Furu Wang

1.1k citations
31 papers · 960 · h-index 15

Impact in

    • Head and Neck Cancer Studies
  • Genetics top 10%
    • Genetic Associations and Epidemiology
    • BRCA gene mutations in cancer

Papers in

Furu Wang

30 papers receiving 935 citations

Peers

Furu Wang
Comparison fields: 5 of 72
  • Otorhinolaryngology 65
  • Genetics 315
  • Nephrology 64
  • Oncology 143
  • Neurology 84
Replace Masakazu Kohda with:
Masakazu Kohda Japan
Bianca J. C. van den Bosch Netherlands
Chiara Villa France
Hideaki Tanaka Japan
Junfang Zheng China
Sizhong Zhang China
Jared M. Evans United States
Sharon Olijslagers United Kingdom
Jianqi Cui China
Kyung Chin United States
Furu Wang relative to Masakazu Kohda Japan Masakazu Kohda's profile →
Citations per field
00.5×2×4×6×7.2×
Masakazu Kohda · 1×
Citations per year

Countries citing papers authored by Furu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Furu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989198
2 2010113
3 2019108
4 201174
5 200970
6 200967
7 201159
8 201154
9 201133
10 201030
11 202028
12 201022
13 201620
14 201218
15 201616
16 202012
17 20109
18 20109
19
[Relationship between polymorphisms of X-ray repair cross-complementing group 1 gene Arg194Trp, Arg399Gln and susceptibility of breast cancer].
20106
20 20243

About Furu Wang

Furu Wang is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Nephrology, Cardiology and Cardiovascular Medicine and Neurology, having authored 31 papers that have together received 960 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (8 papers), Radiation Dose and Imaging (5 papers), BRCA gene mutations in cancer (4 papers), Renin-Angiotensin System Studies (3 papers), Effects of Radiation Exposure (3 papers), Chronic Kidney Disease and Diabetes (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Advanced MRI Techniques and Applications (2 papers). The work is most often cited by research in Otorhinolaryngology (65 citations), Genetics (315 citations), Nephrology (64 citations), Oncology (143 citations) and Neurology (84 citations). Furu Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Ronald Glaser, Kai‐Tai Yao, Hongbing Shen, Zhibin Hu, Zhen Jiang, Yue Zhang, Yi‐Ting Chen, Caiyuan Zhang, Juncheng Dai and Weifeng Luo. Their work appears in journals such as International Journal of Medical Sciences, Breast Cancer Research and Treatment, Molecular Biology Reports, International Journal of Environmental Research and Public Health and Frontiers in Public Health.

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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