Ching Chen

2.8k total citations
31 papers, 1.9k citations indexed

About

Ching Chen is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ching Chen has authored 31 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 15 papers in Immunology and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ching Chen's work include T-cell and B-cell Immunology (10 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Immune Cell Function and Interaction (6 papers). Ching Chen is often cited by papers focused on T-cell and B-cell Immunology (10 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Immune Cell Function and Interaction (6 papers). Ching Chen collaborates with scholars based in United States, China and Taiwan. Ching Chen's co-authors include Eline T. Luning Prak, Martin Weigert, Zoltán Á. Nagy, Martin Weigert, Marko Radic, Sally A. Camper, Dennis Huszar, Richard R. Hardy, Jennitte Stevens and Yang Xu and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Ching Chen

30 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ching Chen United States 20 1.0k 619 420 305 239 31 1.9k
Kazushige Sakaguchi Japan 18 690 0.7× 838 1.4× 119 0.3× 200 0.7× 230 1.0× 75 1.9k
Sophie Koutouzov France 23 1.3k 1.3× 281 0.5× 487 1.2× 154 0.5× 100 0.4× 47 1.9k
Yuang‐Taung Juang United States 30 2.3k 2.3× 666 1.1× 260 0.6× 96 0.3× 175 0.7× 46 3.0k
Zoltán Jakus Hungary 22 994 1.0× 674 1.1× 124 0.3× 40 0.1× 106 0.4× 41 2.2k
Katalin Kis‐Tóth United States 26 1.1k 1.1× 492 0.8× 121 0.3× 53 0.2× 91 0.4× 51 1.7k
Patrick Danoy Australia 20 386 0.4× 476 0.8× 89 0.2× 40 0.1× 225 0.9× 32 1.2k
Meera Goyal United States 22 309 0.3× 1.2k 1.9× 75 0.2× 1.5k 4.8× 410 1.7× 27 2.5k
K Hartung Germany 20 446 0.4× 312 0.5× 196 0.5× 57 0.2× 89 0.4× 74 1.0k
Harukiyo Kawamura Japan 18 190 0.2× 668 1.1× 104 0.2× 161 0.5× 98 0.4× 37 1.2k
Arthur H. Tatum United States 24 298 0.3× 433 0.7× 247 0.6× 44 0.1× 87 0.4× 50 1.7k

Countries citing papers authored by Ching Chen

Since Specialization
Citations

This map shows the geographic impact of 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 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 Ching Chen more than expected).

Fields of papers citing papers by Ching Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ching Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Ching Chen. A scholar is included among the top collaborators of 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 Ching Chen. 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.
Chang, Chia-Yuan, Ya‐Wen Liu, Ching Chen, et al.. (2025). Advancing Understanding of Treatment Response in Schizophrenia With Psychosis Using a Novel Dynamic Reward Task. Schizophrenia Bulletin. 52(2).
2.
Tegla, Cosmin, Cornelia Cudrici, Vinh Nguyen, et al.. (2015). RGC-32 is a novel regulator of the T-lymphocyte cell cycle. Experimental and Molecular Pathology. 98(3). 328–337. 37 indexed citations
3.
4.
Gourdin, Theodore Stewart, Ying Zou, Yi Ning, et al.. (2014). High frequency of rare structural chromosome abnormalities at relapse of cytogenetically normal acute myeloid leukemia with FLT3 internal tandem duplication. Cancer Genetics. 207(10-12). 467–473. 7 indexed citations
5.
Calzone, Frank J., Elaina Cajulis, Petia Mitchell, et al.. (2013). Epitope-Specific Mechanisms of IGF1R Inhibition by Ganitumab. PLoS ONE. 8(2). e55135–e55135. 28 indexed citations
6.
Bhatnagar, Bhavana, Vu H. Duong, Theodore Stewart Gourdin, et al.. (2013). Ten-day decitabine as initial therapy for newly diagnosed patients with acute myeloid leukemia unfit for intensive chemotherapy. Leukemia & lymphoma. 55(7). 1533–1537. 31 indexed citations
7.
Mannoor, Kaiissar, Yang Xu, & Ching Chen. (2012). Natural autoantibodies and associated B cells in immunity and autoimmunity. Autoimmunity. 46(2). 138–147. 40 indexed citations
8.
Yie, Junming, Wei Wang, Liying Deng, et al.. (2012). Understanding the Physical Interactions in the FGF21/FGFR/β‐Klotho Complex: Structural Requirements and Implications in FGF21 Signaling. Chemical Biology & Drug Design. 79(4). 398–410. 75 indexed citations
9.
Shalhoub, Victoria, Edward Shatzen, Sabrina C. Ward, et al.. (2012). FGF23 neutralization improves chronic kidney disease–associated hyperparathyroidism yet increases mortality. Journal of Clinical Investigation. 122(7). 2543–2553. 309 indexed citations
10.
Mannoor, Kaiissar, et al.. (2012). Expression of Natural Autoantibodies in MRL-lpr Mice Protects from Lupus Nephritis and Improves Survival. The Journal of Immunology. 188(8). 3628–3638. 41 indexed citations
11.
Haniu, Mitsuru, Tom Horan, Chris Spahr, et al.. (2011). Human Dickkopf‐1 (huDKK1) protein: Characterization of glycosylation and determination of disulfide linkages in the two cysteine‐rich domains. Protein Science. 20(11). 1802–1813. 16 indexed citations
12.
Yie, Junming, Randy Hecht, Jennitte Stevens, et al.. (2008). FGF21 N‐ and C‐termini play different roles in receptor interaction and activation. FEBS Letters. 583(1). 19–24. 119 indexed citations
13.
Chen, Ching, et al.. (2006). Selection of Anti-Double-Stranded DNA B Cells in Autoimmune MRL- lpr/lpr Mice. The Journal of Immunology. 176(9). 5183–5190. 32 indexed citations
14.
15.
Carnahan, Josette, Paul Wang, Richard Kendall, et al.. (2003). Epratuzumab, a Humanized Monoclonal Antibody Targeting CD22. Clinical Cancer Research. 9(10). 5 indexed citations
16.
Carnahan, Josette, Paul Wang, Richard Kendall, et al.. (2003). Epratuzumab, a humanized monoclonal antibody targeting CD22: characterization of in vitro properties.. PubMed. 9(10 Pt 2). 3982S–90S. 142 indexed citations
17.
Faggioni, Raffaella, Russell C. Cattley, Jane Guo, et al.. (2001). IL-18-Binding Protein Protects Against Lipopolysaccharide- Induced Lethality and Prevents the Development of Fas/Fas Ligand-Mediated Models of Liver Disease in Mice. The Journal of Immunology. 167(10). 5913–5920. 101 indexed citations
18.
Chen, Ching, Eline T. Luning Prak, & Martin Weigert. (1997). Editing Disease-Associated Autoantibodies. Immunity. 6(1). 97–105. 187 indexed citations
19.
Chen, Ching, Zoltán Á. Nagy, Eline T. Luning Prak, & Martin Weigert. (1995). Immunoglobulin heavy chain gene replacement: A mechanism of receptor editing. Immunity. 3(6). 747–755. 257 indexed citations
20.
Chen, Ching, Zoltán Á. Nagy, Marko Radic, et al.. (1995). The site and stage of anti-DNA B-cell deletion. Nature. 373(6511). 252–255. 239 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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