Leping Shen

1.7k citations
19 papers · 1.4k · h-index 15

Impact in

  • Genetics top 2%
    • Mesenchymal stem cell research
    • Electrospun Nanofibers in Biomedical Applications

Papers in

Leping Shen

19 papers receiving 1.4k citations

Peers

Leping Shen
Comparison fields: 5 of 84
  • Genetics 517
  • Biomaterials 267
  • Cardiology and Cardiovascular Medicine 351
  • Surgery 520
  • Molecular Biology 680
Replace Raúl A Dulce with:
Raúl A Dulce United States
Koji Iwanaga Japan
Ryo Suzuki Japan
Yoshitaka Iso Japan
Jan Kajstura United States
Santosh K. Sanganalmath United States
Mohamed A. Gaballa United States
Mojgan Rezvani Canada
Vasant Jayasankar United States
Soeun Ngoy United States
Leping Shen relative to Raúl A Dulce United States Raúl A Dulce's profile →
Citations per field
00.5×1.5×
Raúl A Dulce · 1×
Citations per year

Countries citing papers authored by Leping Shen

Since Specialization
Citations

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

Fields of papers citing papers by Leping Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2005338
2 2005330
3 1993132
4 1998106
5 199790
6 200459
7 200458
8 200750
9 199845
10 200543
11 200041
12 200637
13 200526
14 200725
15 200017
16 20215
17 20173
18 20001
19 20081

About Leping Shen

Leping Shen is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Genetics, Surgery and Endocrinology, Diabetes and Metabolism, having authored 19 papers that have together received 1.4k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (6 papers), Renin-Angiotensin System Studies (5 papers), Mesenchymal stem cell research (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), Hormonal Regulation and Hypertension (3 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Heme Oxygenase-1 and Carbon Monoxide (2 papers) and Cardiac Ischemia and Reperfusion (2 papers). The work is most often cited by research in Genetics (517 citations), Biomaterials (267 citations), Cardiology and Cardiovascular Medicine (351 citations), Surgery (520 citations) and Molecular Biology (680 citations). Leping Shen has collaborated with scholars based in United States, China and Canada. Frequent co-authors include M. Ian Phillips, Yaoliang Tang, Yuan Zhang, Keping Qian, M. Ian Phillips, Yi Tang, Qiang Zhao, Leilei Cheng, Junbo Ge and Xinyu Qin. Their work appears in journals such as Hypertension, Circulation, Regulatory Peptides, Journal of Veterinary Cardiology and Journal of Hypertension.

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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