Stephen Soonthornvacharin

482 total citations
8 papers, 314 citations indexed

About

Stephen Soonthornvacharin is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Stephen Soonthornvacharin has authored 8 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 4 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Stephen Soonthornvacharin's work include interferon and immune responses (5 papers), Influenza Virus Research Studies (2 papers) and HIV Research and Treatment (2 papers). Stephen Soonthornvacharin is often cited by papers focused on interferon and immune responses (5 papers), Influenza Virus Research Studies (2 papers) and HIV Research and Treatment (2 papers). Stephen Soonthornvacharin collaborates with scholars based in United States, Germany and Switzerland. Stephen Soonthornvacharin's co-authors include Sumit K. Chanda, Sunnie M. Yoh, Paul D. De Jesus, Adolfo Garcı́a-Sastre, Renate König, Kevin C. Olivieri, Janna Seifried, David Germanaud, Monika Schneider and Pedro A. Ruiz and has published in prestigious journals such as Science, Cell and Oncogene.

In The Last Decade

Stephen Soonthornvacharin

8 papers receiving 314 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephen Soonthornvacharin United States	7	198	157	67	53	43	8	314
Atef Allam United States	11	237 1.2×	83 0.5×	74 1.1×	31 0.6×	30 0.7×	13	340
Maria Virgilio United States	8	74 0.4×	223 1.4×	67 1.0×	67 1.3×	33 0.8×	14	374
Yoshiko Kobune Japan	6	111 0.6×	138 0.9×	73 1.1×	36 0.7×	59 1.4×	6	357
Yasuyoshi Kanari Japan	9	161 0.8×	230 1.5×	115 1.7×	49 0.9×	64 1.5×	18	427
Jingwei Zeng United Kingdom	7	129 0.7×	233 1.5×	51 0.8×	22 0.4×	53 1.2×	11	340
Simone Joas Germany	6	80 0.4×	56 0.4×	72 1.1×	30 0.6×	36 0.8×	8	180
L. Kiss United Kingdom	7	82 0.4×	166 1.1×	43 0.6×	46 0.9×	31 0.7×	11	261
Madhuvanthi Vijayan United States	12	219 1.1×	262 1.7×	24 0.4×	59 1.1×	126 2.9×	14	415
Olga Buzovetsky United States	11	117 0.6×	358 2.3×	81 1.2×	39 0.7×	65 1.5×	13	487
Kamalpreet Arora United States	7	153 0.8×	272 1.7×	103 1.5×	33 0.6×	70 1.6×	8	402

Countries citing papers authored by Stephen Soonthornvacharin

Since Specialization

Citations

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

Fields of papers citing papers by Stephen Soonthornvacharin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Soonthornvacharin

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

All Works

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8 of 8 papers shown

Langer, Simon, Stephen Soonthornvacharin, Paul D. De Jesus, et al.. (2018). Large-Scale Arrayed Analysis of Protein Degradation Reveals Cellular Targets for HIV-1 Vpu. Cell Reports. 22(9). 2493–2503. 17 indexed citations

Pohl, Marie O., Ariel Rodríguez-Frandsen, Emilio Yángüez, et al.. (2017). Identification of Polo-like kinases as potential novel drug targets for influenza A virus. Scientific Reports. 7(1). 8629–8629. 14 indexed citations

Soonthornvacharin, Stephen, Ariel Rodríguez-Frandsen, Yingyao Zhou, et al.. (2017). Systems-based analysis of RIG-I-dependent signalling identifies KHSRP as an inhibitor of RIG-I receptor activation. Nature Microbiology. 2(5). 17022–17022. 27 indexed citations

Lau, Esther Yuet Ying, Cindy Sander, Yongmei Feng, et al.. (2015). Transcriptional repression of IFNβ1 by ATF2 confers melanoma resistance to therapy. Oncogene. 34(46). 5739–5748. 19 indexed citations

Yoh, Sunnie M., Monika Schneider, Janna Seifried, et al.. (2015). PQBP1 Is a Proximal Sensor of the cGAS-Dependent Innate Response to HIV-1. Cell. 161(6). 1293–1305. 158 indexed citations

De, Surya K., Bas Baaten, Bainan Wu, et al.. (2012). Identification of Small Molecules that Interfere with H1N1 Influenza A Viral Replication. ChemMedChem. 7(12). 2227–2235. 7 indexed citations

Huang, Yina H., Juris A. Grasis, Andrew T. Miller, et al.. (2008). Positive regulation of Itk PH domain function by soluble IP4 is required for thymocyte positive selection but dispensable for negative selection. The FASEB Journal. 22(S1). 1 indexed citations

Huang, Yina H., Juris A. Grasis, Andrew T. Miller, et al.. (2007). Positive Regulation of Itk PH Domain Function by Soluble IP ₄. Science. 316(5826). 886–889. 71 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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