Ming Sun

5.1k citations
53 papers · 1.6k · h-index 21

Impact in

Papers in

    • RNA and protein synthesis mechanisms 13
    • RNA modifications and cancer 11
    • Insect Resistance and Genetics 6
    • RNA Research and Splicing 4
    • Heat shock proteins research 4
    • Protein Structure and Dynamics 3

Ming Sun

52 papers receiving 1.5k citations

Peers

Ming Sun
Comparison fields: 5 of 112
  • Structural Biology 231
  • Insect Science 223
  • Cellular and Molecular Neuroscience 292
  • Surfaces, Coatings and Films 107
  • Molecular Biology 839
Replace Amédée des Georges with:
Amédée des Georges United States
Arne Moeller Germany
Soung‐Hun Roh South Korea
John M. Kenney United States
Catherine Vénien‐Bryan France
Johanna Dudek Germany
Jonathan J. M. Landry Germany
Mazdak Radjainia New Zealand
Hariprasad Venugopal Australia
Arun Prasad Pandurangan United Kingdom
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Citations per field
00.5×4.7×
Amédée des Georges · 1×
Citations per year

Countries citing papers authored by Ming Sun

Since Specialization
Citations

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

Fields of papers citing papers by Ming Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996290
2 1997180
3 2002132
4 201994
5 201783
6 201570
7 201654
8 201652
9 201945
10 201143
11 202041
12 201838
13 201537
14 202136
15 201833
16 201833
17 201929
18 201828
19 201624
20 201621

About Ming Sun

Ming Sun is a scholar working on Molecular Biology, Epidemiology, Structural Biology, Insect Science and Infectious Diseases, having authored 53 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (13 papers), RNA modifications and cancer (11 papers), Advanced Electron Microscopy Techniques and Applications (6 papers), Insect Resistance and Genetics (6 papers), Endoplasmic Reticulum Stress and Disease (5 papers), RNA Research and Splicing (4 papers), Heat shock proteins research (4 papers) and Protein Structure and Dynamics (3 papers). The work is most often cited by research in Structural Biology (231 citations), Insect Science (223 citations), Cellular and Molecular Neuroscience (292 citations), Surfaces, Coatings and Films (107 citations) and Molecular Biology (839 citations). Ming Sun has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Richard G. Vogt, Matthew E. Rogers, Joachim Frank, Michael R. Lerner, Sandip Kaledhonkar, Stephanie Pulliam, Nancy E. Kemeny, C. Gonzalez, Leonard B. Saltz and Jessica Conti. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Structure, PROTEOMICS and Journal of Experimental 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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