Chien‐Sheng Chen

3.3k total citations
99 papers, 2.2k citations indexed

About

Chien‐Sheng Chen is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Organic Chemistry. According to data from OpenAlex, Chien‐Sheng Chen has authored 99 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 21 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Organic Chemistry. Recurrent topics in Chien‐Sheng Chen's work include Advanced Biosensing Techniques and Applications (21 papers), Monoclonal and Polyclonal Antibodies Research (20 papers) and Glycosylation and Glycoproteins Research (14 papers). Chien‐Sheng Chen is often cited by papers focused on Advanced Biosensing Techniques and Applications (21 papers), Monoclonal and Polyclonal Antibodies Research (20 papers) and Glycosylation and Glycoproteins Research (14 papers). Chien‐Sheng Chen collaborates with scholars based in Taiwan, United States and China. Chien‐Sheng Chen's co-authors include Heng Zhu, Wen‐Yih Chen, F.X. Reymond Sutandy, Richard A. Durst, P. M. Shah, Sheng‐ce Tao, Jiang Qian, Chun‐Jen Huang, Shih‐Hsiung Wu and Meng‐Yu Wu and has published in prestigious journals such as Angewandte Chemie International Edition, PLoS ONE and Analytical Chemistry.

In The Last Decade

Chien‐Sheng Chen

97 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chien‐Sheng Chen Taiwan 26 1.2k 280 242 218 215 99 2.2k
Mark Gumbleton United Kingdom 36 1.5k 1.3× 408 1.5× 193 0.8× 129 0.6× 130 0.6× 122 4.1k
Liyan Chen China 29 952 0.8× 212 0.8× 197 0.8× 66 0.3× 204 0.9× 101 3.0k
Carrie Sun United States 12 1.5k 1.3× 375 1.3× 162 0.7× 196 0.9× 61 0.3× 20 2.8k
Ken‐ichi Izutsu Japan 34 1.9k 1.6× 344 1.2× 111 0.5× 104 0.5× 264 1.2× 151 4.1k
Ashim K. Mitra United States 35 1.6k 1.4× 337 1.2× 251 1.0× 97 0.4× 789 3.7× 64 5.1k
Michael J. Kelso Australia 30 1.6k 1.3× 259 0.9× 715 3.0× 174 0.8× 98 0.5× 82 3.2k
Mariko Morishita Japan 44 2.0k 1.7× 536 1.9× 389 1.6× 193 0.9× 165 0.8× 112 5.9k
Shujing Wang China 28 2.4k 2.0× 333 1.2× 186 0.8× 328 1.5× 242 1.1× 190 3.6k
Gang Wei China 33 1.5k 1.3× 649 2.3× 344 1.4× 320 1.5× 202 0.9× 96 4.0k
Nerida Cole Australia 32 603 0.5× 192 0.7× 252 1.0× 460 2.1× 452 2.1× 76 2.5k

Countries citing papers authored by Chien‐Sheng Chen

Since Specialization
Citations

This map shows the geographic impact of Chien‐Sheng 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‐Sheng 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‐Sheng Chen more than expected).

Fields of papers citing papers by Chien‐Sheng Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chien‐Sheng Chen

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

All Works

20 of 20 papers shown
1.
Chen, Kevin, et al.. (2025). Autoantibody profiling of autism spectrum disorder patients with monoamine oxidase a deficiency. Brain Behavior & Immunity - Health. 47. 101039–101039.
2.
Lin, Chia‐Chi & Chien‐Sheng Chen. (2025). Bacterial proteome microarray technology in biomedical research. Trends in biotechnology. 43(6). 1317–1327.
3.
Chen, Chien‐Sheng, et al.. (2024). Reverse-Phase Protein Microarrays for Overexpressed Escherichia coli Lysates Reveal a Novel Tyrosine Kinase. Analytical Chemistry. 96(21). 8721–8729. 1 indexed citations
4.
5.
Chang, Yi‐Wen, Charles Pin‐Kuang Lai, Nai‐Wen Chang, et al.. (2023). Ectopic ATP synthase stimulates the secretion of extracellular vesicles in cancer cells. Communications Biology. 6(1). 642–642. 10 indexed citations
6.
Herianto, Samuel, et al.. (2022). Recent advances in liposome development for studying protein-lipid interactions. Critical Reviews in Biotechnology. 44(1). 1–14. 5 indexed citations
7.
Shah, P. M. & Chien‐Sheng Chen. (2022). Systematic Screening of Penetratin’s Protein Targets by Yeast Proteome Microarrays. International Journal of Molecular Sciences. 23(2). 712–712. 4 indexed citations
8.
Shah, P. M. & Chien‐Sheng Chen. (2021). Systematical Screening of Intracellular Protein Targets of Polyphemusin-I Using Escherichia coli Proteome Microarrays. International Journal of Molecular Sciences. 22(17). 9158–9158. 5 indexed citations
9.
Herianto, Samuel, Jagat Rathod, P. M. Shah, et al.. (2020). Systematic Analysis of Phosphatidylinositol-5-phosphate-Interacting Proteins Using Yeast Proteome Microarrays. Analytical Chemistry. 93(2). 868–877. 12 indexed citations
10.
Chen, Yulong, et al.. (2020). Pediatric Spontaneous Pneumomediastinum after a Push-Up Exercise: An Uncommon Complication of a Common Exercise. Children. 7(12). 287–287. 4 indexed citations
11.
Chang, Chun‐Yu, et al.. (2020). Two-Thumb or Two-Finger Technique in Infant Cardiopulmonary Resuscitation by a Single Rescuer? A Meta-Analysis with GOSH Analysis. International Journal of Environmental Research and Public Health. 17(14). 5214–5214. 6 indexed citations
12.
Chen, Chien‐Sheng, et al.. (2020). Anti-cancer therapeutic benefit of red guava extracts as a potential therapy in combination with doxorubicin or targeted therapy for triple-negative breast cancer cells. International Journal of Medical Sciences. 17(8). 1015–1022. 16 indexed citations
13.
Li, Chia‐Jung, Chien‐Sheng Chen, Giou‐Teng Yiang, et al.. (2019). Advanced Evolution of Pathogenesis Concepts in Cardiomyopathies. Journal of Clinical Medicine. 8(4). 520–520. 16 indexed citations
14.
Chen, Yi-Wen, et al.. (2019). Protein interactome analysis of iduronic acid-containing glycosaminoglycans reveals a novel flagellar invasion factor MbhA. Journal of Proteomics. 208. 103485–103485. 5 indexed citations
15.
Chen, Chien‐Sheng, et al.. (2017). High-Throughput Screening of Sulfated Proteins by Using a Genome-Wide Proteome Microarray and Protein Tyrosine Sulfation System. Analytical Chemistry. 89(6). 3278–3284. 15 indexed citations
16.
Sung, Tzu‐Cheng, Wen‐Yih Chen, P. M. Shah, & Chien‐Sheng Chen. (2016). A replaceable liposomal aptamer for the ultrasensitive and rapid detection of biotin. Scientific Reports. 6(1). 21369–21369. 13 indexed citations
17.
Horng, Huann-Cheng, et al.. (2012). Review of myomectomy. Taiwanese Journal of Obstetrics and Gynecology. 51(1). 7–11. 21 indexed citations
18.
Lu, Kuan‐Yi, Sheng‐ce Tao, Chen-Ching Lin, et al.. (2012). Profiling Lipid–protein Interactions Using Nonquenched Fluorescent Liposomal Nanovesicles and Proteome Microarrays. Molecular & Cellular Proteomics. 11(11). 1177–1190. 33 indexed citations
19.
20.
Lee, Jinq‐Chyi, Chien‐Sheng Chen, Yuh‐Sheng Wen, et al.. (2004). From D‐Glucose to Biologically Potent L‐Hexose Derivatives: Synthesis of α‐L‐Iduronidase Fluorogenic Detector and the Disaccharide Moieties of Bleomycin A2 and Heparan Sulfate. Chemistry - A European Journal. 10(2). 399–415. 49 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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