, Shideng Bao, Martin M. Matzuk, Loren J. Field, Wuqiang Zhu, Weidong Yong, Nanette Benbow, Glenn Good, S Whitman and Edmund R. Donoghue. Their work appears in journals such as Journal of Biological Chemistry, Scientific Reports, Molecular Endocrinology, Endocrinology and Oncotarget.

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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