Luke Peng

628 total citations
27 papers, 306 citations indexed

About

Luke Peng is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Luke Peng has authored 27 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Pulmonary and Respiratory Medicine, 12 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Genetics. Recurrent topics in Luke Peng's work include Brain Metastases and Treatment (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Glioma Diagnosis and Treatment (10 papers). Luke Peng is often cited by papers focused on Brain Metastases and Treatment (11 papers), Radiomics and Machine Learning in Medical Imaging (10 papers) and Glioma Diagnosis and Treatment (10 papers). Luke Peng collaborates with scholars based in United States, Australia and Netherlands. Luke Peng's co-authors include Harry Quon, Todd McNutt, Peijin Han, Zhi Cheng, Khadija Sheikh, Sang Ho Lee, Junghoon Lee, K. Chao, A. Gabriella Wernicke and Dattatreyudu Nori and has published in prestigious journals such as Journal of Clinical Oncology, Journal of neurosurgery and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Luke Peng

23 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Luke Peng United States	9	161	140	85	63	61	27	306
Johannes Roesch Germany	10	220 1.4×	251 1.8×	94 1.1×	137 2.2×	73 1.2×	16	437
Giuseppe Ferrera Italy	11	163 1.0×	81 0.6×	20 0.2×	94 1.5×	49 0.8×	34	278
Jens Maus Germany	9	108 0.7×	271 1.9×	57 0.7×	33 0.5×	45 0.7×	21	372
Russell Frood United Kingdom	12	134 0.8×	252 1.8×	28 0.3×	21 0.3×	63 1.0×	34	362
Samir Sejpal United States	10	231 1.4×	133 0.9×	40 0.5×	230 3.7×	70 1.1×	17	410
Cristina Piva Italy	12	104 0.6×	98 0.7×	16 0.2×	139 2.2×	48 0.8×	24	318
J.G.M. Vemer-van den Hoek Netherlands	5	278 1.7×	74 0.5×	171 2.0×	44 0.7×	61 1.0×	5	372
Thomas Koopman Netherlands	11	46 0.3×	268 1.9×	86 1.0×	14 0.2×	38 0.6×	19	343
Shwetabh Sinha India	9	115 0.7×	89 0.6×	15 0.2×	55 0.9×	55 0.9×	40	260
Comron Hassanzadeh United States	10	132 0.8×	80 0.6×	36 0.4×	68 1.1×	71 1.2×	22	305

Countries citing papers authored by Luke Peng

Since Specialization

Citations

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

Fields of papers citing papers by Luke Peng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luke Peng

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

All Works

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20 of 20 papers shown

Aizer, Ayal A., Shyam Tanguturi, Paul D. Brown, et al.. (2025). Stereotactic radiation versus hippocampal avoidance whole brain radiation in patients with 5-20 brain metastases: A multicenter, phase 3 randomized trial.. Journal of Clinical Oncology. 43(16_suppl). 2011–2011. 2 indexed citations

Mantia, Charlene, Anurag Saraf, Mark A. Preston, et al.. (2024). Correlation of Circulating Tumor DNA (ctDNA) Dynamics with Clinical Response in Muscle-Invasive Bladder Cancer (MIBC) Patients Undergoing Trimodality Therapy (TMT). International Journal of Radiation Oncology*Biology*Physics. 120(2). e564–e565. 1 indexed citations

Parekh, Vishwa S., Xuguang Chen, Kristin J. Redmond, et al.. (2023). A Multidimensional Connectomics- and Radiomics-Based Advanced Machine-Learning Framework to Distinguish Radiation Necrosis from True Progression in Brain Metastases. Cancers. 15(16). 4113–4113. 6 indexed citations

Tsui, James Man Git, Jonathan E. Leeman, Paul L. Nguyen, et al.. (2023). Assessing the Feasibility of Using Artificial Intelligence–Segmented Dominant Intraprostatic Lesion for Focal Intraprostatic Boost With External Beam Radiation Therapy. International Journal of Radiation Oncology*Biology*Physics. 118(1). 74–84. 7 indexed citations

Nawabi, Noah, et al.. (2023). Brief report on the efficacy of sotorasib in KRAS-Mutated NSCLC patients with brain metastases. Lung Cancer. 187. 107425–107425.

Hosny, Ahmed, Danielle S. Bitterman, Christian V. Guthier, et al.. (2022). Clinical validation of deep learning algorithms for radiotherapy targeting of non-small-cell lung cancer: an observational study. The Lancet Digital Health. 4(9). e657–e666. 35 indexed citations

Senko, Alexander W., Charissa Jessurun, Alexander Hulsbergen, et al.. (2022). Predicting leptomeningeal disease spread after resection of brain metastases using machine learning. Journal of neurosurgery. 138(6). 1561–1569. 5 indexed citations

Chen, Xuguang, Vishwa S. Parekh, Luke Peng, et al.. (2021). Multiparametric radiomic tissue signature and machine learning for distinguishing radiation necrosis from tumor progression after stereotactic radiosurgery. Neuro-Oncology Advances. 3(1). vdab150–vdab150. 14 indexed citations

Hosny, Ahmed, Danielle S. Bitterman, Hannah Roberts, et al.. (2021). Clinical Validation of Deep Learning Algorithms for Lung Cancer Radiotherapy Targeting. International Journal of Radiation Oncology*Biology*Physics. 111(3). S67–S67. 1 indexed citations

10.

Chen, X., Vishwa S. Parekh, Luke Peng, et al.. (2020). External Validation Of A Radiomics-Based Machine Learning Model For Distinguishing Radiation Necrosis From Progression Of Brain Metastases Treated With Stereotactic Radiosurgery. International Journal of Radiation Oncology*Biology*Physics. 108(3). e722–e723. 2 indexed citations

11.

Peng, Luke, Omar Y. Mian, Peng Huang, et al.. (2019). Analysis of Spatial Dose-Volume Relationships and Decline in Sexual Function Following Permanent Brachytherapy for Prostate Cancer. Urology. 135. 111–116.

12.

Peng, Luke, Jimm Grimm, Chengcheng Gui, et al.. (2019). Updated risk models demonstrate low risk of symptomatic radionecrosis following stereotactic radiosurgery for brain metastases. Surgical Neurology International. 10(1). 32–32. 18 indexed citations

13.

Sheikh, Khadija, Sang Ho Lee, Zhi Cheng, et al.. (2019). Predicting acute radiation induced xerostomia in head and neck Cancer using MR and CT Radiomics of parotid and submandibular glands. Radiation Oncology. 14(1). 131–131. 79 indexed citations

14.

Page, B.R., Peijin Han, Luke Peng, et al.. (2018). Gender Differences in Radiation Therapy Effects in Male and Female Patients With Head and Neck Cancer. International Journal of Radiation Oncology*Biology*Physics. 100(5). 1400–1401. 5 indexed citations

15.

Peng, Luke, Amol Narang, Noura Radwan, et al.. (2018). Effects of perineural invasion on biochemical recurrence and prostate cancer-specific survival in patients treated with definitive external beam radiotherapy. Urologic Oncology Seminars and Original Investigations. 36(6). 309.e7–309.e14. 9 indexed citations

16.

Peng, Luke, Xuan Hui, Zhi Cheng, et al.. (2018). Prospective evaluation of patient reported swallow function with the Functional Assessment of Cancer Therapy (FACT), MD Anderson Dysphagia Inventory (MDADI) and the Sydney Swallow Questionnaire (SSQ) in head and neck cancer patients. Oral Oncology. 84. 25–30. 11 indexed citations

17.

Peng, Luke, Pu Huang, Vishwa S. Parekh, et al.. (2018). Application of Machine Learning and Radiomics to Distinguish True Progression From Treatment Effect after Stereotactic Radiation Therapy for Brain Metastases. International Journal of Radiation Oncology*Biology*Physics. 102(3). S93–S94. 1 indexed citations

18.

Quon, Harry, Xuan Hui, Zhi Cheng, et al.. (2017). Quantitative Evaluation of Head and Neck Cancer Treatment–Related Dysphagia in the Development of a Personalized Treatment Deintensification Paradigm. International Journal of Radiation Oncology*Biology*Physics. 99(5). 1271–1278. 17 indexed citations

19.

Rosati, Lauren M., S.P. Robertson, Joseph A. Moore, et al.. (2016). Preference to Spare Critical Anatomy Near Gross Tumor Volume Is Associated With Poor Pathologic Complete Response With Breath Hold–Based Neoadjuvant Stereotactic Body Radiation Therapy for Pancreatic Cancer. International Journal of Radiation Oncology*Biology*Physics. 96(2). E207–E207. 1 indexed citations

20.

Peng, Luke, Jeffrey W. Milsom, Kelly A. Garrett, et al.. (2014). Surveillance, Epidemiology, and End Results-based analysis of the impact of preoperative or postoperative radiotherapy on survival outcomes for T3N0 rectal cancer. Cancer Epidemiology. 38(1). 73–78. 14 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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