Lingyun Zu

806 citations
35 papers · 650 indexed · h-index 14

Impact in

Papers in

Lingyun Zu

32 papers receiving 646 citations

Peers

Lingyun Zu
Comparison fields: 5 of 84
  • Cardiology and Cardiovascular Medicine 190
  • Cancer Research 110
  • Immunology 141
  • Molecular Biology 343
  • Biochemistry 36
Replace Stefanie Keymel with:
Stefanie Keymel Germany
Tomasz A. Bonda Poland
Moon Hwa Hong South Korea
Miguel Carracedo Sweden
Takeki Hata Japan
Hongxin Cheng China
Baogui Sun China
Delphine Baetz France
Aimilia Varela Greece
Hidenori Moriyama Japan
Lingyun Zu relative to Stefanie Keymel Germany Stefanie Keymel's profile →
Citations per field
00.5×1.5×2.5×
Stefanie Keymel · 1×
Citations per year

Countries citing papers authored by Lingyun Zu

Since Specialization
Citations

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

Fields of papers citing papers by Lingyun Zu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20232
4 20224
5 202229
6 202210
7 202115
8 20214
9 201720
10 201731
11 201610
12 201637
13 201521
14 20155
15 201410
16 201334
17 201340
18 201021
19 201044
20 200526

About Lingyun Zu

Lingyun Zu is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine, Developmental Neuroscience, Molecular Biology and Emergency Medicine, having authored 35 papers that have together received 650 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (6 papers), Nitric Oxide and Endothelin Effects (4 papers), Cardiovascular Disease and Adiposity (3 papers), Cardiovascular Function and Risk Factors (3 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Photoacoustic and Ultrasonic Imaging (3 papers) and Cardiac Ischemia and Reperfusion (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (190 citations), Cancer Research (110 citations), Immunology (141 citations), Molecular Biology (343 citations) and Biochemistry (36 citations). Lingyun Zu has collaborated with scholars based in China, United States and Romania. Frequent co-authors include Lemin Zheng, Chenguang Niu, Wei Gao, Zheqing Cai, Boda Zhou, Enchen Zhou, Belinda Willard, Bing Pan, Lewis C. Becker and Jizhao Li. Their work appears in journals such as Biochemical and Biophysical Research Communications, The Science of The Total Environment, Journal of Molecular and Cellular Cardiology, International Journal of Cardiology and National Science Review.

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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