Hua Shen

14.0k citations
102 papers · 2.4k · h-index 28

Impact in

Papers in

Hua Shen

98 papers receiving 2.3k citations

Peers

Hua Shen
Comparison fields: 5 of 144
  • Cardiology and Cardiovascular Medicine 582
  • Cancer Research 259
  • Molecular Biology 980
  • Equine 23
  • Immunology 278
Replace Lijun Wang with:
Lijun Wang China
Sonja Hartwig Germany
Jannette M. Dufour United States
Daniel E. Cooper United States
Manjunath B. Joshi India
Di Liu China
Florian Caiment Netherlands
Liang‐Yin Ke Taiwan
Zheng Chen China
Svein O. Kolset Norway
Hua Shen relative to Lijun Wang China Lijun Wang's profile →
Citations per field
00.5×7.7×
Lijun Wang · 1×
Citations per year

Countries citing papers authored by Hua Shen

Since Specialization
Citations

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

Fields of papers citing papers by Hua Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 102 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017245
2 2015126
3 2015105
4 201999
5 201487
6 201881
7 201580
8 201780
9 201156
10 201852
11 199251
12 202048
13 201547
14 201744
15 201842
16 202241
17 201840
18 201940
19 202040
20 201939

About Hua Shen

Hua Shen is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine and Physiology, having authored 102 papers that have together received 2.4k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (8 papers), Congenital heart defects research (8 papers), Adipose Tissue and Metabolism (5 papers), Cardiovascular Effects of Exercise (5 papers), Carcinogens and Genotoxicity Assessment (5 papers), Cardiovascular Function and Risk Factors (5 papers), Cardiomyopathy and Myosin Studies (5 papers) and Congenital Heart Disease Studies (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (582 citations), Cancer Research (259 citations), Molecular Biology (980 citations), Equine (23 citations) and Immunology (278 citations). Hua Shen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Henry M. Sucov, Gertrude Case Buehring, Zhinong Wang, Susana Cavallero, Ching‐Ling Lien, Peter J. O’Brien, Michaela Patterson, Hanne M. Jensen, Sunil Kumar and Yukiko Yamaguchi. Their work appears in journals such as Cellular Physiology and Biochemistry, Canadian Journal of Physiology and Pharmacology, Molecular and Cellular Biochemistry, PLoS ONE and Biomedicine & Pharmacotherapy.

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.

Explore authors with similar magnitude of impact