Ruitao Wang

3.9k citations
133 papers · 3.2k · h-index 30

Impact in

Papers in

    • Inflammatory Biomarkers in Disease Prognosis 32
    • Alzheimer's disease research and treatments 7
    • Adipose Tissue and Metabolism 4

Ruitao Wang

129 papers receiving 3.1k citations

Peers

Ruitao Wang
Comparison fields: 5 of 132
  • Biological Psychiatry 139
  • Cancer Research 360
  • Physiology 620
  • Oncology 534
  • Internal Medicine 64
Replace Karim Gariani with:
Karim Gariani Switzerland
Tao Wu China
Xian Wu Cheng Japan
Robert Anthony Smith Australia
Pingjin Gao China
Lan Zhao United Kingdom
Qingwei David Zhao China
Leszek Kalinowski Poland
Maria Grandoch Germany
Daniela Fraccarollo Germany
Ruitao Wang relative to Karim Gariani Switzerland Karim Gariani's profile →
Citations per field
00.5×1.5×2×2.4×
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 133 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012392
2 2017163
3 2017135
4 2016124
5 2020105
6 2019100
7 201393
8 201689
9 201574
10 202071
11 201670
12 201167
13 201361
14 201859
15 201357
16 201352
17 201346
18 201943
19 201943
20 201242

About Ruitao Wang

Ruitao Wang is a scholar working on Oncology, Physiology, Pulmonary and Respiratory Medicine, Cancer Research and Orthopedics and Sports Medicine, having authored 133 papers that have together received 3.2k indexed citations. Recurring topics across this work include Inflammatory Biomarkers in Disease Prognosis (32 papers), Radiomics and Machine Learning in Medical Imaging (8 papers), Alzheimer's disease research and treatments (7 papers), Lung Cancer Diagnosis and Treatment (6 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Bone health and osteoporosis research (4 papers) and Adipose Tissue and Metabolism (4 papers). The work is most often cited by research in Biological Psychiatry (139 citations), Cancer Research (360 citations), Physiology (620 citations), Oncology (534 citations) and Internal Medicine (64 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, Shuang Fu, Philip T. T. Ly, Weihui Zhou, Mingming Zhang, Haiyan Zou and James Robert 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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