Matthew Wang

25 papers receiving 302 citations

Peers

Matthew Wang
Comparison fields: 5 of 106
  • Family Practice 5
  • Neurology 21
  • Cardiology and Cardiovascular Medicine 51
  • Ophthalmology 17
  • Internal Medicine 6
Replace Xinyi Xie with:
Xinyi Xie China
Peter Cimalla Germany
Ronit Barkalifa United States
Xueyi Chen China
Pawina Jiramongkolchai United States
Yu‐Chi Liu Taiwan
S. Lee South Korea
Tony J. Akl United States
Paul W. Sweeney United Kingdom
Matthew Wang relative to Xinyi Xie China Xinyi Xie's profile →
Citations per field
00.5×2.8×
Xinyi Xie · 1×
Citations per year

Countries citing papers authored by Matthew Wang

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201180
2 202263
3 202246
4 201513
5 201913
6 201812
7 202212
8 201910
9 20139
10 20248
11 20197
12 20126
13 20205
14
Assessment of complications following urinary diversion for benign indications.
20194
15 20214
16 20243
17 20203
18 20252
19 20062
20 20231

About Matthew Wang

Matthew Wang is a scholar working on Surgery, Cardiology and Cardiovascular Medicine, Cell Biology, Molecular Biology and Rehabilitation, having authored 27 papers that have together received 308 indexed citations. Recurring topics across this work include Risk and Safety Analysis (2 papers), Advanced Chemical Physics Studies (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Cellular Mechanics and Interactions (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Cardiac pacing and defibrillation studies (1 paper), Bipolar Disorder and Treatment (1 paper) and Neural and Behavioral Psychology Studies (1 paper). The work is most often cited by research in Family Practice (5 citations), Neurology (21 citations), Cardiology and Cardiovascular Medicine (51 citations), Ophthalmology (17 citations) and Internal Medicine (6 citations). Matthew Wang has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include Samia N. Naccache, Edith Aguilar, David F. Friedlander, Stacey K. Moreno, Óscar Yanes, Glen R. Nemerow, Martin Friedlander, Gary Siuzdak, Min Zhan and Valentina Marchetti. Their work appears in journals such as The Journal of Chemical Physics, Scientific Reports, Nature Communications, Chemical Research in Toxicology and AIChE Journal.

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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