S. Hu

902 total citations
12 papers, 668 citations indexed

About

S. Hu is a scholar working on Molecular Biology, Epidemiology and Neurology. According to data from OpenAlex, S. Hu has authored 12 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Epidemiology and 3 papers in Neurology. Recurrent topics in S. Hu's work include Toxoplasma gondii Research Studies (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Adenosine and Purinergic Signaling (2 papers). S. Hu is often cited by papers focused on Toxoplasma gondii Research Studies (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Adenosine and Purinergic Signaling (2 papers). S. Hu collaborates with scholars based in United States, United Kingdom and China. S. Hu's co-authors include Chien‐Chung Chao, Thomas W. Molitor, Genya Gekker, Phillip K. Peterson, P K Peterson, Jack S. Remington, W J Novick, G. A. Cabral, James R. Lokensgard and Delphi Chatterjee and has published in prestigious journals such as The Journal of Immunology, The Journal of Infectious Diseases and Journal of Neuroimmunology.

In The Last Decade

S. Hu

12 papers receiving 650 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Hu United States 11 199 182 158 138 121 12 668
Márcia Carvalho Vilela Brazil 20 254 1.3× 210 1.2× 28 0.2× 229 1.7× 143 1.2× 28 853
Ed Remarque Netherlands 14 94 0.5× 247 1.4× 113 0.7× 563 4.1× 153 1.3× 17 1.1k
Chintan Chhatbar Germany 16 364 1.8× 115 0.6× 32 0.2× 373 2.7× 206 1.7× 26 954
Paulo Pereira Christo Brazil 15 142 0.7× 117 0.6× 19 0.1× 41 0.3× 89 0.7× 49 665
Mats Karlsson Sweden 11 127 0.6× 44 0.2× 242 1.5× 88 0.6× 94 0.8× 18 640
Suhas Sureshchandra United States 19 78 0.4× 171 0.9× 30 0.2× 318 2.3× 333 2.8× 47 1.1k
Ferdinand Maingat Canada 17 219 1.1× 167 0.9× 20 0.1× 203 1.5× 402 3.3× 19 1.1k
Annette Spreer Germany 17 102 0.5× 344 1.9× 91 0.6× 174 1.3× 153 1.3× 38 983
Tyson A. Woods United States 16 181 0.9× 104 0.6× 29 0.2× 180 1.3× 238 2.0× 26 756
Renee T. Carter United States 14 111 0.6× 217 1.2× 48 0.3× 187 1.4× 338 2.8× 49 1.0k

Countries citing papers authored by S. Hu

Since Specialization
Citations

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

Fields of papers citing papers by S. Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Hu

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

All Works

12 of 12 papers shown
1.
Hu, S., et al.. (2017). [Prevalence and risk factors of allergic rhinitis: a Meta-analysis].. PubMed. 31(19). 1485–1491. 17 indexed citations
2.
3.
Hu, S. & Yong Wang. (2014). Concept, Measurements, Antecedents and Consequences of Work Engagement. Advances in Psychological Science. 22(12). 1975–1975. 14 indexed citations
4.
Hu, S., et al.. (2013). Arecoline inhibits interleukin-2 secretion in Jurkat cells by decreasing the expression of alpha7-nicotinic acetylcholine receptors and prostaglandin E2.. PubMed. 64(5). 535–43. 10 indexed citations
5.
Scheper, Thomas, et al.. (2012). Advances in Biochemical Engineering Biotechnology. 17 indexed citations
6.
Sheng, Wen S., et al.. (2009). WIN55,212-2 Inhibits Production of CX3CL1 by Human Astrocytes: Involvement of p38 MAP Kinase. Journal of Neuroimmune Pharmacology. 4(2). 244–248. 32 indexed citations
7.
Peterson, Phillip K., Genya Gekker, S. Hu, G. A. Cabral, & James R. Lokensgard. (2003). Cannabinoids and morphine differentially affect HIV-1 expression in CD4+ lymphocyte and microglial cell cultures. Journal of Neuroimmunology. 147(1-2). 123–126. 51 indexed citations
8.
Peterson, Phillip K., et al.. (1995). Thalidomide Inhibits Tumor Necrosis Factor-  Production by Lipopolysaccharide- and Lipoarabinomannan-Stimulated Human Microglial Cells. The Journal of Infectious Diseases. 172(4). 1137–1140. 57 indexed citations
9.
Chao, Chien‐Chung, Genya Gekker, S. Hu, & P K Peterson. (1994). Human microglial cell defense against Toxoplasma gondii. The role of cytokines.. The Journal of Immunology. 152(3). 1246–1252. 126 indexed citations
10.
Peterson, Phillip K., Genya Gekker, S. Hu, & Chien‐Chung Chao. (1993). Intracellular Survival and Multiplication of Toxoplasma gondii in Astrocytes. The Journal of Infectious Diseases. 168(6). 1472–1478. 44 indexed citations
11.
Chao, Chien‐Chung, Thomas W. Molitor, & S. Hu. (1993). Neuroprotective role of IL-4 against activated microglia.. The Journal of Immunology. 151(3). 1473–1481. 192 indexed citations
12.
Chao, Chien‐Chung, S. Hu, Genya Gekker, et al.. (1993). Effects of cytokines on multiplication of Toxoplasma gondii in microglial cells. The Journal of Immunology. 150(8). 3404–3410. 72 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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