Yuting Wang

3.8k citations
175 papers · 2.2k · h-index 25

Impact in

Papers in

Yuting Wang

154 papers receiving 2.2k citations

Peers

Yuting Wang
Comparison fields: 5 of 156
  • Neurology 243
  • Pulmonary and Respiratory Medicine 391
  • Biological Psychiatry 22
  • Radiology, Nuclear Medicine and Imaging 189
  • Cancer Research 108
Replace Mark McPhail with:
Mark McPhail United Kingdom
David Hervás Spain
Fei Li China
Stefan Hofer Germany
Lijuan Zhang China
Andreas Pfützner Germany
Lachlan MacGregor Australia
Li Lin China
Weiguo Zhang China
Koichi Yuki United States
Yuting Wang relative to Mark McPhail United Kingdom Mark McPhail's profile →
Citations per field
00.5×1.6×
Mark McPhail · 1×
Citations per year

Countries citing papers authored by Yuting Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yuting Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 175 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011118
2 202094
3 201993
4 201479
5 201569
6 201969
7 201962
8 202061
9 202060
10 202357
11 201652
12 202051
13 202350
14 202245
15 202039
16 202239
17 201438
18 201938
19 201734
20 201630

About Yuting Wang

Yuting Wang is a scholar working on Pulmonary and Respiratory Medicine, Neurology, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 175 papers that have together received 2.2k indexed citations. Recurring topics across this work include Intracranial Aneurysms: Treatment and Complications (9 papers), MRI in cancer diagnosis (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Traumatic Brain Injury and Neurovascular Disturbances (5 papers), Cerebrovascular and Carotid Artery Diseases (5 papers), Medical Imaging Techniques and Applications (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Neural dynamics and brain function (4 papers). The work is most often cited by research in Neurology (243 citations), Pulmonary and Respiratory Medicine (391 citations), Biological Psychiatry (22 citations), Radiology, Nuclear Medicine and Imaging (189 citations) and Cancer Research (108 citations). Yuting Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Chengcheng Zhu, Gang Huang, Jianjun Liu, Chengpeng Zhang, Xiao Wu, Ajay Malhotra, Gordon Guyatt, Mahmud Mossa‐Basha, Binbin Lin and Yanyan Yuan. Their work appears in journals such as Stroke, BMC Geriatrics, Frontiers in Psychiatry, Frontiers in Neurology and Frontiers in Immunology.

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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