Mark Chen

418 total citations
17 papers, 237 citations indexed

About

Mark Chen is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Mark Chen has authored 17 papers receiving a total of 237 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Mark Chen's work include CRISPR and Genetic Engineering (4 papers), Pluripotent Stem Cells Research (3 papers) and CAR-T cell therapy research (3 papers). Mark Chen is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), Pluripotent Stem Cells Research (3 papers) and CAR-T cell therapy research (3 papers). Mark Chen collaborates with scholars based in United States and France. Mark Chen's co-authors include David G. Kirsch, Yan Ma, Diana M. Cardona, Lixia Luo, Victor D. Schepkin, Brian D. Ross, Kuei C. Lee, Amy J. Wisdom, Theodore S. Lawrence and Thomas L. Chenevert and has published in prestigious journals such as Physical Review Letters, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Mark Chen

16 papers receiving 235 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Chen United States 8 120 54 52 44 36 17 237
Jörg Felsberg Germany 6 95 0.8× 31 0.6× 68 1.3× 34 0.8× 43 1.2× 7 232
Michaël H. Meel Netherlands 13 172 1.4× 41 0.8× 68 1.3× 31 0.7× 23 0.6× 20 367
Shirley Ong United States 8 66 0.6× 63 1.2× 92 1.8× 15 0.3× 24 0.7× 18 215
Ramsis Benjamin United States 5 111 0.9× 54 1.0× 95 1.8× 38 0.9× 18 0.5× 7 296
Martin Lukačišin United States 5 199 1.7× 26 0.5× 137 2.6× 20 0.5× 35 1.0× 7 320
Sanaz Yahyanejad Netherlands 11 234 1.9× 52 1.0× 95 1.8× 36 0.8× 20 0.6× 15 372
Cori Bradley United States 7 160 1.3× 36 0.7× 138 2.7× 12 0.3× 36 1.0× 8 308
Jordan M. Blum United States 5 92 0.8× 74 1.4× 68 1.3× 36 0.8× 18 0.5× 6 188
Ruqayyah Al-Hashem United States 3 172 1.4× 77 1.4× 105 2.0× 10 0.2× 27 0.8× 3 260
Raquel J. Nunes Portugal 8 138 1.1× 47 0.9× 110 2.1× 69 1.6× 20 0.6× 14 387

Countries citing papers authored by Mark Chen

Since Specialization
Citations

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

Fields of papers citing papers by Mark Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Chen

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

All Works

17 of 17 papers shown
1.
Bhimani, Abhiraj D., Alexander J. Schüpper, Anthony Yang, et al.. (2024). Surgical Management of Thoracic Dorsal Arachnoid Webs: A 10-Year Single-Institution Experience. World Neurosurgery. 193. 781–790. 1 indexed citations
2.
Chen, Mark, Zhuoran Jiang, Jason K. Molitoris, et al.. (2024). Finite Element Method-Based Hybrid MRI/CBCT Generation to Improve Liver Stereotactic Body Radiation Therapy Targets Localization Accuracy. IEEE Transactions on Radiation and Plasma Medical Sciences. 9(3). 372–381.
3.
Chen, Mark, et al.. (2023). The Importance of Segment 4 Anatomy on Outcomes Following Living Donor Left Lateral Segmentectomy. Journal of Surgical Research. 285. 13–19. 1 indexed citations
4.
Chen, Mark, et al.. (2021). Radiation-Induced Phosphorylation of a Prion-Like Domain Regulates Transformation by FUS-CHOP. Cancer Research. 81(19). 4939–4948. 6 indexed citations
5.
Dodd, Rebecca D., Wesley Huang, Wade R. Gutierrez, et al.. (2020). Tumor Subtype Determines Therapeutic Response to Chimeric Polypeptide Nanoparticle–based Chemotherapy in Pten -deleted Mouse Models of Sarcoma. Clinical Cancer Research. 26(18). 5036–5047. 7 indexed citations
6.
Crabtree, Donna, Nerissa T. Williams, Lixia Luo, et al.. (2020). Tumor genotype dictates radiosensitization after Atm deletion in primary brainstem glioma models. Journal of Clinical Investigation. 131(1). 26 indexed citations
7.
Chen, Mark, Eric S. Xu, Diana M. Cardona, et al.. (2019). The Fusion Oncogene FUS-CHOP Drives Sarcomagenesis of High-Grade Spindle Cell Sarcomas in Mice. Sarcoma. 2019. 1–14. 9 indexed citations
8.
Huang, Jianguo, Mark Chen, Eric S. Xu, et al.. (2019). Genome-wide CRISPR Screen to Identify Genes that Suppress Transformation in the Presence of Endogenous KrasG12D. Scientific Reports. 9(1). 17220–17220. 5 indexed citations
9.
Chen, Mark & David G. Kirsch. (2019). Safely combining trabectedin with radiotherapy to treat myxoid liposarcoma. EClinicalMedicine. 9. 5–6. 2 indexed citations
10.
Peacock, Jacqueline D., Elizabeth A. Tovar, Curt J. Essenburg, et al.. (2018). Genomic Status of MET Potentiates Sensitivity to MET and MEK Inhibition in NF1-Related Malignant Peripheral Nerve Sheath Tumors. Cancer Research. 78(13). 3672–3687. 30 indexed citations
11.
Castle, Katherine D., Mark Chen, Amy J. Wisdom, & David G. Kirsch. (2017). Genetically engineered mouse models for studying radiation biology. Translational Cancer Research. 6(S5). S900–S913. 19 indexed citations
12.
Huang, Jianguo, Mark Chen, Melodi Javid Whitley, et al.. (2017). Generation and comparison of CRISPR-Cas9 and Cre-mediated genetically engineered mouse models of sarcoma. Nature Communications. 8(1). 15999–15999. 49 indexed citations
13.
Huang, Jianguo, Mark Chen, Melodi Javid Whitley, et al.. (2017). Abstract 2810: Using CRISPR/Cas9 to generate primary soft tissue sarcoma in genetically engineered and wild-type mice. Cancer Research. 77(13_Supplement). 2810–2810. 1 indexed citations
14.
Hilfinger, Andreas, Mark Chen, & Johan Paulsson. (2012). Using Temporal Correlations and Full Distributions to Separate Intrinsic and Extrinsic Fluctuations in Biological Systems. Physical Review Letters. 109(24). 248104–248104. 11 indexed citations
15.
Brickner, Leslea, et al.. (2011). Ureteral Strangulation by Fibrosis: A Cold Case Report of Ormand's Disease. Case Reports in Nephrology. 2011. 1–4. 1 indexed citations
16.
Hamstra, Daniel A., Kuei C. Lee, Victor D. Schepkin, et al.. (2004). The use of 19F spectroscopy and diffusion-weighted MRI to evaluate differences in gene-dependent enzyme prodrug therapies. Molecular Therapy. 10(5). 916–928. 65 indexed citations
17.
Johnson, M., Jay B. Benziger, Frank Calaprice, et al.. (1998). A source for low-background liquid scintillation detectors. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 414(2-3). 459–465. 4 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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