Sungyong Won

1.4k total citations
16 papers, 1.1k citations indexed

About

Sungyong Won is a scholar working on Infectious Diseases, Ecology, Evolution, Behavior and Systematics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Sungyong Won has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Infectious Diseases, 10 papers in Ecology, Evolution, Behavior and Systematics and 9 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Sungyong Won's work include Viral Infections and Vectors (11 papers), Vector-Borne Animal Diseases (10 papers) and Mosquito-borne diseases and control (9 papers). Sungyong Won is often cited by papers focused on Viral Infections and Vectors (11 papers), Vector-Borne Animal Diseases (10 papers) and Mosquito-borne diseases and control (9 papers). Sungyong Won collaborates with scholars based in United States, France and Australia. Sungyong Won's co-authors include Shinji Makino, Tetsuro Ikegami, C. J. Peters, Krishna Narayanan, Wataru Kamitani, Kaori Terasaki, CJ Peters, Bruce Beutler, Eva Marie Y. Moresco and Ioannis Eleftherianos and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Journal of Virology.

In The Last Decade

Sungyong Won

16 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sungyong Won United States 14 885 523 329 266 127 16 1.1k
Psylvia Léger France 11 411 0.5× 198 0.4× 121 0.4× 198 0.7× 107 0.8× 13 584
Benjamin Brennan United Kingdom 19 784 0.9× 386 0.7× 144 0.4× 394 1.5× 214 1.7× 34 1.2k
Gjon Blakqori Germany 11 759 0.9× 362 0.7× 61 0.2× 317 1.2× 139 1.1× 11 1.1k
Ewan F. Dunn United States 12 455 0.5× 270 0.5× 73 0.2× 205 0.8× 170 1.3× 13 764
Ahmet Çarhan Türkiye 15 330 0.4× 179 0.3× 83 0.3× 200 0.8× 93 0.7× 36 552
Cheryl Walter United Kingdom 10 310 0.4× 193 0.4× 50 0.2× 108 0.4× 81 0.6× 14 499
María T. Franze‐Fernández Argentina 17 723 0.8× 84 0.2× 219 0.7× 190 0.7× 268 2.1× 27 1.0k
Jeremy P. Ramsey United States 6 122 0.1× 75 0.1× 332 1.0× 33 0.1× 71 0.6× 6 528
Eric Dahlstrom United States 14 305 0.3× 93 0.2× 45 0.1× 132 0.5× 105 0.8× 23 807
M. P. Chumakov Russia 15 646 0.7× 138 0.3× 128 0.4× 124 0.5× 176 1.4× 41 907

Countries citing papers authored by Sungyong Won

Since Specialization
Citations

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

Fields of papers citing papers by Sungyong Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sungyong Won

This figure shows the co-authorship network connecting the top 25 collaborators of Sungyong Won. A scholar is included among the top collaborators of Sungyong Won 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 Sungyong Won. Sungyong Won is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Chen, Zhe, William L. Holland, John M. Shelton, et al.. (2014). Mutation of mouse Samd4 causes leanness, myopathy, uncoupled mitochondrial respiration, and dysregulated mTORC1 signaling. Proceedings of the National Academy of Sciences. 111(20). 7367–7372. 35 indexed citations
2.
Terasaki, Kaori, Sungyong Won, & Shinji Makino. (2012). The C-Terminal Region of Rift Valley Fever Virus NSm Protein Targets the Protein to the Mitochondrial Outer Membrane and Exerts Antiapoptotic Function. Journal of Virology. 87(1). 676–682. 44 indexed citations
3.
Won, Sungyong, Céline Eidenschenk, Carrie Arnold, et al.. (2011). Increased Susceptibility to DNA Virus Infection in Mice with a GCN2 Mutation. Journal of Virology. 86(3). 1802–1808. 31 indexed citations
4.
Eleftherianos, Ioannis, Sungyong Won, Stanislava Chtarbanova, et al.. (2011). ATP-sensitive potassium channel (K ATP )–dependent regulation of cardiotropic viral infections. Proceedings of the National Academy of Sciences. 108(29). 12024–12029. 55 indexed citations
5.
Morrill, John C., Tetsuro Ikegami, Nandadeva Lokugamage, et al.. (2010). Rapid Accumulation of Virulent Rift Valley Fever Virus in Mice from an Attenuated Virus Carrying a Single Nucleotide Substitution in the M RNA. PLoS ONE. 5(4). e9986–e9986. 38 indexed citations
6.
Morrill, John C., Tetsuro Ikegami, Nandadeva Lokugamage, et al.. (2010). Correction: Rapid Accumulation of Virulent Rift Valley Fever Virus in Mice from an Attenuated Virus Carrying a Single Nucleotide Substitution in the M RNA. PLoS ONE. 5(4). 7 indexed citations
7.
Xia, Yu, Sungyong Won, Xin Du, et al.. (2010). Bulk Segregation Mapping of Mutations in Closely Related Strains of Mice. Genetics. 186(4). 1139–1146. 24 indexed citations
8.
Ikegami, Tetsuro, Krishna Narayanan, Sungyong Won, et al.. (2009). Rift Valley Fever Virus NSs Protein Promotes Post-Transcriptional Downregulation of Protein Kinase PKR and Inhibits eIF2α Phosphorylation. PLoS Pathogens. 5(2). e1000287–e1000287. 196 indexed citations
9.
Ikegami, Tetsuro, Krishna Narayanan, Sungyong Won, et al.. (2009). Dual Functions of Rift Valley Fever Virus NSs Protein: Inhibition of Host mRNA Transcription and Post‐transcriptional Downregulation of Protein Kinase PKR. Annals of the New York Academy of Sciences. 1171(s1). E75–85. 69 indexed citations
10.
Won, Sungyong. (2007). Reverse genetics system and fucntion of NSM protein of Rift Valley fever virus (family Bunyaviridae, genus phlebovirus). 1 indexed citations
11.
Ikegami, Tetsuro, Sungyong Won, C. J. Peters, & Shinji Makino. (2007). Characterization of Rift Valley Fever Virus Transcriptional Terminations. Journal of Virology. 81(16). 8421–8438. 47 indexed citations
12.
Won, Sungyong, Tetsuro Ikegami, C. J. Peters, & Shinji Makino. (2007). NSm Protein of Rift Valley Fever Virus Suppresses Virus-Induced Apoptosis. Journal of Virology. 81(24). 13335–13345. 156 indexed citations
13.
Ikegami, Tetsuro, Sungyong Won, C. J. Peters, & Shinji Makino. (2006). Rescue of Infectious Rift Valley Fever Virus Entirely from cDNA, Analysis of Virus Lacking the NSs Gene, and Expression of a Foreign Gene. Journal of Virology. 80(6). 2933–2940. 204 indexed citations
14.
Won, Sungyong, et al.. (2006). Characterization of Homologous Defective Interfering RNA during Persistent Infection of Vero Cells with Japanese Encephalitis Virus. Molecules and Cells. 21(1). 112–120. 24 indexed citations
15.
Won, Sungyong, Tetsuro Ikegami, C. J. Peters, & Shinji Makino. (2006). NSm and 78-Kilodalton Proteins of Rift Valley Fever Virus Are Nonessential for Viral Replication in Cell Culture. Journal of Virology. 80(16). 8274–8278. 89 indexed citations
16.
Ikegami, Tetsuro, Sungyong Won, CJ Peters, & Shinji Makino. (2005). Rift Valley Fever Virus NSs mRNA Is Transcribed from an Incoming Anti-Viral-Sense S RNA Segment. Journal of Virology. 79(18). 12106–12111. 74 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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