Stephen A. Rosenberg

2.6k total citations · 1 hit paper
96 papers, 1.8k citations indexed

About

Stephen A. Rosenberg is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Radiation. According to data from OpenAlex, Stephen A. Rosenberg has authored 96 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Radiology, Nuclear Medicine and Imaging, 35 papers in Pulmonary and Respiratory Medicine and 34 papers in Radiation. Recurrent topics in Stephen A. Rosenberg's work include Advanced Radiotherapy Techniques (34 papers), Radiomics and Machine Learning in Medical Imaging (19 papers) and Lung Cancer Diagnosis and Treatment (14 papers). Stephen A. Rosenberg is often cited by papers focused on Advanced Radiotherapy Techniques (34 papers), Radiomics and Machine Learning in Medical Imaging (19 papers) and Lung Cancer Diagnosis and Treatment (14 papers). Stephen A. Rosenberg collaborates with scholars based in United States, United Kingdom and Netherlands. Stephen A. Rosenberg's co-authors include M. Bassetti, Craig R. Hullett, Jacob S. Witt, Parag J. Parikh, James S. Goydos, Jeffrey R. Olsen, Jeffrey V. Brower, Soumon Rudra, Austin J. Sim and Lorraine Portelance and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and Annals of Internal Medicine.

In The Last Decade

Stephen A. Rosenberg

90 papers receiving 1.8k citations

Hit Papers

align trajectories

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.

Using adaptive magnetic resonance image‐guided radiation therapy for treatment of inoperable pancreatic cancer

2019 237 citations Stephen A. Rosenberg, Lorraine Portelance et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephen A. Rosenberg United States	21	672	607	596	418	361	96	1.8k
David Shultz Canada	24	429 0.6×	899 1.5×	231 0.4×	547 1.3×	356 1.0×	136	2.1k
Albert van der Kogel Netherlands	15	604 0.9×	496 0.8×	310 0.5×	277 0.7×	386 1.1×	27	1.5k
A. Bruynzeel Netherlands	26	1.1k 1.6×	1.2k 2.1×	1.3k 2.2×	439 1.1×	118 0.3×	78	2.2k
Paul B. Romesser United States	25	397 0.6×	865 1.4×	342 0.6×	958 2.3×	654 1.8×	112	2.7k
Chi Lin United States	26	327 0.5×	728 1.2×	182 0.3×	851 2.0×	310 0.9×	144	2.1k
Loredana G. Marcu Australia	22	545 0.8×	588 1.0×	442 0.7×	350 0.8×	277 0.8×	129	1.6k
J.C. Grecula United States	31	710 1.1×	1.0k 1.7×	420 0.7×	978 2.3×	430 1.2×	159	2.8k
Karen Wong Australia	17	534 0.8×	286 0.5×	312 0.5×	265 0.6×	522 1.4×	61	1.6k
Sui Shen United States	38	2.5k 3.8×	1.1k 1.8×	800 1.3×	649 1.6×	578 1.6×	159	4.0k
Philip P. Connell United States	26	244 0.4×	722 1.2×	261 0.4×	773 1.8×	787 2.2×	69	2.4k

Countries citing papers authored by Stephen A. Rosenberg

Since Specialization

Citations

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

Fields of papers citing papers by Stephen A. Rosenberg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen A. Rosenberg. 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 Stephen A. Rosenberg. The network helps show where Stephen A. Rosenberg may publish in the future.

Co-authorship network of co-authors of Stephen A. Rosenberg

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Bryant, John Michael, Matthew N. Mills, Kujtim Latifi, et al.. (2025). Delta-Radiomics Using Machine Learning Classifiers With Auxiliary Data Sets to Predict Disease Progression During Magnetic Resonance-Guided Radiotherapy in Adrenal Metastases. JCO Clinical Cancer Informatics. 9(9). e2400002–e2400002.

Rishi, Anupam, Kujtim Latifi, G. Daniel Grass, et al.. (2024). Clinical Outcomes of Prostate SBRT Using Non-adaptive MR-Guided Radiotherapy. Cancer Control. 31. 2925688643–2925688643. 1 indexed citations

Mills, Matthew N., Rupesh Kotecha, Tuğçe Kütük, et al.. (2024). Multi-institutional experience of MR-guided stereotactic body radiation therapy for adrenal gland metastases. Clinical and Translational Radiation Oncology. 45. 100719–100719. 2 indexed citations

Witt, Jacob S., Stephen A. Rosenberg, Carri Glide‐Hurst, et al.. (2024). Phase IA/IB Study of OAR-Based, Dose-Escalated SBRT with Real Time Adaptive MRI Guidance for Liver Metastases: Preliminary Safety and Efficacy Results. International Journal of Radiation Oncology*Biology*Physics. 120(2). e430–e430. 1 indexed citations

Palm, Russell F., et al.. (2024). The Role of MRI in Breast Cancer and Breast Conservation Therapy. Cancers. 16(11). 2122–2122. 4 indexed citations

Dilling, Thomas J., et al.. (2023). Novel Dose Criteria for Lung Cancer SBRT to Improve Local Control in Patients Treated to 50 Gy/5 Fractions Using Deep Learning Methods and Explainability Techniques. International Journal of Radiation Oncology*Biology*Physics. 117(2). e662–e662. 2 indexed citations

Bryant, John Michael, Austin J. Sim, Vladimir Feygelman, Kujtim Latifi, & Stephen A. Rosenberg. (2023). Adaptive hypofractionted and stereotactic body radiotherapy for lung tumors with real-time MRI guidance. Frontiers in Oncology. 13. 1061854–1061854. 8 indexed citations

Dilling, Thomas J., et al.. (2023). Deep Learning-Guided Dosimetry for Mitigating Local Failure of Patients With Non-Small Cell Lung Cancer Receiving Stereotactic Body Radiation Therapy. International Journal of Radiation Oncology*Biology*Physics. 119(3). 990–1000. 7 indexed citations

Liveringhouse, Casey, John Michael Bryant, Joseph Weygand, et al.. (2023). Trimodal Therapy Using an MR–guided Radiation Therapy Partial Bladder Tumor Boost in Muscle Invasive Bladder Cancer. Advances in Radiation Oncology. 8(6). 101268–101268. 1 indexed citations

10.

Bryant, John Michael, Joseph Weygand, Jacqueline M. Andreozzi, et al.. (2023). Stereotactic Magnetic Resonance-Guided Adaptive and Non-Adaptive Radiotherapy on Combination MR-Linear Accelerators: Current Practice and Future Directions. Cancers. 15(7). 2081–2081. 16 indexed citations

11.

Chuong, Michael D., Mary Ann Clark, Lauren E. Henke, et al.. (2021). Patterns of Utilization and Clinical Adoption of 0.35 MR-Guided Radiation Therapy in the United States — Understanding the Transition to Adaptive, Ultra-Hypofractionated Treatments. International Journal of Radiation Oncology*Biology*Physics. 111(3). e510–e510. 4 indexed citations

12.

Frakes, Jessica M., Thomas J. Dilling, Stephen A. Rosenberg, et al.. (2021). Developing a Dedicated Leadership Curriculum for Radiation Oncology Residents. Journal of Cancer Education. 37(5). 1446–1453. 7 indexed citations

13.

Hall, William A., Christina Small, E.S. Paulson, et al.. (2021). Magnetic Resonance Guided Radiation Therapy for Pancreatic Adenocarcinoma, Advantages, Challenges, Current Approaches, and Future Directions. Frontiers in Oncology. 11. 628155–628155. 29 indexed citations

14.

Sim, Austin J., Evangelia Kaza, Lisa Singer, & Stephen A. Rosenberg. (2020). A review of the role of MRI in diagnosis and treatment of early stage lung cancer. Clinical and Translational Radiation Oncology. 24. 16–22. 58 indexed citations

15.

Mittauer, Kathryn E., Bhudatt R. Paliwal, Patrick M. Hill, et al.. (2018). A New Era of Image Guidance with Magnetic Resonance-guided Radiation Therapy for Abdominal and Thoracic Malignancies. Cureus. 10(4). e2422–e2422. 66 indexed citations

16.

Mittauer, Kathryn E., Lauren E. Henke, Sahaja Acharya, et al.. (2016). Quantification of Interfractional Gastrointestinal Tract Motion for Pancreatic Cancer Radiation Therapy. International Journal of Radiation Oncology*Biology*Physics. 96(2). E144–E144. 3 indexed citations

17.

Setton, Jeremy, James E. Han, Danita Kannarunimit, et al.. (2015). Long-term patterns of relapse and survival following definitive intensity-modulated radiotherapy for non-endemic nasopharyngeal carcinoma. Oral Oncology. 53. 67–73. 38 indexed citations

18.

Deming, Dustin A., Nataliya V. Uboha, S. Yousuf Zafar, et al.. (2015). Adjuvant Chemotherapy for Stage II Rectal Cancer. Seminars in Oncology. 42(6). e99–e107. 2 indexed citations

19.

Coups, Elliot J., Jerod L. Stapleton, Shawna V. Hudson, et al.. (2012). Skin cancer surveillance behaviors among US Hispanic adults. Journal of the American Academy of Dermatology. 68(4). 576–584. 32 indexed citations

20.

Le, Maithao, et al.. (2010). The Glutamate Release Inhibitor Riluzole Decreases Migration, Invasion, and Proliferation of Melanoma Cells. Journal of Investigative Dermatology. 130(9). 2240–2249. 53 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.

Explore authors with similar magnitude of impact