Shugui Wang

3.9k total citations · 1 hit paper
9 papers, 2.9k citations indexed

About

Shugui Wang is a scholar working on Molecular Biology, Nutrition and Dietetics and Pharmacy. According to data from OpenAlex, Shugui Wang has authored 9 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Nutrition and Dietetics and 3 papers in Pharmacy. Recurrent topics in Shugui Wang's work include Gut microbiota and health (5 papers), Infant Nutrition and Health (4 papers) and Infant Health and Development (3 papers). Shugui Wang is often cited by papers focused on Gut microbiota and health (5 papers), Infant Nutrition and Health (4 papers) and Infant Health and Development (3 papers). Shugui Wang collaborates with scholars based in Singapore, Sweden and Netherlands. Shugui Wang's co-authors include Sven Pettersson, Martin L. Hibberd, Britta Björkholm, Yu Qian, Annika Samuelsson, Hans Forssberg, Rochellys Diaz Heijtz, Yuan Kun Lee, Jan Knol and Ingrid B. Renes and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Shugui Wang

9 papers receiving 2.8k citations

Hit Papers

Normal gut microbiota modulates brain development and beh... 2011 2026 2016 2021 2011 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shugui Wang Singapore 9 2.0k 734 707 409 305 9 2.9k
Yu Qian China 17 2.2k 1.1× 881 1.2× 803 1.1× 427 1.0× 401 1.3× 33 3.4k
Jeffrey D. Galley United States 20 1.9k 1.0× 752 1.0× 677 1.0× 374 0.9× 288 0.9× 36 2.9k
Sara W. McBride United States 10 2.0k 1.0× 632 0.9× 539 0.8× 310 0.8× 279 0.9× 11 3.3k
Britta Björkholm Sweden 15 2.1k 1.1× 726 1.0× 717 1.0× 425 1.0× 292 1.0× 21 3.6k
Rochellys Diaz Heijtz Sweden 22 2.3k 1.2× 956 1.3× 853 1.2× 458 1.1× 475 1.6× 41 3.7k
Annika Samuelsson Sweden 9 1.8k 0.9× 710 1.0× 652 0.9× 376 0.9× 288 0.9× 12 2.7k
Janet Chow United States 8 2.4k 1.2× 669 0.9× 674 1.0× 389 1.0× 287 0.9× 9 3.7k
Marianne V. Chew Canada 20 2.2k 1.1× 999 1.4× 1.0k 1.4× 507 1.2× 316 1.0× 30 3.9k
Sophia Hsien United States 1 1.7k 0.8× 565 0.8× 515 0.7× 296 0.7× 223 0.7× 4 2.4k
Viorica Braniste France 13 1.9k 0.9× 833 1.1× 855 1.2× 407 1.0× 168 0.6× 19 2.9k

Countries citing papers authored by Shugui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shugui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shugui Wang

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

All Works

9 of 9 papers shown
1.
Chen, Zhe, Guangli Yan, Yang Yu, et al.. (2022). Rapid characterization of chemical constituents in Naoling Pian by LC‐MS combined with data processing techniques. Journal of Separation Science. 45(18). 3431–3442. 8 indexed citations
2.
Wang, Shugui, et al.. (2021). Impact of synbiotics on gut microbiota during early life: a randomized, double-blind study. Scientific Reports. 11(1). 3534–3534. 42 indexed citations
3.
Wang, Shugui, Louise Harvey, Rocı́o Martı́n, et al.. (2018). Targeting the gut microbiota to influence brain development and function in early life. Neuroscience & Biobehavioral Reviews. 95. 191–201. 64 indexed citations
4.
Moya-Pérez, Ángela, Pauline Luczynski, Ingrid B. Renes, et al.. (2017). Intervention strategies for cesarean section–induced alterations in the microbiota-gut-brain axis. Nutrition Reviews. 75(4). 225–240. 69 indexed citations
5.
Wang, Shugui, Martin L. Hibberd, Sven Pettersson, & Yuan Kun Lee. (2014). Enterococcus faecalis from Healthy Infants Modulates Inflammation through MAPK Signaling Pathways. PLoS ONE. 9(5). e97523–e97523. 81 indexed citations
6.
Nookaew, Intawat, Kaisa Thorell, Shugui Wang, et al.. (2013). Transcriptome signatures in Helicobacter pylori-infected mucosa identifies acidic mammalian chitinase loss as a corpus atrophy marker. BMC Medical Genomics. 6(1). 41–41. 49 indexed citations
7.
Heijtz, Rochellys Diaz, Shugui Wang, Yu Qian, et al.. (2011). Normal gut microbiota modulates brain development and behavior. Proceedings of the National Academy of Sciences. 108(7). 3047–3052. 2431 indexed citations breakdown →
8.
Wang, Shugui, et al.. (2008). Infant intestinal Enterococcus faecalis down-regulates infl ammatory responses in human intestinal cell lines. World Journal of Gastroenterology. 14(7). 1067–1067. 35 indexed citations
9.
Are, Alexandra, Linda Aronsson, Shugui Wang, et al.. (2008). Enterococcus faecalis from newborn babies regulate endogenous PPARγ activity and IL-10 levels in colonic epithelial cells. Proceedings of the National Academy of Sciences. 105(6). 1943–1948. 118 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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