Samuel T. Chao
About
Samuel T. Chao is a scholar working on Pulmonary and Respiratory Medicine, Genetics and Oncology.
According to data from OpenAlex, Samuel T. Chao has authored 302 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 193 papers in Pulmonary and Respiratory Medicine, 124 papers in Genetics and 80 papers in Oncology. Recurrent topics in Samuel T. Chao's work include Brain Metastases and Treatment (169 papers), Glioma Diagnosis and Treatment (123 papers) and Meningioma and schwannoma management (70 papers). Samuel T. Chao is often cited by papers focused on Brain Metastases and Treatment (169 papers), Glioma Diagnosis and Treatment (123 papers) and Meningioma and schwannoma management (70 papers). Samuel T. Chao collaborates with scholars based in United States, Canada and India. Samuel T. Chao's co-authors include John H. Suh, Gene H. Barnett, Lilyana Angelov, Manmeet S. Ahluwalia, Erin S. Murphy, Rupesh Kotecha, Michael A. Vogelbaum, Arjun Sahgal, Michael A. Vogelbaum and Eric L. Chang and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.
In The Last Decade
Samuel T. Chao
277 papers receiving 6.9k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Samuel T. Chao United States | 42 | 4.4k | 3.1k | 2.4k | 1.6k | 1.4k | 302 | 7.0k | ||
| C. Carrié France | 41 | 4.5k 1.0× | 2.8k 0.9× | 2.0k 0.9× | 1.1k 0.7× | 1.2k 0.8× | 215 | 7.5k | ||
| Lawrence Kleinberg United States | 41 | 2.8k 0.6× | 2.3k 0.7× | 1.5k 0.6× | 938 0.6× | 1.3k 0.9× | 230 | 5.5k | ||
| Scott G. Soltys United States | 40 | 2.3k 0.5× | 1.9k 0.6× | 955 0.4× | 1.7k 1.0× | 2.0k 1.4× | 223 | 5.6k | ||
| Karin Dieckmann Austria | 45 | 3.1k 0.7× | 2.0k 0.6× | 2.2k 1.0× | 704 0.4× | 458 0.3× | 216 | 6.5k | ||
| Kathryn Beal United States | 34 | 2.5k 0.6× | 2.2k 0.7× | 1.7k 0.7× | 759 0.5× | 504 0.4× | 128 | 4.7k | ||
| Ufuk Abacıoğlu Türkiye | 25 | 2.8k 0.6× | 2.6k 0.8× | 1.5k 0.7× | 1.0k 0.6× | 474 0.3× | 66 | 4.4k | ||
| Giuseppe Minniti Italy | 55 | 3.6k 0.8× | 5.0k 1.6× | 1.2k 0.5× | 3.6k 2.2× | 2.2k 1.5× | 250 | 9.7k | ||
| Laura Fariselli Italy | 29 | 2.7k 0.6× | 2.1k 0.7× | 1.2k 0.5× | 1.5k 0.9× | 564 0.4× | 111 | 4.4k | ||
| Nadia N. Laack United States | 32 | 2.8k 0.6× | 2.4k 0.8× | 1.2k 0.5× | 758 0.5× | 623 0.4× | 165 | 4.8k | ||
| Dirk Rades Germany | 49 | 4.5k 1.0× | 2.4k 0.8× | 3.5k 1.5× | 995 0.6× | 4.4k 3.0× | 586 | 10.3k |
Countries citing papers authored by Samuel T. Chao
Since
Specialization
Citations
This map shows the geographic impact of Samuel T. Chao'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 Samuel T. Chao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel T. Chao more than expected).
Fields of papers citing papers by Samuel T. Chao
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Samuel T. Chao. 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 Samuel T. Chao. The network helps show where Samuel T. Chao may publish in the future.
Co-authorship network of co-authors of Samuel T. Chao
This figure shows the co-authorship network connecting the top 25 collaborators of Samuel T. Chao. A scholar is included among the top collaborators of Samuel T. Chao 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 Samuel T. Chao. Samuel T. Chao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Yan, Xiaoran, Samuel T. Chao, Peng Jia, et al.. (2025). Unraveling the mechanism of anti-electrowetting in enhancing acidic CO2 electrolysis. Applied Catalysis B: Environmental. 371. 125242–125242.
2.
Yu, Jennifer S., Ran Zhao, Wei Wei, et al.. (2025). Expedited chemoradiation after laser interstitial thermal therapy (LITT) is feasible and safe in patients with newly diagnosed glioblastoma. Neuro-Oncology Advances. 7(1). vdaf038–vdaf038.
3.
Tom, Martin C., Seema Nagpal, Joshua D. Palmer, et al.. (2024). An update to the American Radium Society’s appropriate use criteria of lower grade gliomas: Integration of IDH inhibitors. Radiotherapy and Oncology. 202. 110640–110640.
4.
Azadbakht, Javid, Wende N. Gibbs, Pejman Maralani, et al.. (2024). The Role of CT and MR Imaging in Stereotactic Body Radiotherapy of the Spine: From Patient Selection and Treatment Planning to Post-Treatment Monitoring. Cancers. 16(21). 3692–3692.
5.
OʼShea, Patrick, Ahmad Ozair, Atulya Aman Khosla, et al.. (2023). First- versus Third-Generation EGFR Tyrosine Kinase Inhibitors in EGFR-Mutated Non-Small Cell Lung Cancer Patients with Brain Metastases. Cancers. 15(8). 2382–2382.
6.
Chao, Samuel T., Erin S. Murphy, John H. Suh, et al.. (2023). Clinical Outcomes of Patients with Brain Metastases from Colorectal Cancer Treated with Stereotactic Radiosurgery. International Journal of Radiation Oncology*Biology*Physics. 117(2). e89–e90.
7.
Scheurer, Michael E., Renke Zhou, Mark R. Gilbert, et al.. (2022). Germline polymorphisms in MGMT associated with temozolomide-related myelotoxicity risk in patients with glioblastoma treated on NRG Oncology/RTOG 0825. Neuro-Oncology Advances. 4(1). vdac152–vdac152.
8.
Lo, Simon S., Alanah Bergman, Eric L. Chang, et al.. (2021). Thecal Sac Contouring as a Surrogate for the Cauda Equina and Intracanal Spinal Nerve Roots for Spine Stereotactic Body Radiation Therapy (SBRT): Contour Variability and Recommendations for Safe Practice. International Journal of Radiation Oncology*Biology*Physics. 112(1). 114–120.
9.
Chakravarthy, Vikram, et al.. (2021). Factors associated with adjacent-level tumor progression in patients receiving surgery followed by radiosurgery for metastatic epidural spinal cord compression. Neurosurgical FOCUS. 50(5). E15–E15.
10.
Hori, Yusuke S., Krishna C. Joshi, Wei Wei, et al.. (2020). RADT-01. THE EFFICACY AND SAFETY OF TWO-STAGED STEREOTACTIC RADIOSURGERY FOR LARGE POSTERIOR FOSSA METASTASES: POST-TREATMENT VOLUMETRIC CHANGES IN TUMOR SIZE, PERI-TUMORAL EDEMA, AND FOURTH VENTRICLE. Neuro-Oncology. 22(Supplement_2). ii181–ii181.
11.
Hori, Yusuke S., Shoji Yomo, Wei Wei, et al.. (2020). INNV-03. EFFICACY AND LONG-TERM OUTCOMES IN THE MANAGEMENT OF LARGE BRAIN METASTASIS (≥ 4 CM3) USING 2-STAGED STEREOTACTIC RADIOSURGERY (2-SSRS): AN INTERNATIONAL STUDY. Neuro-Oncology. 22(Supplement_2). ii117–ii117.
12.
Parsai, Shireen, Jacob A. Miller, Aditya Juloori, et al.. (2019). Stereotactic radiosurgery with concurrent lapatinib is associated with improved local control for HER2-positive breast cancer brain metastases. Journal of neurosurgery. 132(2). 503–511.
13.
Joshi, Krishna C., Jason Hsieh, Hamid Borghei‐Razavi, et al.. (2019). Fractionated Gamma Knife radiosurgery for skull base meningiomas: a single-institution experience. Neurosurgical FOCUS. 46(6). E8–E8.
14.
Balagamwala, Ehsan H., Jacob A. Miller, C.A. Reddy, et al.. (2018). Recursive partitioning analysis is predictive of overall survival for patients undergoing spine stereotactic radiosurgery. Journal of Neuro-Oncology. 137(2). 289–293.
15.
Sharma, Mayur, Elizabeth Bennett, Gazanfar Rahmathulla, et al.. (2017). Impact of cervicothoracic region stereotactic spine radiosurgery on adjacent organs at risk. Neurosurgical FOCUS. 42(1). E14–E14.
16.
Miller, Jacob A., Ehsan H. Balagamwala, Lilyana Angelov, et al.. (2016). Spine Stereotactic Radiosurgery With Concurrent Tyrosine Kinase Inhibitors for Metastatic Renal Cell Carcinoma. International Journal of Radiation Oncology*Biology*Physics. 96(2). E95–E96.
17.
Kotecha, Rupesh, John H. Suh, Gene H. Barnett, et al.. (2016). Changing Trends in Brain Metastasis: A 20-Year Review of Patient Outcomes. International Journal of Radiation Oncology*Biology*Physics. 96(2). E518–E518.
18.
McTyre, E., D.N. Ayala-Peacock, Joseph N. Contessa, et al.. (2016). Multi-Institutional Competing Risks Analysis Predicting Distant Brain Failure and Salvage Patterns After Upfront Radiosurgery Without Whole-Brain Radiation Therapy for Brain Metastasis. International Journal of Radiation Oncology*Biology*Physics. 96(2). S180–S181.
19.
Balagamwala, Ehsan H., T. Djemil, Shlomo A. Koyfman, et al.. (2011). 3D Composite Dose is Necessary to Assess Cumulative Spinal Cord Dose for Retreatment of Spinal Tumors with Stereotactic Body Radiotherapy. International Journal of Radiation Oncology*Biology*Physics. 81(2). S647–S647.
20.
Prayson, Richard A., Joung Lee, C.A. Reddy, et al.. (2009). Long-Term Experience With World Health Organization Grade III (Malignant) Meningiomas at a Single Institution. International Journal of Radiation Oncology*Biology*Physics. 74(2). 427–432.
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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