Shann-Ching Chen

4.6k total citations · 1 hit paper
9 papers, 1.0k citations indexed

About

Shann-Ching Chen is a scholar working on Molecular Biology, Hematology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Shann-Ching Chen has authored 9 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Hematology and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Shann-Ching Chen's work include Acute Myeloid Leukemia Research (3 papers), Acute Lymphoblastic Leukemia research (3 papers) and T-cell and Retrovirus Studies (2 papers). Shann-Ching Chen is often cited by papers focused on Acute Myeloid Leukemia Research (3 papers), Acute Lymphoblastic Leukemia research (3 papers) and T-cell and Retrovirus Studies (2 papers). Shann-Ching Chen collaborates with scholars based in United States, France and Japan. Shann-Ching Chen's co-authors include Valérie Choesmel-Cadamuro, Li He, Xiaobo Wang, Jessica K. Sawyer, Denise J. Montell, Danfeng Cai, Mohit Prasad, Gaudenz Danuser, Charles G. Mullighan and James R. Downing and has published in prestigious journals such as Nature, Cell and Journal of Clinical Investigation.

In The Last Decade

Shann-Ching Chen

9 papers receiving 1.0k citations

Hit Papers

Mechanical Feedback through E-Cadherin Promotes Direction... 2014 2026 2018 2022 2014 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Mechanical Feedback through E-Cadherin Promotes Direction Sensing during Collective Cell Migration
    2014 376 citations Danfeng Cai, Shann-Ching Chen et al. Cell profile →

Peers

Shann-Ching Chen
Giorgia Salvagiotto United States
Bianca R. Tomasini-Johansson United States
Brian S. Garrison United States
Mónica Sala-Valdés Spain
Helen Priddle United Kingdom
Gavin Histen United States
María Castellà Spain
Hanna Mikkola United States
Minke E. Binnerts Netherlands
Wilma Puzon-McLaughlin United States
Giorgia Salvagiotto United States
Shann-Ching Chen
Citations per year, relative to Shann-Ching Chen Shann-Ching Chen (= 1×) peers Giorgia Salvagiotto

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

9 of 9 papers shown
1.
Tu, Ho-Chou, Sarah Schwitalla, Zhirong Qian, et al.. (2015). LIN28 cooperates with WNT signaling to drive invasive intestinal and colorectal adenocarcinoma in mice and humans. Genes & Development. 29(10). 1074–1086. 87 indexed citations
2.
Dail, Monique, Jason W.H. Wong, Jessica Lawrence, et al.. (2014). Loss of oncogenic Notch1 with resistance to a PI3K inhibitor in T-cell leukaemia. Nature. 513(7519). 512–516. 47 indexed citations
3.
Cai, Danfeng, Shann-Ching Chen, Mohit Prasad, et al.. (2014). Mechanical Feedback through E-Cadherin Promotes Direction Sensing during Collective Cell Migration. Cell. 157(5). 1146–1159. 376 indexed citations breakdown →
4.
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. Cancer Discovery. 3(9). 993–1001. 47 indexed citations
5.
Figueroa, María E., Shann-Ching Chen, Anna Andersson, et al.. (2013). Integrated genetic and epigenetic analysis of childhood acute lymphoblastic leukemia. Journal of Clinical Investigation. 123(7). 3099–3111. 105 indexed citations
6.
Li, Qing, Natacha Bohin, Victor Ng, et al.. (2013). Oncogenic Nras has bimodal effects on stem cells that sustainably increase competitiveness. Nature. 504(7478). 143–147. 83 indexed citations
7.
Ward, Ashley F., Emily Harding‐Theobald, Jin Xu, et al.. (2013). Defective K-Ras oncoproteins overcome impaired effector activation to initiate leukemia in vivo. Blood. 121(24). 4884–4893. 21 indexed citations
8.
Yu, Shuyang, Xinyuan Zhou, Farrah C. Steinke, et al.. (2012). The TCF-1 and LEF-1 Transcription Factors Have Cooperative and Opposing Roles in T Cell Development and Malignancy. Immunity. 37(5). 813–826. 140 indexed citations
9.
Gutiérrez, Alejandro, Alex Kentsis, Takaomi Sanda, et al.. (2011). The BCL11B tumor suppressor is mutated across the major molecular subtypes of T-cell acute lymphoblastic leukemia. Blood. 118(15). 4169–4173. 139 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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