Dawei Liu

42 papers receiving 764 citations

Peers

Dawei Liu
Comparison fields: 5 of 125
  • Research and Theory 5
  • Cellular and Molecular Neuroscience 102
  • Internal Medicine 14
  • Reproductive Medicine 35
  • Neurology 59
Replace John Mathews with:
John Mathews United Kingdom
Elisa Calzolari Italy
Amanda Clark United States
Stefan Brunner Germany
Jane Anderson United States
Gideon Zamba United States
David H. Collier United States
Ernesto Roldán-Valadéz Mexico
Elizabeth Wang United States
Francesca Locatelli Italy
Dawei Liu relative to John Mathews United Kingdom John Mathews's profile →
Citations per field
00.5×5.8×
John Mathews · 1×
Citations per year

Countries citing papers authored by Dawei Liu

Since Specialization
Citations

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

Fields of papers citing papers by Dawei Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008148
2 200468
3 200849
4 201348
5 201348
6 200541
7 201437
8 202035
9 200833
10 201831
11 201230
12 200524
13 201521
14 201418
15 201218
16 201518
17 201615
18 201413
19 202312
20 201012

About Dawei Liu

Dawei Liu is a scholar working on Surgery, Neurology, Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 50 papers that have together received 802 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (4 papers), Pituitary Gland Disorders and Treatments (3 papers), Hemodynamic Monitoring and Therapy (2 papers), Land Use and Ecosystem Services (2 papers), Plasma Diagnostics and Applications (2 papers), Neurological disorders and treatments (2 papers), Plasma Applications and Diagnostics (2 papers) and Traffic Prediction and Management Techniques (2 papers). The work is most often cited by research in Research and Theory (5 citations), Cellular and Molecular Neuroscience (102 citations), Internal Medicine (14 citations), Reproductive Medicine (35 citations) and Neurology (59 citations). Dawei Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Barry A. Siegel, Ilana F. Gareen, Dennis L. Hart, Anthony F. Shields, Bruce E. Hillner, R. Edward Coleman, Linda Resnik, Vince Mor, James A. Mills and Jane S. Paulsen. Their work appears in journals such as Medicine, Physical Therapy, Journal of Orthopaedic Surgery and Research, Gynecologic Oncology and Journal of Cardiothoracic and Vascular Anesthesia.

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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