Yuna Sun

3.9k citations
57 papers · 2.3k · 1 hit paper · h-index 29

Impact in

Papers in

Yuna Sun

57 papers receiving 2.3k citations

Yuna Sun's Hit Papers

Structural basis and functional analysis of the SARS coronavirus nsp14–nsp10 complex 2015 · 348 citations
3480+3+7Years since publication100200300

Peers

Yuna Sun
Comparison fields: 5 of 99
  • Infectious Diseases 983
  • Cardiology and Cardiovascular Medicine 548
  • Molecular Medicine 128
  • Animal Science and Zoology 263
  • Molecular Biology 918
Replace Peter D. Cooper with:
Peter D. Cooper Australia
Feng Long China
Jui‐Hung Shien Taiwan
Hisashi Ogura Japan
Haim Grosfeld Israel
A. Hajime Koyama Japan
Yongdong Li China
Seán Doyle Ireland
Robert D. Sitrin United States
Susan Brewer United States
Yuna Sun relative to Peter D. Cooper Australia Peter D. Cooper's profile →
Citations per field
00.5×
Peter D. Cooper · 1×
Citations per year

Countries citing papers authored by Yuna Sun

Since Specialization
Citations

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

Fields of papers citing papers by Yuna Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Structural basis and functional analysis of the SARS coronavirus nsp14–nsp10 complex
Hit paper breakdown →
2015348
2 2014189
3 2011150
4 201296
5 201492
6 201978
7 201476
8 201863
9 201962
10 201360
11 200959
12 201157
13 201555
14 201352
15 201352
16 201350
17 200948
18 201046
19 201545
20 201244

About Yuna Sun

Yuna Sun is a scholar working on Infectious Diseases, Molecular Biology, Cardiology and Cardiovascular Medicine, Plant Science and Materials Chemistry, having authored 57 papers that have together received 2.3k indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (16 papers), Viral gastroenteritis research and epidemiology (12 papers), Animal Virus Infections Studies (7 papers), Enzyme Structure and Function (6 papers), Viral Infections and Vectors (6 papers), RNA and protein synthesis mechanisms (6 papers), Virus-based gene therapy research (5 papers) and Cytomegalovirus and herpesvirus research (4 papers). The work is most often cited by research in Infectious Diseases (983 citations), Cardiology and Cardiovascular Medicine (548 citations), Molecular Medicine (128 citations), Animal Science and Zoology (263 citations) and Molecular Biology (918 citations). Yuna Sun has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zhiyong Lou, Zihe Rao, Yu Guo, Yaxin Wang, Honggang Zhou, Liming Yan, Neil Shaw, Yuanyuan Ma, Rongguang Zhang and Jin Wang. Their work appears in journals such as Protein & Cell, Journal of Virology, Proceedings of the National Academy of Sciences, Antimicrobial Agents and Chemotherapy and Antiviral Research.

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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