Chien-Sin Chen

1.3k total citations
9 papers, 362 citations indexed

About

Chien-Sin Chen is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Chien-Sin Chen has authored 9 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 2 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Chien-Sin Chen's work include Herpesvirus Infections and Treatments (2 papers), Viral-associated cancers and disorders (2 papers) and Immune Response and Inflammation (2 papers). Chien-Sin Chen is often cited by papers focused on Herpesvirus Infections and Treatments (2 papers), Viral-associated cancers and disorders (2 papers) and Immune Response and Inflammation (2 papers). Chien-Sin Chen collaborates with scholars based in Switzerland, Germany and Taiwan. Chien-Sin Chen's co-authors include Christoph Scheiermann, Wenyan He, Robert Pick, Jasmin Weber, Sophia Martina Hergenhan, Alba de Juan, Louise M. Ince, Stephan Holtkamp, Michel Aurrand‐Lions and Susanne Bierschenk and has published in prestigious journals such as The Journal of Experimental Medicine, Immunity and The Journal of Immunology.

In The Last Decade

Chien-Sin Chen

9 papers receiving 362 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chien-Sin Chen Switzerland	7	155	130	111	69	33	9	362
Sophia Martina Hergenhan Switzerland	3	190 1.2×	69 0.5×	113 1.0×	52 0.8×	10 0.3×	3	302
Stephan Holtkamp Germany	3	190 1.2×	69 0.5×	113 1.0×	52 0.8×	10 0.3×	4	302
Mélodie Bonvalet France	9	75 0.5×	71 0.5×	84 0.8×	81 1.2×	39 1.2×	12	401
Lydia K. Lutes United States	8	82 0.5×	92 0.7×	55 0.5×	45 0.7×	34 1.0×	10	246
Jinhao Xu China	8	66 0.4×	170 1.3×	174 1.6×	82 1.2×	37 1.1×	12	490
Linh Aven United States	8	39 0.3×	37 0.3×	104 0.9×	76 1.1×	9 0.3×	8	326
Eva Rosa Petersen Denmark	10	71 0.5×	101 0.8×	27 0.2×	33 0.5×	60 1.8×	13	442
N Rajora Italy	4	282 1.8×	147 1.1×	72 0.6×	77 1.1×	25 0.8×	5	606
Marcia Grando Guereschi Brazil	8	29 0.2×	130 1.0×	64 0.6×	88 1.3×	36 1.1×	15	412
Jun‐ichi Ohkubo Japan	10	107 0.7×	9 0.1×	76 0.7×	54 0.8×	24 0.7×	57	355

Countries citing papers authored by Chien-Sin Chen

Since Specialization

Citations

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

Fields of papers citing papers by Chien-Sin Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chien-Sin Chen

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

All Works

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9 of 9 papers shown

1.

Zhang, Y., Kazuo Kurihara, James H. Liu, et al.. (2024). Agonism of the glutamate receptor GluK2 suppresses dermal mast cell activation and cutaneous inflammation. Science Translational Medicine. 16(777). eadq9133–eadq9133. 6 indexed citations

2.

Chen, Chien-Sin, Jasmin Weber, Stephan Holtkamp, et al.. (2021). Loss of direct adrenergic innervation after peripheral nerve injury causes lymph node expansion through IFN-γ. The Journal of Experimental Medicine. 218(8). 23 indexed citations

3.

Bogoslowski, Ania, Sathi Wijeyesinghe, Chien-Sin Chen, et al.. (2020). Neutrophils Recirculate through Lymph Nodes to Survey Tissues for Pathogens. The Journal of Immunology. 204(9). 2552–2561. 37 indexed citations

4.

Chen, Chien-Sin, Coline Barnoud, & Christoph Scheiermann. (2020). Peripheral neurotransmitters in the immune system. Current Opinion in Physiology. 19. 73–79. 18 indexed citations

5.

Pick, Robert, Wenyan He, Chien-Sin Chen, & Christoph Scheiermann. (2019). Time-of-Day-Dependent Trafficking and Function of Leukocyte Subsets. Trends in Immunology. 40(6). 524–537. 84 indexed citations

6.

He, Wenyan, Stephan Holtkamp, Sophia Martina Hergenhan, et al.. (2018). Circadian Expression of Migratory Factors Establishes Lineage-Specific Signatures that Guide the Homing of Leukocyte Subsets to Tissues. Immunity. 49(6). 1175–1190.e7. 158 indexed citations

7.

Chen, Chien-Sin, et al.. (2017). TRIM5α Promotes Ubiquitination of Rta from Epstein–Barr Virus to Attenuate Lytic Progression. Frontiers in Microbiology. 7. 2129–2129. 16 indexed citations

8.

Tsai, Chih‐Ming, Hsin‐Yi Wu, Chu‐Wei Kuo, et al.. (2014). Phosphoproteomic analyses reveal that galectin-1 augments the dynamics of B-cell receptor signaling. Journal of Proteomics. 103. 241–253. 15 indexed citations

9.

Chen, Chun‐Chi, et al.. (2010). Enhancement of Zta-activated lytic transcription of Epstein-Barr virus by Ku80. Journal of General Virology. 92(3). 661–668. 5 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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