Ruitao Wang

3.8k citations
130 papers · 2.9k · h-index 29

Impact in

Papers in

Ruitao Wang

122 papers receiving 2.9k citations

Peers

Ruitao Wang
Comparison fields: 5 of 135
  • Biological Psychiatry 152
  • Cancer Research 484
  • Internal Medicine 98
  • Physiology 676
  • Oncology 564
Replace Karim Gariani with:
Karim Gariani Switzerland
Luca Liberale Italy
Tiziano M. Scarabelli United States
Lili Feng China
Veronika A. Myasoedova Italy
Nimesh S. A. Patel United Kingdom
Sven Waßmann Germany
Benjamín W. Van Tassell United States
Ling He United States
Bernhard Schieffer Germany
Ruitao Wang relative to Karim Gariani Switzerland Karim Gariani's profile →
Citations per field
00.5×3.2×
Karim Gariani · 1×
Citations per year

Countries citing papers authored by Ruitao Wang

Since Specialization
Citations

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

Fields of papers citing papers by Ruitao Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012366
2 2017157
3 2017124
4 2016117
5 2020101
6 201989
7 201387
8 201685
9 201570
10 201663
11 202061
12 201157
13 201355
14 201353
15 201349
16 201849
17 201341
18 201941
19 201239
20 201938

About Ruitao Wang

Ruitao Wang is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Cancer Research and Surgery, having authored 130 papers that have together received 2.9k indexed citations. Recurring topics across this work include Inflammatory Biomarkers in Disease Prognosis (32 papers), Radiomics and Machine Learning in Medical Imaging (17 papers), Cancer, Lipids, and Metabolism (11 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (9 papers), Alzheimer's disease research and treatments (8 papers), Venous Thromboembolism Diagnosis and Management (8 papers), Cardiovascular Health and Disease Prevention (7 papers) and Cancer Diagnosis and Treatment (7 papers). The work is most often cited by research in Biological Psychiatry (152 citations), Cancer Research (484 citations), Internal Medicine (98 citations), Physiology (676 citations) and Oncology (564 citations). Ruitao Wang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Weihong Song, Fang Cai, Kaijiang Yu, Yili Wu, Weihui Zhou, Philip T. T. Ly, Shuang Fu, Mingming Zhang, Haiyan Zou and James R. Woodgett. Their work appears in journals such as Cancer Biomarkers, World Journal of Gastroenterology, Aging, BMC Cancer and Cancer Medicine.

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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