Xiaoshen Wang

1.1k citations
52 papers · 765 · h-index 16

Impact in

    • Head and Neck Cancer Studies
    • Inflammatory Biomarkers in Disease Prognosis
    • Lung Cancer Research Studies

Papers in

    • Head and Neck Cancer Studies 25
    • Head and Neck Surgical Oncology 5
    • Salivary Gland Tumors Diagnosis and Treatment 4
    • Cholangiocarcinoma and Gallbladder Cancer Studies 3

Xiaoshen Wang

48 papers receiving 762 citations

Peers

Xiaoshen Wang
Comparison fields: 5 of 54
  • Otorhinolaryngology 434
  • Oncology 160
  • Radiation 45
  • Pulmonary and Respiratory Medicine 119
  • Surgery 156
Replace Michael K. M. Kam with:
Michael K. M. Kam Hong Kong
Eu Tiong Chua Singapore
Bing B Fung United States
Chengguang Lin China
Hongmei Ying China
P. Volling Germany
Ryan J. Brisson United States
Mackenzie Daly United States
Xiyin Guan China
Mark Teo United Kingdom
Xiaoshen Wang relative to Michael K. M. Kam Hong Kong Michael K. M. Kam's profile →
Citations per field
00.5×1.5×2.5×
Michael K. M. Kam · 1×
Citations per year

Countries citing papers authored by Xiaoshen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoshen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016103
2 201583
3 201573
4 201163
5 201135
6 201235
7 201827
8 201822
9 201721
10 202120
11 201920
12 201420
13 201219
14 202119
15 201419
16 200918
17 202213
18 201813
19 201713
20 202111

About Xiaoshen Wang

Xiaoshen Wang is a scholar working on Otorhinolaryngology, Surgery, Pulmonary and Respiratory Medicine, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 52 papers that have together received 765 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (25 papers), Head and Neck Surgical Oncology (5 papers), Advanced Radiotherapy Techniques (4 papers), Lung Cancer Research Studies (4 papers), Salivary Gland Tumors Diagnosis and Treatment (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Inflammatory Biomarkers in Disease Prognosis (3 papers). The work is most often cited by research in Otorhinolaryngology (434 citations), Oncology (160 citations), Radiation (45 citations), Pulmonary and Respiratory Medicine (119 citations) and Surgery (156 citations). Xiaoshen Wang has collaborated with scholars based in China, United States and Oman. Frequent co-authors include Chaosu Hu, Avraham Eisbruch, Tingting Xu, Chunying Shen, Xiayun He, Lin Kong, Hongmei Ying, Guopei Zhu, Jianhui Ding and Xin Zhou. Their work appears in journals such as Frontiers in Oncology, Oral Oncology, Radiation Oncology, Radiotherapy and Oncology and Oncotarget.

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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