Clark C. Chen

5.4k total citations
131 papers, 2.7k citations indexed

About

Clark C. Chen is a scholar working on Genetics, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Clark C. Chen has authored 131 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Genetics, 35 papers in Molecular Biology and 29 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Clark C. Chen's work include Glioma Diagnosis and Treatment (60 papers), Brain Metastases and Treatment (24 papers) and Meningioma and schwannoma management (22 papers). Clark C. Chen is often cited by papers focused on Glioma Diagnosis and Treatment (60 papers), Brain Metastases and Treatment (24 papers) and Meningioma and schwannoma management (22 papers). Clark C. Chen collaborates with scholars based in United States, China and Sweden. Clark C. Chen's co-authors include Samuel W. Cramer, Bob S. Carter, Richard D. Kennedy, Alan D. D’Andrea, Alan D. D’Andrea, Jiří Bártek, Jun Ma, David Gonda, Heidrun Rotterdam and Alfred I. Neugut and has published in prestigious journals such as Nature, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Clark C. Chen

123 papers receiving 2.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Clark C. Chen 1.1k 693 581 572 450 131 2.7k
J. Bradley Elder 915 0.8× 504 0.7× 563 1.0× 520 0.9× 217 0.5× 162 3.6k
Yasuo Iwadate 852 0.8× 1.0k 1.5× 573 1.0× 613 1.1× 418 0.9× 156 2.6k
Masayuki Nitta 1.9k 1.8× 734 1.1× 950 1.6× 497 0.9× 444 1.0× 94 3.7k
Helen Wheeler 849 0.8× 1.4k 2.0× 671 1.2× 590 1.0× 574 1.3× 110 2.6k
Barbara Klink 1.0k 1.0× 855 1.2× 530 0.9× 370 0.6× 775 1.7× 73 2.5k
Herbert B. Newton 1.2k 1.1× 1.2k 1.7× 574 1.0× 632 1.1× 704 1.6× 86 3.0k
Ian F. Dunn 1.6k 1.5× 670 1.0× 514 0.9× 297 0.5× 671 1.5× 28 3.3k
David Meyronet 878 0.8× 1.0k 1.5× 338 0.6× 395 0.7× 458 1.0× 115 2.6k
Frits Thorsen 1.6k 1.5× 1.2k 1.7× 955 1.6× 648 1.1× 972 2.2× 84 4.0k
Quintino Giorgio D’Alessandris 845 0.8× 651 0.9× 339 0.6× 277 0.5× 557 1.2× 124 2.1k

Countries citing papers authored by Clark C. Chen

Since Specialization
Citations

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

Fields of papers citing papers by Clark C. Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clark C. Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Clark C. Chen. A scholar is included among the top collaborators of Clark C. 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 Clark C. Chen. Clark C. 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.
Singh, Shilpi, Debashis Barik, Haoyi Zheng, et al.. (2025). Harnessing ferroptosis to transform glioblastoma therapy and surmount treatment resistance. Cell Death Discovery. 11(1). 448–448. 1 indexed citations
2.
Zhang, Shengliang, Andrew George, Howard Safran, et al.. (2025). Imipridones ONC201/ONC206 + RT/TMZ triple (IRT) therapy reduces intracranial tumor burden, prolongs survival in orthotopic IDH-WT GBM mouse model, and suppresses MGMT. Oncotarget. 16(1). 230–248. 3 indexed citations
4.
Ali, Rohaid, Christine K. Lee, Athar N. Malik, et al.. (2024). Neuro-oncology application of next-generation, optically tracked robotic stereotaxis with intraoperative computed tomography: a pilot experience. Neurosurgical FOCUS. 57(6). E4–E4.
5.
Shanley, Ryan, Jessica Lawrence, Michael R. Olin, et al.. (2023). Comparison of peripheral leukocyte parameters in patients receiving conventionally and hypofractionated radiotherapy schemes for the treatment of newly diagnosed glioblastoma. Frontiers in Immunology. 14. 1284118–1284118.
6.
Sharma, Mayur, et al.. (2023). Preoperative Versus Postoperative Radiosurgery of Brain Metastases: A Meta-Analysis. World Neurosurgery. 182. 35–41. 8 indexed citations
7.
Sharma, Mayur, et al.. (2023). Survey Assessment of Utility in Preoperative Magnetic Resonance (MR) Tractography Surgical Planning. World Neurosurgery. 180. e468–e473.
8.
Chen, Clark C., et al.. (2023). Pioneering models of pediatric brain tumors. Neoplasia. 36. 100859–100859. 9 indexed citations
10.
Sandvik, Ulrika, Asgeir Store Jakola, Michael Fagerlund, et al.. (2023). Learning Curve Analysis and Adverse Events After Implementation of Neurosurgical Laser Ablation Treatment. Neurosurgery Clinics of North America. 34(2). 259–267. 1 indexed citations
11.
Chen, Clark C., et al.. (2023). Stereotactic Radiosurgery as Treatment for Brain Metastases: An Update. Asian Journal of Neurosurgery. 18(2). 246–257. 9 indexed citations
12.
Hareendran, Sangeetha, Xu-Yu Yang, Aiyi Liu, et al.. (2022). Exosomal Carboxypeptidase E (CPE) and CPE-shRNA-Loaded Exosomes Regulate Metastatic Phenotype of Tumor Cells. International Journal of Molecular Sciences. 23(6). 3113–3113. 18 indexed citations
13.
Harris, Michael A., Huihui Kuang, Zachary Schneiderman, et al.. (2021). ssDNA nanotubes for selective targeting of glioblastoma and delivery of doxorubicin for enhanced survival. Science Advances. 7(49). eabl5872–eabl5872. 19 indexed citations
14.
Xu, Beibei, et al.. (2021). Targeted Liposomes Encapsulating miR-603 Complexes Enhance Radiation Sensitivity of Patient-Derived Glioblastoma Stem-Like Cells. Pharmaceutics. 13(8). 1115–1115. 22 indexed citations
15.
He, Yuyu, Jie Li, Tomoyuki Koga, et al.. (2020). Epidermal growth factor receptor as a molecular determinant of glioblastoma response to dopamine receptor D2 inhibitors. Neuro-Oncology. 23(3). 400–411. 17 indexed citations
16.
Zhang, Jingwen, Jinhua Wang, Diego M. Marzese, et al.. (2019). B7H3 regulates differentiation and serves as a potential biomarker and theranostic target for human glioblastoma. Laboratory Investigation. 99(8). 1117–1129. 40 indexed citations
17.
Espinosa‐Díez, Cristina, Namita Chatterjee, Rebecca Ruhl, et al.. (2016). MicroRNA regulation of endothelial TREX1 reprograms the tumour microenvironment. Nature. 18 indexed citations
18.
Rennert, Robert C., et al.. (2016). Safety of stereotactic laser ablations performed as treatment for glioblastomas in a conventional magnetic resonance imaging suite. Neurosurgical FOCUS. 41(4). E7–E7. 26 indexed citations
19.
Ali, Mir Amaan, Kate Carroll, Robert C. Rennert, et al.. (2016). Stereotactic laser ablation as treatment for brain metastases that recur after stereotactic radiosurgery: a multiinstitutional experience. Neurosurgical FOCUS. 41(4). E11–E11. 51 indexed citations
20.
Wykosky, Jill, Jingjing Hu, German G. Gomez, et al.. (2014). A Urokinase Receptor–Bim Signaling Axis Emerges during EGFR Inhibitor Resistance in Mutant EGFR Glioblastoma. Cancer Research. 75(2). 394–404. 43 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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