Lingwei Wang

67 papers receiving 2k citations

Peers

Lingwei Wang
Comparison fields: 5 of 116
  • Physiology 616
  • Pollution 191
  • Hematology 219
  • Cardiology and Cardiovascular Medicine 243
  • Microbiology 8
Replace Takeo Suzuki with:
Takeo Suzuki Japan
Isabel R. Orriss United Kingdom
Yuxuan Luo China
Aaron Erdely United States
Seok-Hwan Kim South Korea
James Laredo United States
Yabing Wang China
Zhengxuan Jiang China
Xueting Li China
Masahiro Yoshikawa Japan
Lingwei Wang relative to Takeo Suzuki Japan Takeo Suzuki's profile →
Citations per field
00.5×10×20×31.3×
Takeo Suzuki · 1×
Citations per year

Countries citing papers authored by Lingwei Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lingwei Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021194
2 2002193
3 2004185
4 2004167
5 2004159
6 2004116
7 200691
8 200282
9 200367
10 202264
11 202358
12 201837
13 201935
14 202032
15 202232
16 200328
17 202428
18 201726
19 200425
20 201925

About Lingwei Wang

Lingwei Wang is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Renewable Energy, Sustainability and the Environment, Hematology and Modeling and Simulation, having authored 74 papers that have together received 2k indexed citations. Recurring topics across this work include Cardiac pacing and defibrillation studies (15 papers), Adenosine and Purinergic Signaling (10 papers), Asthma and respiratory diseases (4 papers), Electrocatalysts for Energy Conversion (3 papers), Platelet Disorders and Treatments (3 papers), Energy Efficient Wireless Sensor Networks (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Physiology (616 citations), Pollution (191 citations), Hematology (219 citations), Cardiology and Cardiovascular Medicine (243 citations) and Microbiology (8 citations). Lingwei Wang has collaborated with scholars based in China, Sweden and Germany. Frequent co-authors include David Erlinge, Sverker Jern, Lena Karlsson, Tómas Guðbjartsson, Anders A Bengtsson, Sten Eirik W. Jacobsen, Helén Brogren, Catharina Borna, Lei Li and Chen Qiu. Their work appears in journals such as Annals of Translational Medicine, Scandinavian Cardiovascular Journal, Pacing and Clinical Electrophysiology, Arteriosclerosis Thrombosis and Vascular Biology and EP Europace.

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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