Dawei Yang

2.4k citations
46 papers · 1.2k · h-index 21

Impact in

Papers in

Dawei Yang

44 papers receiving 1.2k citations

Peers

Dawei Yang
Comparison fields: 5 of 86
  • Ophthalmology 610
  • Radiology, Nuclear Medicine and Imaging 372
  • Health Informatics 10
  • Cancer Research 86
  • Clinical Biochemistry 37
Replace Javier Zarranz‐Ventura with:
Javier Zarranz‐Ventura Spain
Brian J. Song United States
Tien‐En Tan Singapore
Daniele Veritti Italy
Yangfan Yang China
Christina Y. Weng United States
Razek Georges Coussa United States
Tianwei Qian China
Tai-Chi Lin Taiwan
Dawei Yang relative to Javier Zarranz‐Ventura Spain Javier Zarranz‐Ventura's profile →
Citations per field
00.5×2×3×4×4.8×
Javier Zarranz‐Ventura · 1×
Citations per year

Countries citing papers authored by Dawei Yang

Since Specialization
Citations

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

Fields of papers citing papers by Dawei Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018148
2 2020138
3 2019121
4 201854
5 202153
6 201949
7 202039
8 202036
9 202035
10 202232
11 202031
12 202130
13 202130
14
Loss of ZNF587B and SULF1 contributed to cisplatin resistance in ovarian cancer cell lines based on Genome-scale CRISPR/Cas9 screening.
201927
15 201924
16 202322
17 202322
18
Comprehensive analysis of vitreous chemokines involved in ischemic retinal vein occlusion.
201922
19 202321
20 201921

About Dawei Yang

Dawei Yang is a scholar working on Ophthalmology, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Molecular Biology and Cancer Research, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (16 papers), Retinal Imaging and Analysis (10 papers), Optical Coherence Tomography Applications (5 papers), Cancer-related molecular mechanisms research (4 papers), Retinal and Optic Conditions (3 papers), RNA modifications and cancer (3 papers), RNA Research and Splicing (2 papers) and Osteoarthritis Treatment and Mechanisms (1 paper). The work is most often cited by research in Ophthalmology (610 citations), Radiology, Nuclear Medicine and Imaging (372 citations), Health Informatics (10 citations), Cancer Research (86 citations) and Clinical Biochemistry (37 citations). Dawei Yang has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Dan Cao, Liang Zhang, Yunkao Zeng, Yunyan Hu, Honghua Yu, Ziqi Tang, Zihan Sun, Carol Y. Cheung, Xuenan Zhuang and Danny Siu‐Chun Ng. Their work appears in journals such as British Journal of Ophthalmology, BMJ Open, Documenta Ophthalmologica, Diabetes Care and Acta Diabetologica.

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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