Matthew J. Schipper

10.4k total citations · 2 hit papers
235 papers, 6.0k citations indexed

About

Matthew J. Schipper is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Radiation. According to data from OpenAlex, Matthew J. Schipper has authored 235 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Pulmonary and Respiratory Medicine, 78 papers in Radiology, Nuclear Medicine and Imaging and 60 papers in Radiation. Recurrent topics in Matthew J. Schipper's work include Advanced Radiotherapy Techniques (60 papers), Lung Cancer Diagnosis and Treatment (35 papers) and Head and Neck Cancer Studies (33 papers). Matthew J. Schipper is often cited by papers focused on Advanced Radiotherapy Techniques (60 papers), Lung Cancer Diagnosis and Treatment (35 papers) and Head and Neck Cancer Studies (33 papers). Matthew J. Schipper collaborates with scholars based in United States, Canada and China. Matthew J. Schipper's co-authors include Theodore S. Lawrence, Randall K. Ten Haken, Feng‐Ming Kong, Avraham Eisbruch, James A. Hayman, Mary Feng, Gregory P. Kalemkerian, Yebin Tao, Felix Y. Feng and M.M. Matuszak and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and JNCI Journal of the National Cancer Institute.

In The Last Decade

Matthew J. Schipper

223 papers receiving 5.9k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Outcomes After Stereotactic Body Radiotherapy or Radiofrequency Ablation for Hepatocellular Carcinoma

2015 379 citations Daniel Wahl, Matthew H. Stenmark et al. Journal of Clinical Oncology profile →
Cardiac Events After Radiation Therapy: Combined Analysis of Prospective Multicenter Trials for Locally Advanced Non–Small-Cell Lung Cancer

2017 259 citations Robert T. Dess, Yilun Sun et al. Journal of Clinical Oncology profile →

Author Peers

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

Author						Papers	Cites
Matthew J. Schipper	2.7k	1.8k	1.6k	1.1k	1.1k	235	6.0k
Éric Lartigau	2.0k 0.8×	1.3k 0.7×	1.4k 0.9×	946 0.8×	905 0.8×	249	4.7k
Mary Feng	2.2k 0.8×	1.7k 1.0×	1.9k 1.2×	896 0.8×	1.4k 1.3×	108	5.2k
Masato Hareyama	3.3k 1.2×	1.4k 0.8×	1.8k 1.1×	1.6k 1.4×	1.7k 1.6×	178	6.2k
Umberto Ricardi	4.8k 1.8×	2.4k 1.3×	2.3k 1.5×	2.7k 2.4×	2.3k 2.2×	362	10.0k
Yong Chan Ahn	3.3k 1.2×	1.1k 0.6×	712 0.4×	2.9k 2.5×	1.8k 1.7×	282	6.9k
David A. Palma	6.7k 2.5×	3.3k 1.8×	3.4k 2.2×	2.2k 1.9×	1.5k 1.4×	342	9.5k
C.A. Reddy	5.9k 2.2×	1.3k 0.7×	2.3k 1.5×	1.2k 1.0×	1.5k 1.4×	340	9.3k
Bhadrasain Vikram	1.6k 0.6×	1.2k 0.7×	973 0.6×	2.2k 1.9×	2.3k 2.1×	148	5.9k
Morten Høyer	5.2k 1.9×	2.8k 1.5×	4.1k 2.6×	1.6k 1.4×	1.4k 1.3×	205	8.1k
Kazushige Hayakawa	5.5k 2.0×	2.0k 1.1×	2.1k 1.3×	2.0k 1.8×	1.1k 1.0×	194	7.4k

Countries citing papers authored by Matthew J. Schipper

Since Specialization

Citations

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

Fields of papers citing papers by Matthew J. Schipper

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew J. Schipper. 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 Matthew J. Schipper. The network helps show where Matthew J. Schipper may publish in the future.

Co-authorship network of co-authors of Matthew J. Schipper

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Schipper. A scholar is included among the top collaborators of Matthew J. Schipper 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 Matthew J. Schipper. Matthew J. Schipper 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

Gonzalez, Richard, Will Jackson, Megan E.V. Caram, et al.. (2025). Rates of PSMA PET Staging and Positivity in Newly Diagnosed Prostate Cancer in a National Health Care System. Journal of Nuclear Medicine. 66(1). 75–83. 5 indexed citations

Dykstra, Michael, Huiying Yin, Mark Zaki, et al.. (2024). Microboost in Localized Prostate Cancer: Analysis of a Statewide Quality Consortium. Advances in Radiation Oncology. 9(11). 101629–101629. 1 indexed citations

Bryant, Alex K., Yuewei Lin, James M. Rae, et al.. (2024). Artificial intelligence to unlock real‐world evidence in clinical oncology: A primer on recent advances. Cancer Medicine. 13(12). e7253–e7253. 4 indexed citations

Hadley, Scott, Vaibhav Sahai, Filip Bednar, et al.. (2023). Predictors of Acute and Late Toxicity in Patients Receiving Chemoradiation for Unresectable Pancreatic Cancer. Advances in Radiation Oncology. 8(6). 101266–101266. 4 indexed citations

Herr, Daniel J., Chang Wang, Mishal Mendiratta‐Lala, et al.. (2023). A Phase II Study of Optimized Individualized Adaptive Radiotherapy for Hepatocellular Carcinoma. Clinical Cancer Research. 29(19). 3852–3858. 3 indexed citations

Mayo, Charles S., Michelle Mierzwa, Pratyusha Yalamanchi, et al.. (2023). Machine Learning Model of Emergency Department Use for Patients Undergoing Treatment for Head and Neck Cancer Using Comprehensive Multifactor Electronic Health Records. JCO Clinical Cancer Informatics. 7(7). e2200037–e2200037. 7 indexed citations

Chase, Elizabeth C., Alex K. Bryant, Yilun Sun, et al.. (2022). Development and validation of a life expectancy calculator for US patients with prostate cancer. British Journal of Urology. 130(4). 496–506. 3 indexed citations

Homer, Victoria, Christina Yap, Simon Bond, et al.. (2022). Early phase clinical trials extension to guidelines for the content of statistical analysis plans. BMJ. 376. e068177–e068177. 17 indexed citations

Vince, Randy, Ji Qi, Jeffrey J. Tosoian, et al.. (2021). Impact of Decipher Biopsy testing on clinical outcomes in localized prostate cancer in a prospective statewide collaborative. Prostate Cancer and Prostatic Diseases. 25(4). 677–683. 19 indexed citations

10.

Kim, Michelle M., Yilun Sun, Madhava Aryal, et al.. (2021). A Phase 2 Study of Dose-intensified Chemoradiation Using Biologically Based Target Volume Definition in Patients With Newly Diagnosed Glioblastoma. International Journal of Radiation Oncology*Biology*Physics. 110(3). 792–803. 25 indexed citations

11.

Mehta, Ranjit K., Merna Sitto, Theresa P. Devasia, et al.. (2020). Low-Dose Hsp90 Inhibitor Selectively Radiosensitizes HNSCC and Pancreatic Xenografts. Clinical Cancer Research. 26(19). 5246–5257. 17 indexed citations

12.

Dess, Robert T., Yilun Sun, Daniel G. Muenz, et al.. (2019). Cardiac Dose in Locally Advanced Lung Cancer: Results From a Statewide Consortium. Practical Radiation Oncology. 10(1). e27–e36. 13 indexed citations

13.

Jolly, Shruti, Yilun Sun, Peter G. Hawkins, et al.. (2017). Individualizing Radiation Dose in Locally Advanced Non–Small Cell Lung Cancer Patients Using Pretreatment Serum MicroRNA Signatures. International Journal of Radiation Oncology*Biology*Physics. 98(1). 222–222. 2 indexed citations

14.

Hawkins, Peter G., Jae Lee, C. Lee, et al.. (2017). Adaptive Chemoradiation Therapy for Head and Neck Cancer Based on Multiparametric MRI: Interim Results of a Prospective Randomized Trial. International Journal of Radiation Oncology*Biology*Physics. 99(2). E339–E339. 1 indexed citations

15.

Kong, Feng‐Ming, Randall K. Ten Haken, Matthew J. Schipper, et al.. (2017). Effect of Midtreatment PET/CT-Adapted Radiation Therapy With Concurrent Chemotherapy in Patients With Locally Advanced Non–Small-Cell Lung Cancer. PMC. 9 indexed citations

16.

Roberson, Peter L., Lauren B. Smith, Meredith A. Morgan, et al.. (2017). Beyond Dose: Using Pretherapy Biomarkers to Improve Dose Prediction of Outcomes for Radioimmunotherapy of Non-Hodgkin Lymphoma. Cancer Biotherapy and Radiopharmaceuticals. 32(9). 309–319. 1 indexed citations

17.

Sapir, Eli, Yebin Tao, Jeffrey Lin, et al.. (2016). Surgical Resection or Stereotactic Body Radiation Therapy for Sarcoma Patients With Pulmonary Metastases. International Journal of Radiation Oncology*Biology*Physics. 96(2). S26–S26. 2 indexed citations

18.

Wahl, Daniel, Matthew H. Stenmark, Yebin Tao, et al.. (2015). Outcomes After Stereotactic Body Radiotherapy or Radiofrequency Ablation for Hepatocellular Carcinoma. Journal of Clinical Oncology. 34(5). 452–459. 379 indexed citations breakdown →

19.

Chapman, Christopher, Yebin Tao, Matthew J. Schipper, et al.. (2015). Dose-Volume Effects of Partial-Brain Radiation Therapy on Late Neurocognitive Processing Speed and Executive Function. International Journal of Radiation Oncology*Biology*Physics. 93(3). S175–S175. 2 indexed citations

20.

Schipper, Matthew J., Kenneth F. Koral, Anca M. Avram, Mark Kaminski, & Yuni K. Dewaraja. (2012). Prediction of Therapy Tumor-Absorbed Dose Estimates in I-131 Radioimmunotherapy Using Tracer Data Via a Mixed-Model Fit to Time Activity. Cancer Biotherapy and Radiopharmaceuticals. 27(7). 403–411. 17 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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