Dawei Sun

42 papers receiving 1.0k citations

Peers

Dawei Sun
Comparison fields: 5 of 101
  • Reproductive Medicine 118
  • Obstetrics and Gynecology 102
  • Animal Science and Zoology 102
  • Cellular and Molecular Neuroscience 180
  • Molecular Biology 554
Replace Shubai Liu with:
Shubai Liu China
Yang Xiao China
Julia Heinrich United States
Charles E. Lyons United States
Sabine Schleicher Germany
Jennifer A. Coccia United States
Jan P.G. Klomp Netherlands
Marie A. Iannone United States
Chia-Lung Tsai Taiwan
B M Merrill United States
Dawei Sun relative to Shubai Liu China Shubai Liu's profile →
Citations per field
00.5×8.5×
Shubai Liu · 1×
Citations per year

Countries citing papers authored by Dawei Sun

Since Specialization
Citations

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

Fields of papers citing papers by Dawei Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015277
2 2011160
3 201096
4 200580
5 201553
6 201140
7 201332
8 202423
9 201422
10 200922
11
A gene expression profile of the developing human retinal pigment epithelium.
201222
12 201120
13 201419
14 200817
15 201016
16 202113
17 201312
18 201012
19 20219
20
[The expressions of Ki67 and VEGF in squamous cell carcinoma of larynx and the correlation between the two marks].
20049

About Dawei Sun

Dawei Sun is a scholar working on Molecular Biology, Reproductive Medicine, Ophthalmology, Oncology and Obstetrics and Gynecology, having authored 45 papers that have together received 1.0k indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (7 papers), Retinal Development and Disorders (6 papers), Retinal Diseases and Treatments (5 papers), Gynecological conditions and treatments (4 papers), Receptor Mechanisms and Signaling (4 papers), Uterine Myomas and Treatments (4 papers), Cell Adhesion Molecules Research (3 papers) and Magnetism in coordination complexes (3 papers). The work is most often cited by research in Reproductive Medicine (118 citations), Obstetrics and Gynecology (102 citations), Animal Science and Zoology (102 citations), Cellular and Molecular Neuroscience (180 citations) and Molecular Biology (554 citations). Dawei Sun has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Dmitry B. Veprintsev, Tilman Flock, M. Madan Babu, Charles N. J. Ravarani, AJ Venkatakrishnan, Melis Kayikci, Christopher G. Tate, Kanagalaghatta R. Rajashankar, Fang Li and Zhaohui Qian. Their work appears in journals such as The FASEB Journal, Nature Structural & Molecular Biology, American Journal Of Pathology, International Journal of Bio-Inspired Computation and International Journal of Gynecology & Obstetrics.

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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