Dingyi Yang

27 papers receiving 281 citations

Peers

Dingyi Yang
Comparison fields: 5 of 81
  • Radiation 28
  • Internal Medicine 10
  • Molecular Medicine 13
  • Pharmacology 20
  • Cancer Research 34
Replace Kuei‐Li Lin with:
Kuei‐Li Lin Taiwan
Yanan Sun China
Anna Urbaniak Poland
Gengyun Sun China
Krista LaPerle United States
Kihwan Kim South Korea
Carlos Nobre Leitão Portugal
Jenq‐Chang Lee Taiwan
Chia-Yuan Liu Taiwan
Shengbin Dai China
Dingyi Yang relative to Kuei‐Li Lin Taiwan Kuei‐Li Lin's profile →
Citations per field
00.5×4.9×
Kuei‐Li Lin · 1×
Citations per year

Countries citing papers authored by Dingyi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Dingyi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dingyi Yang, 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 Dingyi Yang Line = papers co-authored together Dingyi Yang 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 202132
2 202426
3 201125
4 201622
5 202220
6 201919
7
[Efficacy of Yanshu injection (a compound Chinese traditional medicine) combined with concurrent radiochemotherapy in patients with stage III nasopharyngeal carcinoma].
201115
8 202015
9 202112
10 202012
11 202210
12 202310
13 20229
14 20219
15 20207
16 20167
17 20186
18 20246
19 20174
20 20243

About Dingyi Yang

Dingyi Yang is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Radiation, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 31 papers that have together received 283 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (6 papers), RNA Research and Splicing (3 papers), Lung Cancer Research Studies (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Free Radicals and Antioxidants (2 papers), Endometrial and Cervical Cancer Treatments (2 papers), Nanoparticle-Based Drug Delivery (2 papers) and Digital Storytelling and Education (2 papers). The work is most often cited by research in Radiation (28 citations), Internal Medicine (10 citations), Molecular Medicine (13 citations), Pharmacology (20 citations) and Cancer Research (34 citations). Dingyi Yang has collaborated with scholars based in China, United States and Türkiye. Frequent co-authors include Xin Zhao, Dan Tao, Rui Wei, Yue Yang, Haoxiang Wang, Chong Li, Zhiying Wang, Yong Jiang, Xianfeng Liu and Fu Jin. Their work appears in journals such as Scientific Reports, Cancer Cell International, Medical Physics, Water Resources Research and Frontiers in Cell and Developmental Biology.

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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