Shuoguo Wang

4.1k total citations
20 papers, 711 citations indexed

About

Shuoguo Wang is a scholar working on Molecular Biology, Genetics and Cognitive Neuroscience. According to data from OpenAlex, Shuoguo Wang has authored 20 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Cognitive Neuroscience. Recurrent topics in Shuoguo Wang's work include Neural dynamics and brain function (4 papers), Acute Myeloid Leukemia Research (3 papers) and Genomics and Rare Diseases (3 papers). Shuoguo Wang is often cited by papers focused on Neural dynamics and brain function (4 papers), Acute Myeloid Leukemia Research (3 papers) and Genomics and Rare Diseases (3 papers). Shuoguo Wang collaborates with scholars based in United States, China and Sweden. Shuoguo Wang's co-authors include Jinchuan Xing, Gang Wu, Carmen C. Canavier, Jimin Song, Aurélie Kapusta, Cédric Feschotte, Hongseok Ha, John Easton, Kevin C. Chen and Jason R. Schwartz and has published in prestigious journals such as Nature Communications, Blood and Journal of Neurophysiology.

In The Last Decade

Shuoguo Wang

20 papers receiving 705 citations

Peers

Shuoguo Wang

GENET

HEMAT

EPIDE

James Kelley United States

Cindy Meadows United States

Xiaofei Bai China

Matthew S. Hestand United States

Rachele Antonacci Italy

Roberto Malinverni Spain

Ian T. Fiddes United States

Robert W. Allen United States

Guoqiang Yi China

R. Thomas Taggart United States

James Kelley United States

Shuoguo Wang

287 ×1.1

166 ×0.7

GENET

58 ×0.5

HEMAT

38 ×0.4

64 ×0.7

EPIDE

Citations per year, relative to Shuoguo Wang Shuoguo Wang (= 1×) peers James Kelley

Countries citing papers authored by Shuoguo Wang

Since Specialization

Citations

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

Fields of papers citing papers by Shuoguo Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shuoguo Wang

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

All Works

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20 of 20 papers shown

Gao, Yuan, et al.. (2023). The analysis of frictional rolling contact behavior and key affecting factors on uneven wear in a switch panel. Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit. 237(9). 1185–1194. 1 indexed citations

Chen, Wenan, et al.. (2022). A rare variant analysis framework using public genotype summary counts to prioritize disease-predisposition genes. Nature Communications. 13(1). 2592–2592. 9 indexed citations

Xu, Ke, Liang Ding, Ti‐Cheng Chang, et al.. (2018). Structure and evolution of double minutes in diagnosis and relapse brain tumors. Acta Neuropathologica. 137(1). 123–137. 59 indexed citations

Schwartz, Jason R., Michael P. Walsh, Jing Ma, et al.. (2018). Clonal dynamics of donor-derived myelodysplastic syndrome after unrelated hematopoietic cell transplantation for high-risk pediatric B-lymphoblastic leukemia. Molecular Case Studies. 4(5). a002980–a002980. 4 indexed citations

Schwartz, Jason R., Jing Ma, Tamara Lamprecht, et al.. (2017). The genomic landscape of pediatric myelodysplastic syndromes. Nature Communications. 8(1). 1557–1557. 130 indexed citations

Rustagi, Navin, Anbo Zhou, W. Scott Watkins, et al.. (2017). Extremely low-coverage whole genome sequencing in South Asians captures population genomics information. BMC Genomics. 18(1). 396–396. 15 indexed citations

Li, Chong, Shuoguo Wang, Robert Carter, et al.. (2017). Genetic evolution of influenza H9N2 viruses isolated from various hosts in China from 1994 to 2013. Emerging Microbes & Infections. 6(1). 1–11. 52 indexed citations

Schwartz, Jason R., Michael P. Walsh, Jing Ma, et al.. (2016). The Genomic Landscape of Pediatric Myelodysplastic Syndromes. Blood. 128(22). 956–956. 17 indexed citations

Chaudhry, Amarjit S., Bhagwat Prasad, Yoshiyuki Shirasaka, et al.. (2015). The CYP2C19 Intron 2 Branch Point SNP is the Ancestral Polymorphism Contributing to the Poor Metabolizer Phenotype in Livers with CYP2C19*35 and CYP2C19*2 Alleles. Drug Metabolism and Disposition. 43(8). 1226–1235. 25 indexed citations

10.

Wei, Yandi, Guanlong Xu, Guozhong Zhang, et al.. (2015). Antigenic evolution of H9N2 chicken influenza viruses isolated in China during 2009–2013 and selection of a candidate vaccine strain with broad cross-reactivity. Veterinary Microbiology. 182. 1–7. 40 indexed citations

11.

Fan, Zhenxin, Pedro Silva, Ilan Gronau, et al.. (2015). Worldwide patterns of genomic variation and admixture in gray wolves. Genome Research. 26(2). 163–173. 130 indexed citations

12.

Ha, Hongseok, Jimin Song, Shuoguo Wang, et al.. (2014). A comprehensive analysis of piRNAs from adult human testis and their relationship with genes and mobile elements. BMC Genomics. 15(1). 545–545. 97 indexed citations

13.

Wang, Shuoguo, Joseph Lachance, Sarah A. Tishkoff, Jody Hey, & Jinchuan Xing. (2013). Apparent Variation in Neanderthal Admixture among African Populations is Consistent with Gene Flow from Non-African Populations. Genome Biology and Evolution. 5(11). 2075–2081. 28 indexed citations

14.

Canavier, Carmen C., Shuoguo Wang, & Lakshmi Chandrasekaran. (2013). Effect of phase response curve skew on synchronization with and without conduction delays. Frontiers in Neural Circuits. 7. 194–194. 12 indexed citations

15.

Wang, Shuoguo, et al.. (2013). Hippocampal CA1 pyramidal neurons exhibit type 1 phase-response curves and type 1 excitability. Journal of Neurophysiology. 109(11). 2757–2766. 17 indexed citations

16.

Wang, Shuoguo & Jinchuan Xing. (2013). A Primer for Disease Gene Prioritization Using Next-Generation Sequencing Data. Genomics & Informatics. 11(4). 191–191. 9 indexed citations

17.

Wang, Shuoguo, Lakshmi Chandrasekaran, Fernando R. Fernandez, John A. White, & Carmen C. Canavier. (2012). Short Conduction Delays Cause Inhibition Rather than Excitation to Favor Synchrony in Hybrid Neuronal Networks of the Entorhinal Cortex. PLoS Computational Biology. 8(1). e1002306–e1002306. 26 indexed citations

18.

Rui, Zhe, Min Ye, Shuoguo Wang, et al.. (2012). Insights into a Divergent Phenazine Biosynthetic Pathway Governed by a Plasmid-Born Esmeraldin Gene Cluster. Chemistry & Biology. 19(9). 1116–1125. 37 indexed citations

19.

Wang, Shuoguo, Lakshmi Chandrasekaran, Fernando R. Fernandez, John A. White, & Carmen C. Canavier. (2010). PRC skewness determines synchronization properties of pulse coupled circuits with delay. BMC Neuroscience. 11(S1). 1 indexed citations

20.

Fu, Yili, et al.. (2006). Topological Analysis and Control on Mobile Robot with Partially-Failed Propulsive Wheel. 25. 3440–3445. 2 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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