Aiming Wu

2.5k citations
100 papers · 2.0k · h-index 26

Impact in

Papers in

Aiming Wu

98 papers receiving 1.9k citations

Peers

Aiming Wu
Comparison fields: 5 of 144
  • Cardiology and Cardiovascular Medicine 619
  • Complementary and alternative medicine 152
  • Global and Planetary Change 342
  • Atmospheric Science 279
  • Oceanography 176
Replace Shuji Shimizu with:
Shuji Shimizu Japan
Karl Pfeiffer Austria
P.A. Watson United Kingdom
Ichiro Yasuda Japan
André Tremblay Canada
Friedrich Brünner Austria
Serge Lepage Canada
Jianjian Gong United States
Xiao‐Jing Zhang China
Shilin Tang China
Aiming Wu relative to Shuji Shimizu Japan Shuji Shimizu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Aiming Wu

Since Specialization
Citations

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

Fields of papers citing papers by Aiming Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994155
2 2006103
3
Comparison of myoglobin, creatine kinase-MB, and cardiac troponin I for diagnosis of acute myocardial infarction.
199693
4 202089
5 199580
6 201177
7
Biochemical differences between cTnT and cTnI and their significance for diagnosis of acute coronary syndromes.
199870
8 201667
9 198257
10 198951
11 199249
12 198749
13 200547
14 200444
15 199740
16 201336
17 198935
18 200634
19 200333
20 202130

About Aiming Wu

Aiming Wu is a scholar working on Global and Planetary Change, Cardiology and Cardiovascular Medicine, Atmospheric Science, Molecular Biology and Oceanography, having authored 100 papers that have together received 2.0k indexed citations. Recurring topics across this work include Climate variability and models (20 papers), Oceanographic and Atmospheric Processes (15 papers), Meteorological Phenomena and Simulations (12 papers), Cardiac electrophysiology and arrhythmias (7 papers), Traditional Chinese Medicine Analysis (7 papers), Acute Myocardial Infarction Research (7 papers), Cardiac Imaging and Diagnostics (6 papers) and Connexins and lens biology (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (619 citations), Complementary and alternative medicine (152 citations), Global and Planetary Change (342 citations), Atmospheric Science (279 citations) and Oceanography (176 citations). Aiming Wu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include William W. Hsieh, Yayan Feng, Terrie G. Gornet, Benyang Tang, Amir Shabbar, Lixia Lou, G N Bowers, Mingjing Zhao, John H. Contois and R Valdes. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, Clinical Chemistry, Climate Dynamics, Geophysical Research Letters and Frontiers in Pharmacology.

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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