Dawei Sun

37 papers receiving 1.1k citations

Peers

Dawei Sun
Comparison fields: 5 of 98
  • Reproductive Medicine 117
  • Cellular and Molecular Neuroscience 194
  • Animal Science and Zoology 102
  • Obstetrics and Gynecology 63
  • Molecular Biology 560
Replace Jennifer A. Coccia with:
Jennifer A. Coccia United States
Julia N. Heinrich Germany
Yang Xiao China
Charles E. Lyons United States
Irena Levitan United States
Marie A. Iannone United States
B M Merrill United States
Hélène Richard‐Foy France
Jia Xie United States
Dawei Sun relative to Jennifer A. Coccia United States Jennifer A. Coccia's profile →
Citations per field
00.5×2×4×6×8.4×
Jennifer A. Coccia · 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 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015299
2 2011169
3 201098
4 200586
5 201556
6 201143
7 201335
8 202426
9 201123
10 200923
11 201422
12
A gene expression profile of the developing human retinal pigment epithelium.
201220
13 201420
14 200818
15 202118
16 201017
17 201215
18 202414
19 201012
20 202112

About Dawei Sun

Dawei Sun is a scholar working on Ophthalmology, Molecular Biology, Immunology and Allergy, Reproductive Medicine and Oncology, having authored 39 papers that have together received 1.1k indexed citations. Recurring topics across this work include Retinal Development and Disorders (6 papers), Magnetism in coordination complexes (3 papers), Endometriosis Research and Treatment (3 papers), CRISPR and Genetic Engineering (3 papers), Metal complexes synthesis and properties (3 papers), Receptor Mechanisms and Signaling (3 papers), Cell Adhesion Molecules Research (3 papers) and Glaucoma and retinal disorders (3 papers). The work is most often cited by research in Reproductive Medicine (117 citations), Cellular and Molecular Neuroscience (194 citations), Animal Science and Zoology (102 citations), Obstetrics and Gynecology (63 citations) and Molecular Biology (560 citations). Dawei Sun has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Dmitry B. Veprintsev, Madan Babu Mohan, Tilman Flock, Charles N. J. Ravarani, Christopher G. Tate, A J Venkatakrishnan, Melis Kayikci, Fang Li, Kathryn V. Holmes and Guiqing Peng. Their work appears in journals such as The FASEB Journal, International Journal of Bio-Inspired Computation, International Journal of Gynecology & Obstetrics, Nature Structural & Molecular Biology and American Journal Of Pathology.

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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