Shu-Chen Hung

443 total citations
9 papers, 346 citations indexed

About

Shu-Chen Hung is a scholar working on Immunology, Molecular Biology and Periodontics. According to data from OpenAlex, Shu-Chen Hung has authored 9 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Molecular Biology and 2 papers in Periodontics. Recurrent topics in Shu-Chen Hung's work include Oral microbiology and periodontitis research (2 papers), Immunotherapy and Immune Responses (2 papers) and Streptococcal Infections and Treatments (2 papers). Shu-Chen Hung is often cited by papers focused on Oral microbiology and periodontitis research (2 papers), Immunotherapy and Immune Responses (2 papers) and Streptococcal Infections and Treatments (2 papers). Shu-Chen Hung collaborates with scholars based in United States, Denmark and Netherlands. Shu-Chen Hung's co-authors include Elizabeth Mellins, David M. Ojcius, Jungnam Lee, Larry Johnson, Kalina R. Atanasova, Özlem Yilmaz, Wei Jiang, Claudia Macaubas, Lital N. Adler and Kartik Bhamidipati and has published in prestigious journals such as The Journal of Immunology, Frontiers in Immunology and Bioconjugate Chemistry.

In The Last Decade

Shu-Chen Hung

9 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shu-Chen Hung United States 8 139 127 79 47 31 9 346
María Laura Gabelloni Argentina 10 144 1.0× 216 1.7× 25 0.3× 86 1.8× 29 0.9× 10 409
Tamara Busch United States 9 166 1.2× 113 0.9× 89 1.1× 52 1.1× 11 0.4× 28 426
Zilong Deng China 11 135 1.0× 46 0.4× 91 1.2× 25 0.5× 12 0.4× 20 350
Małgorzata Benedyk‐Machaczka United States 11 369 2.7× 228 1.8× 247 3.1× 85 1.8× 52 1.7× 13 742
Yasuhiro Kawata Japan 10 158 1.1× 90 0.7× 120 1.5× 26 0.6× 76 2.5× 17 439
Masanori Matsuoka Japan 8 187 1.3× 97 0.8× 101 1.3× 17 0.4× 76 2.5× 15 368
A. Sugiyama Japan 11 103 0.7× 156 1.2× 118 1.5× 36 0.8× 89 2.9× 18 464
Yukinori Tanaka Japan 14 171 1.2× 265 2.1× 16 0.2× 18 0.4× 101 3.3× 36 615
Çağman Tan Türkiye 12 38 0.3× 167 1.3× 24 0.3× 42 0.9× 17 0.5× 47 340
Siavash Hassanpour Canada 6 58 0.4× 175 1.4× 114 1.4× 28 0.6× 47 1.5× 7 330

Countries citing papers authored by Shu-Chen Hung

Since Specialization
Citations

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

Fields of papers citing papers by Shu-Chen Hung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu-Chen Hung. 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 Shu-Chen Hung. The network helps show where Shu-Chen Hung may publish in the future.

Co-authorship network of co-authors of Shu-Chen Hung

This figure shows the co-authorship network connecting the top 25 collaborators of Shu-Chen Hung. A scholar is included among the top collaborators of Shu-Chen Hung 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 Shu-Chen Hung. Shu-Chen Hung 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.
Vallania, Francesco, Claudia Macaubas, Shu-Chen Hung, et al.. (2021). Multicohort Analysis Identifies Monocyte Gene Signatures to Accurately Monitor Subset-Specific Changes in Human Diseases. Frontiers in Immunology. 12. 659255–659255. 8 indexed citations
2.
Hansen, Jonas, Ana C. Mendes, Ioannis S. Chronakis, et al.. (2021). Carbon Nanotubes—Potent Carriers for Targeted Drug Delivery in Rheumatoid Arthritis. Pharmaceutics. 13(4). 453–453. 36 indexed citations
3.
Hung, Shu-Chen, Tieying Hou, Wei Jiang, et al.. (2019). Epitope Selection for HLA-DQ2 Presentation: Implications for Celiac Disease and Viral Defense. The Journal of Immunology. 202(9). 2558–2569. 9 indexed citations
4.
Almeida-da-Silva, Cássio Luiz Coutinho, Tamer Alpagot, Brian P. Roberts, et al.. (2019). Chlamydia pneumoniae is present in the dental plaque of periodontitis patients and stimulates an inflammatory response in gingival epithelial cells. Microbial Cell. 6(4). 197–208. 13 indexed citations
5.
Hansen, Jonas, Ana C. Mendes, Ioannis S. Chronakis, et al.. (2019). Citrullinated Peptide Epitope Targets Therapeutic Nanoparticles to Human Neutrophils. Bioconjugate Chemistry. 30(10). 2584–2593. 14 indexed citations
6.
Hung, Shu-Chen, et al.. (2018). Single-walled carbon nanotubes target neutrophils and Ly-6Chi monocytes and localize to joints in murine models of arthritis. The Journal of Immunology. 200(Supplement_1). 175.23–175.23. 3 indexed citations
7.
Adler, Lital N., Wei Jiang, Kartik Bhamidipati, et al.. (2017). The Other Function: Class II-Restricted Antigen Presentation by B Cells. Frontiers in Immunology. 8. 319–319. 108 indexed citations
8.
Johnson, Larry, Kalina R. Atanasova, Jungnam Lee, et al.. (2015). Porphyromonas gingivalis attenuates ATP-mediated inflammasome activation and HMGB1 release through expression of a nucleoside-diphosphate kinase. Microbes and Infection. 17(5). 369–377. 54 indexed citations
9.
Johnson, Larry, JoAnn S. Roberts, Shu-Chen Hung, et al.. (2015). Fusobacterium nucleatuminfection of gingival epithelial cells leads to NLRP3 inflammasome-dependent secretion of IL-1β and the danger signals ASC and HMGB1. Cellular Microbiology. 18(7). 970–981. 101 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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