Sheng‐an Su

21 papers receiving 815 citations

Peers

Sheng‐an Su
Comparison fields: 5 of 75
  • Cardiology and Cardiovascular Medicine 153
  • Physiology 156
  • Molecular Biology 415
  • Immunology 106
  • Cancer Research 64
Replace Mikhail Menshikov with:
Mikhail Menshikov Russia
Mark Kelly United States
Ken-ichiro Tanaka Japan
Xiaoxiang Tian China
Katia Galan Switzerland
Qiao Liao China
Daniela Tı̂rziu United States
William E. Stansfield United States
Yuanjian Chen United States
Wenjun Zhang United States
Sheng‐an Su relative to Mikhail Menshikov Russia Mikhail Menshikov's profile →
Citations per field
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Mikhail Menshikov · 1×
Citations per year

Countries citing papers authored by Sheng‐an Su

Since Specialization
Citations

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

Fields of papers citing papers by Sheng‐an Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheng‐an Su. 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 Sheng‐an Su. The network helps show where Sheng‐an Su may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017121
2 2017116
3 202195
4 201884
5 201962
6 201857
7 201854
8 201636
9 202332
10 201829
11 201624
12 202320
13 202018
14 202017
15 201916
16 201315
17 201810
18 20179
19 20232
20
Abstract 17119: Substrate Stiffness Alters Human Induced Pluripotent Stem Cell-derived Cardiomyocyte Differentiation And Maturation
20192

About Sheng‐an Su

Sheng‐an Su is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology, Cellular and Molecular Neuroscience and Cell Biology, having authored 21 papers that have together received 821 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Axon Guidance and Neuronal Signaling (2 papers), Ion channel regulation and function (2 papers), Endoplasmic Reticulum Stress and Disease (1 paper), Cell death mechanisms and regulation (1 paper), interferon and immune responses (1 paper) and Nuclear Receptors and Signaling (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (153 citations), Physiology (156 citations), Molecular Biology (415 citations), Immunology (106 citations) and Cancer Research (64 citations). Sheng‐an Su has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Meixiang Xiang, Zhejun Cai, Yaping Wang, Liangliang Jia, Yao Xie, Yidong Wang, Zurong Fu, Jian Shen, Yuankun Ma and Wei Zhu. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Circulation Research, Thrombosis Research, Hypertension and Journal of Zhejiang University SCIENCE B.

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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