Shann-Ching Chen

2.9k total citations
21 papers, 524 citations indexed

About

Shann-Ching Chen is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Hematology. According to data from OpenAlex, Shann-Ching Chen has authored 21 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Public Health, Environmental and Occupational Health and 5 papers in Hematology. Recurrent topics in Shann-Ching Chen's work include Acute Lymphoblastic Leukemia research (6 papers), Cell Image Analysis Techniques (5 papers) and Chronic Myeloid Leukemia Treatments (4 papers). Shann-Ching Chen is often cited by papers focused on Acute Lymphoblastic Leukemia research (6 papers), Cell Image Analysis Techniques (5 papers) and Chronic Myeloid Leukemia Treatments (4 papers). Shann-Ching Chen collaborates with scholars based in United States, Taiwan and Argentina. Shann-Ching Chen's co-authors include Robert F. Murphy, Ping Lu, Elaine Fuchs, H. Amalia Pasolli, Neha Sharma, Cédric Blanpain, Ana Sofia Rocha, Lisa Polak, Geoffrey J. Gordon and Ting Zhao and has published in prestigious journals such as Cell, The Journal of Experimental Medicine and Blood.

In The Last Decade

Shann-Ching Chen

21 papers receiving 509 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shann-Ching Chen United States 10 227 93 84 78 74 21 524
Despina Soteriou Germany 12 233 1.0× 30 0.3× 68 0.8× 117 1.5× 20 0.3× 18 542
Quy Nguyen United States 14 579 2.6× 40 0.4× 422 5.0× 67 0.9× 101 1.4× 27 1.2k
Shuxiong Wang United States 7 283 1.2× 64 0.7× 87 1.0× 49 0.6× 27 0.4× 8 403
Adam R. Stabell United States 5 221 1.0× 46 0.5× 43 0.5× 43 0.6× 27 0.4× 5 349
Axel A. Almet United States 11 353 1.6× 87 0.9× 120 1.4× 65 0.8× 51 0.7× 17 611
Veronica Klepeis United States 14 225 1.0× 12 0.1× 161 1.9× 73 0.9× 48 0.6× 25 907
Wenlian Qiao United States 9 220 1.0× 11 0.1× 75 0.9× 87 1.1× 10 0.1× 14 542
Gency Gunasingh Australia 11 227 1.0× 24 0.3× 126 1.5× 45 0.6× 8 0.1× 14 472
Paweł Kocieniewski United States 8 632 2.8× 15 0.2× 124 1.5× 226 2.9× 30 0.4× 8 836
Kyle Coleman United States 12 550 2.4× 110 1.2× 50 0.6× 29 0.4× 10 0.1× 28 975

Countries citing papers authored by Shann-Ching Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shann-Ching Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shann-Ching Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shann-Ching Chen. A scholar is included among the top collaborators of Shann-Ching 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 Shann-Ching Chen. Shann-Ching 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, Chih-Chi, Carl P. C. Chen, Chia-Ying Chung, et al.. (2023). Predicting the Risk of Total Hip Replacement by Using A Deep Learning Algorithm on Plain Pelvic Radiographs: Diagnostic Study. JMIR Formative Research. 7. e42788–e42788. 6 indexed citations
2.
Chen, Chih-Chi, Wei‐Cheng Lin, Chi‐Tung Cheng, et al.. (2023). The Feasibility and Performance of Total Hip Replacement Prediction Deep Learning Algorithm with Real World Data. Bioengineering. 10(4). 458–458. 3 indexed citations
3.
Bhattacharya, Sanchita, Jian Li, Alexandra Sockell, et al.. (2018). Whole-genome sequencing of Atacama skeleton shows novel mutations linked with dysplasia. Genome Research. 28(4). 423–431. 10 indexed citations
4.
Wong, Jasmine C., Scott C. Kogan, Michael R. Burgess, et al.. (2015). Functional evidence implicating chromosome 7q22 haploinsufficiency in myelodysplastic syndrome pathogenesis. eLife. 4. 15 indexed citations
5.
Zhou, Sheng, Laura J. Janke, Michelle L. Churchman, et al.. (2014). Interleukin-7 receptor mutants initiate early T cell precursor leukemia in murine thymocyte progenitors with multipotent potential. The Journal of Experimental Medicine. 211(4). 701–713. 75 indexed citations
6.
Wu, Vin‐Cent, Cho‐Kai Wu, Yi‐Cheng Chang, et al.. (2013). Association of the variations in the HSD3β gene with primary aldosteronism. Journal of Hypertension. 31(7). 1396–1405. 8 indexed citations
7.
Xu, Jin, Kevin M. Haigis, Ari J. Firestone, et al.. (2013). Dominant Role of Oncogene Dosage and Absence of Tumor Suppressor Activity in Nras-Driven Hematopoietic Transformation. DSpace@MIT (Massachusetts Institute of Technology). 2 indexed citations
8.
Dail, Monique, Jason W.H. Wong, Jessica Lawrence, et al.. (2013). Preclinical Testing Of a PI3K Inhibitor In T Lineage Leukemia: Target Validation and Notch1/Myc Down-Regulation In Drug Resistant Clones. Blood. 122(21). 2677–2677. 1 indexed citations
9.
Churchman, Michelle L., Jonathan Low, Debbie Payne-Turner, et al.. (2013). High Content Screening Identifies Synthetic Lethality Of Retinoid Receptor Agonists In IKZF1-Mutated BCR-ABL1 positive Acute Lymphoblastic Leukemia. Blood. 122(21). 172–172. 1 indexed citations
10.
Lu, Ping, Lisa Polak, Ana Sofia Rocha, et al.. (2012). Identification of Stem Cell Populations in Sweat Glands and Ducts Reveals Roles in Homeostasis and Wound Repair. Cell. 150(1). 136–150. 234 indexed citations
11.
Collins-Underwood, J. Racquel, Nidal Boulos, Debbie Payne-Turner, et al.. (2010). The Role of Dominant-Negative IKAROS Mutations In the Pathogenesis and Treatment Responsiveness of BCR-ABL1 positive Acute Lymphoblastic Leukemia. Blood. 116(21). 540–540. 2 indexed citations
12.
13.
Nakitandwe, Joy, Shann-Ching Chen, Noel Lenny, et al.. (2010). Acute Lymphoblastic Leukemia-Associated PAX5 Mutations Induce Aberrant B Cell Development. Blood. 116(21). 10–10. 1 indexed citations
14.
Chen, Shann-Ching, Geoffrey J. Gordon, & Robert F. Murphy. (2008). Graphical Models for Structured Classification, with an Application to Interpreting Images of Protein Subcellular Location Patterns. Journal of Machine Learning Research. 9(23). 651–682. 9 indexed citations
15.
Chen, Shann-Ching, Ting Zhao, Geoffrey J. Gordon, & Robert F. Murphy. (2007). Automated image analysis of protein localization in budding yeast. Bioinformatics. 23(13). i66–i71. 53 indexed citations
16.
Chen, Shann-Ching & Robert F. Murphy. (2006). A graphical model approach to automated classification of protein subcellular location patterns in multi-cell images. BMC Bioinformatics. 7(1). 90–90. 23 indexed citations
17.
Chen, Shann-Ching, Ting Zhao, Geoffrey J. Gordon, & Robert F. Murphy. (2006). A Novel Graphical Model Approach to Segmenting Cell Images. 1–8. 27 indexed citations
18.
Chen, Shann-Ching, Geoffrey J. Gordon, & Robert F. Murphy. (2006). A Novel Approximate Inference Approach to Automated Classification of Protein Subcellular Location Patterns in Multi-Cell Images. 558–561. 6 indexed citations
19.
Chen, Shann-Ching & İvet Bahar. (2004). Mining frequent patterns in protein structures: a study of protease families. Bioinformatics. 20(suppl_1). i77–i85. 26 indexed citations
20.
Chen, Shann-Ching & Tsuhan Chen. (2003). Retrieval of 3D protein structures. Proceedings - International Conference on Image Processing. 1. 933–936. 12 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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