Dian Wang

153 papers receiving 3.7k citations

Dian Wang's Hit Papers

p16 Protein Expression and Human Papillomavirus Status As Prognostic Biomarkers of Nonoropharyngeal Head and Neck Squamous Cell Carcinoma 2014 · 301 citations
3010+4+8Years since publication100200300

Peers

Dian Wang
Comparison fields: 5 of 139
  • Otorhinolaryngology 472
  • Pulmonary and Respiratory Medicine 1.2k
  • Oncology 821
  • Gastroenterology 143
  • Radiation 168
Replace Takahiro Nakajima with:
Takahiro Nakajima Japan
Takashi Uno Japan
Kyubo Kim South Korea
Jan Paul de Boer Netherlands
Antonino Maiorana Italy
Mark W. Onaitis United States
Shoji Natsugoe Japan
Osamu Sakai Japan
Mark C. Weissler United States
Dian Wang relative to Takahiro Nakajima Japan Takahiro Nakajima's profile →
Citations per field
00.5×4.3×
Takahiro Nakajima · 1×
Citations per year

Countries citing papers authored by Dian Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dian Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 158 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998334
2
p16 Protein Expression and Human Papillomavirus Status As Prognostic Biomarkers of Nonoropharyngeal Head and Neck Squamous Cell Carcinoma
Hit paper breakdown →
2014301
3 2012228
4 2015197
5 2012175
6 2011148
7 2006126
8 201583
9 200874
10 201371
11 201365
12 202165
13 201164
14 201754
15 201952
16 202151
17 201541
18 201839
19 201138
20 201137

About Dian Wang

Dian Wang is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Molecular Biology, Otorhinolaryngology and Surgery, having authored 158 papers that have together received 3.8k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (40 papers), Head and Neck Cancer Studies (14 papers), Prostate Cancer Diagnosis and Treatment (12 papers), Vascular Tumors and Angiosarcomas (9 papers), Advanced Radiotherapy Techniques (7 papers), Trace Elements in Health (7 papers), Bone Tumor Diagnosis and Treatments (6 papers) and CAR-T cell therapy research (5 papers). The work is most often cited by research in Otorhinolaryngology (472 citations), Pulmonary and Respiratory Medicine (1.2k citations), Oncology (821 citations), Gastroenterology (143 citations) and Radiation (168 citations). Dian Wang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Renny T. Franceschi, Guozhi Xiao, Gérard Karsenty, M. Douglas Benson, Thomas F. DeLaney, Xiang‐Ming Lao, Christopher J. Schultz, X. Allen Li, David G. Kirsch and Ivy A. Petersen. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Journal of Clinical Oncology, Biological Trace Element Research, Radiation Oncology and American Journal of Hypertension.

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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