Ming Sun

5.1k total citations
53 papers, 1.6k citations indexed

About

Ming Sun is a scholar working on Molecular Biology, Epidemiology and Structural Biology. According to data from OpenAlex, Ming Sun has authored 53 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 7 papers in Epidemiology and 6 papers in Structural Biology. Recurrent topics in Ming Sun's work include RNA and protein synthesis mechanisms (13 papers), RNA modifications and cancer (11 papers) and Advanced Electron Microscopy Techniques and Applications (6 papers). Ming Sun is often cited by papers focused on RNA and protein synthesis mechanisms (13 papers), RNA modifications and cancer (11 papers) and Advanced Electron Microscopy Techniques and Applications (6 papers). Ming Sun collaborates with scholars based in China, United States and Sweden. Ming Sun's co-authors include Richard G. Vogt, Matthew E. Rogers, Joachim Frank, Michael R. Lerner, Sandip Kaledhonkar, Leonard B. Saltz, C. Gonzalez, Yijie Huang, Jessica Conti and Stephanie Pulliam and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Ming Sun

52 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ming Sun China 21 839 292 291 275 231 53 1.6k
Arne Moeller Germany 23 1.4k 1.6× 153 0.5× 210 0.7× 321 1.2× 335 1.5× 59 2.3k
Amédée des Georges United States 20 1.6k 1.9× 159 0.5× 105 0.4× 74 0.3× 159 0.7× 34 2.1k
Soung‐Hun Roh South Korea 23 1.2k 1.4× 147 0.5× 161 0.6× 62 0.2× 87 0.4× 44 1.6k
Mazdak Radjainia New Zealand 19 1.2k 1.4× 446 1.5× 107 0.4× 53 0.2× 238 1.0× 34 1.7k
Hariprasad Venugopal Australia 23 865 1.0× 160 0.5× 90 0.3× 48 0.2× 118 0.5× 60 1.4k
Catherine Vénien‐Bryan France 29 1.8k 2.2× 193 0.7× 118 0.4× 127 0.5× 75 0.3× 79 2.5k
Christian Hoffmann Germany 17 780 0.9× 82 0.3× 177 0.6× 73 0.3× 195 0.8× 39 1.5k
John M. Kenney United States 22 1.0k 1.2× 172 0.6× 143 0.5× 35 0.1× 44 0.2× 49 1.9k
Melanie D. Ohi United States 16 1.4k 1.7× 72 0.2× 104 0.4× 156 0.6× 107 0.5× 26 1.8k
Carla Inouye United States 25 2.6k 3.0× 69 0.2× 262 0.9× 197 0.7× 83 0.4× 28 3.0k

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-authorship network of co-authors of Ming Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Sun. A scholar is included among the top collaborators of Ming Sun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming Sun. Ming Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zheng, Jinshui, et al.. (2024). High-resolution transcriptome datasets during embryogenesis of plant-parasitic nematodes. Scientific Data. 11(1). 690–690.
2.
Sun, Ming, Caleigh M. Azumaya, Eric Tse, et al.. (2021). Practical considerations for using K3 cameras in CDS mode for high-resolution and high-throughput single particle cryo-EM. Journal of Structural Biology. 213(3). 107745–107745. 36 indexed citations
3.
Feng, Min, et al.. (2021). 3-Methyladenine but not antioxidants to overcome BACH2-mediated bortezomib resistance in mantle cell lymphoma. Cancer Cell International. 21(1). 279–279. 8 indexed citations
4.
Lv, Na, et al.. (2020). Management of oral medicine emergencies during COVID-19: A study to develop practise guidelines. Journal of Dental Sciences. 16(1). 493–500. 19 indexed citations
5.
Sun, Ming, et al.. (2019). The endoplasmic reticulum (ER) chaperones BiP and Grp94 selectively associate when BiP is in the ADP conformation. Journal of Biological Chemistry. 294(16). 6387–6396. 29 indexed citations
6.
Huang, Bin, Larry J. Friedman, Ming Sun, Jeff Gelles, & Timothy O. Street. (2019). Conformational Cycling within the Closed State of Grp94, an Hsp90-Family Chaperone. Journal of Molecular Biology. 431(17). 3312–3323. 12 indexed citations
7.
Fu, Ziao, Sandip Kaledhonkar, Ming Sun, et al.. (2019). The structural basis for release-factor activation during translation termination revealed by time-resolved cryogenic electron microscopy. Nature Communications. 10(1). 45 indexed citations
8.
Kaledhonkar, Sandip, Ziao Fu, Kelvin Caban, et al.. (2019). Late steps in bacterial translation initiation visualized using time-resolved cryo-EM. Nature. 570(7761). 400–404. 94 indexed citations
9.
Gao, Yuan, et al.. (2018). Validation of a HRGC–ECNI/LRMS method to monitor short-chain chlorinated paraffins in human plasma. Journal of Environmental Sciences. 75. 289–295. 38 indexed citations
10.
Feng, Xiangsong, Ziao Fu, Sandip Kaledhonkar, et al.. (2017). A Fast and Effective Microfluidic Spraying-Plunging Method for High-Resolution Single-Particle Cryo-EM. Structure. 25(4). 663–670.e3. 83 indexed citations
11.
Huang, Bin, et al.. (2016). Crowding Activates Heat Shock Protein 90. Journal of Biological Chemistry. 291(12). 6447–6455. 21 indexed citations
12.
Fu, Ziao, Sandip Kaledhonkar, Ming Sun, et al.. (2016). Key Intermediates in Ribosome Recycling Visualized by Time-Resolved Cryoelectron Microscopy. Structure. 24(12). 2092–2101. 52 indexed citations
13.
Chen, Bo, Sandip Kaledhonkar, Ming Sun, et al.. (2015). Structural Dynamics of Ribosome Subunit Association Studied by Mixing-Spraying Time-Resolved Cryogenic Electron Microscopy. Structure. 23(6). 1097–1105. 70 indexed citations
14.
Sun, Ming, et al.. (2015). Dynamical features of thePlasmodium falciparumribosome during translation. Nucleic Acids Research. 43(21). gkv991–gkv991. 37 indexed citations
15.
Ren, Qiaoyun, Ming Sun, Guiquan Guan, et al.. (2014). Susceptibility of the tick Haemaphysalis qinghaiensis to isolates of the fungus Metarhizium anisopliae in China. Experimental and Applied Acarology. 64(2). 253–258. 5 indexed citations
16.
17.
Gan, Pingping, et al.. (2010). Simultaneous determination of eight major constituents in the traditional Chinese medicine Shaoyao-Gancao - Tang by UPLC-PDA. Journal of Medicinal Plants Research. 4(24). 2615–2621. 6 indexed citations
18.
Sun, Ming. (2009). Proteomics Investigation of Mouse Hepatocarcinoma Cell Lines with Different Lymph Node Metastasis Capacities. Gaodeng xuexiao huaxue xuebao. 7 indexed citations
19.
Sun, Ming, et al.. (1998). [Synthesis of hirudin variant 1 (HV1) gene and primary study of expression in yeast].. PubMed. 20(5). 361–6. 1 indexed citations
20.
Rogers, Matthew E., Ming Sun, Michael R. Lerner, & Richard G. Vogt. (1997). Snmp-1, a Novel Membrane Protein of Olfactory Neurons of the Silk Moth Antheraea polyphemus with Homology to the CD36 Family of Membrane Proteins. Journal of Biological Chemistry. 272(23). 14792–14799. 180 indexed citations

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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