Shucun Qin

842 citations
29 papers · 671 indexed · h-index 15

Shucun Qin

28 papers receiving 655 citations

Peers

Shucun Qin
Comparison fields: 5 of 99
  • Endocrinology, Diabetes and Metabolism 115
  • Cancer Research 83
  • Immunology 97
  • Clinical Biochemistry 31
  • Biochemistry 27
Replace Weiwei Cai with:
Weiwei Cai China
Hui Sang China
J. Love Australia
Xuexue Zhu China
Sang‐Won Hong South Korea
Jia Gu China
Farhan Rizvi United States
Yuetao Zhou China
Hangyuan Guo China
Jihong Han China
Shucun Qin relative to Weiwei Cai China Weiwei Cai's profile →
Citations per field
00.5×1.5×1.8×
Weiwei Cai · 1×
Citations per year

Countries citing papers authored by Shucun Qin

Since Specialization
Citations

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

Fields of papers citing papers by Shucun Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202314
2 20236
3 202219
4 20226
5 202225
6 202143
7 20217
8 202129
9 201910
10 201927
11 20181
12 201653
13
[Ox-LDL down-regulates expression of pigment epithelium-derived factor in human umbilical vein endothelial cells].
20145
14 201419
15 201446
16
[Inhibitory effect of quercetin preconditioning on tunicamycin-induced apoptosis in macrophages and its mechanism].
20131
17 201225
18 20104
19
[Oxidized low density lipoprotein induces macrophage endoplasmic reticulum stress via CD36.].
20107
20 2008184

About Shucun Qin

Shucun Qin is a scholar working on Clinical Biochemistry, Developmental Neuroscience and Cell Biology, having authored 29 papers that have together received 671 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (6 papers), Lipoproteins and Cardiovascular Health (4 papers), Cholesterol and Lipid Metabolism (4 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Hydrogen's biological and therapeutic effects (3 papers), Advanced Glycation End Products research (3 papers) and Cardiovascular Disease and Adiposity (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (115 citations), Cancer Research (83 citations) and Immunology (97 citations). Shucun Qin has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Vaijinath S. Kamanna, Moti L. Kashyap, Linhua Zhang, Shobha H. Ganji, Hongmei Gu, Dawei Zhang, Shutong Yao, Peng Jiao, Tianjiao Liu and Lei Zhai. Their work appears in journals such as Nature Communications, The Journal of Clinical Endocrinology & Metabolism and Arteriosclerosis Thrombosis and Vascular Biology.

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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