Ru Ying

501 citations
27 papers · 388 · h-index 13

Impact in

Papers in

Ru Ying

23 papers receiving 381 citations

Peers

Ru Ying
Comparison fields: 5 of 71
  • Biochemistry 25
  • Reproductive Medicine 25
  • Cardiology and Cardiovascular Medicine 59
  • Immunology 50
  • Cancer Research 33
Replace Li Ling with:
Li Ling China
Olivier De Henau United States
Deepika Watts Germany
Paulina Lau Canada
Litao Sun China
Shiho Iwasaki Japan
Yasufumi Kaneda Japan
Hyuck Chan Kwon South Korea
Rédouane Aherrahrou Germany
Avani A. Pendse United States
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Citations per year

Countries citing papers authored by Ru Ying

Since Specialization
Citations

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

Fields of papers citing papers by Ru Ying

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201555
2 201746
3 201542
4 202136
5 200933
6 201821
7 201220
8 202018
9 202017
10 201317
11 201514
12 201013
13 202112
14 202411
15
[Association of SNP276 in adiponectin gene with type 2 diabetes mellitus and insulin sensitivity].
20057
16 20226
17
Association of SNP45 in adiponectin gene with obesity and insulin resistance
20055
18 20194
19 20203
20 20203

About Ru Ying

Ru Ying is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Immunology and Surgery, having authored 27 papers that have together received 388 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), Cardiovascular Disease and Adiposity (3 papers), Ferroptosis and cancer prognosis (2 papers), Congenital heart defects research (2 papers), Aortic aneurysm repair treatments (2 papers), Acute Myocardial Infarction Research (2 papers), Viral Infections and Immunology Research (2 papers) and Neuropeptides and Animal Physiology (2 papers). The work is most often cited by research in Biochemistry (25 citations), Reproductive Medicine (25 citations), Cardiology and Cardiovascular Medicine (59 citations), Immunology (50 citations) and Cancer Research (33 citations). Ru Ying has collaborated with scholars based in China, United States and Colombia. Frequent co-authors include Yangxin Chen, Ying Yang, Jingfeng Wang, Ran Yin, Jingting Mai, Xiaoqiao Wang, Sunan Wang, Chenglong Wu, Qiong Qiu and Jiayuan Chen. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Translational Medicine, The International Journal of Biochemistry & Cell Biology, Frontiers in Cardiovascular Medicine and Journal of the American College of Cardiology.

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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