Wei Ren Chen

17 papers receiving 625 citations

Peers

Wei Ren Chen
Comparison fields: 5 of 67
  • Pathology and Forensic Medicine 175
  • Endocrinology, Diabetes and Metabolism 143
  • Endocrine and Autonomic Systems 41
  • Cardiology and Cardiovascular Medicine 124
  • Nephrology 34
Replace Maria Giuliana Tozzi Ciancarelli with:
Maria Giuliana Tozzi Ciancarelli Italy
Bonnie Eby United States
Yukako Kinoshita Japan
Blythe D. Shepard United States
Gennadi M. Kravtsov Hong Kong
Yun Dai Chen China
Sung Woo Ha South Korea
Noriko Sudoh Japan
Ana Sánchez Spain
N. V. Naryzhnaya Russia
Wei Ren Chen relative to Maria Giuliana Tozzi Ciancarelli Italy Maria Giuliana Tozzi Ciancarelli's profile →
Citations per field
00.5×3.2×
Maria Giuliana Tozzi Ciancarelli · 1×
Citations per year

Countries citing papers authored by Wei Ren Chen

Since Specialization
Citations

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

Fields of papers citing papers by Wei Ren Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei Ren Chen. 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 Wei Ren Chen. The network helps show where Wei Ren Chen may publish in the future.

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2015102
2 201683
3 201872
4 202050
5 201350
6 202045
7 202044
8 201539
9 201437
10 201333
11 201432
12 201623
13 201915
14 20166
15 20145
16 20173
17 20131
18 20190

About Wei Ren Chen

Wei Ren Chen is a scholar working on Pathology and Forensic Medicine, Nephrology, Molecular Biology, Endocrinology, Diabetes and Metabolism and Electrical and Electronic Engineering, having authored 18 papers that have together received 640 indexed citations. Recurring topics across this work include Vitamin D Research Studies (5 papers), Parathyroid Disorders and Treatments (3 papers), ZnO doping and properties (1 paper), Hyperglycemia and glycemic control in critically ill and hospitalized patients (1 paper), Genetic Syndromes and Imprinting (1 paper), Mitochondrial Function and Pathology (1 paper), Acute Myocardial Infarction Research (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (175 citations), Endocrinology, Diabetes and Metabolism (143 citations), Endocrine and Autonomic Systems (41 citations), Cardiology and Cardiovascular Medicine (124 citations) and Nephrology (34 citations). Wei Ren Chen has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Yun Dai Chen, Yuan Sha, Yujie Zhou, Feng Tian, Jia Yang, Yang Shi, Qing Ning, Ping Zhu, Hongbin Liu and Jing Wang. Their work appears in journals such as Scientific Reports, Circulation Cardiovascular Imaging, BioMed Research International, Oxidative Medicine and Cellular Longevity and International Journal 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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