Michael H. Rosenthal

3.6k total citations
78 papers, 1.3k citations indexed

About

Michael H. Rosenthal is a scholar working on Surgery, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Michael H. Rosenthal has authored 78 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Surgery, 30 papers in Oncology and 26 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Michael H. Rosenthal's work include Pancreatic and Hepatic Oncology Research (12 papers), Nutrition and Health in Aging (7 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Michael H. Rosenthal is often cited by papers focused on Pancreatic and Hepatic Oncology Research (12 papers), Nutrition and Health in Aging (7 papers) and Radiomics and Machine Learning in Medical Imaging (7 papers). Michael H. Rosenthal collaborates with scholars based in United States, South Korea and United Kingdom. Michael H. Rosenthal's co-authors include Nikhil H. Ramaiya, Atul B. Shinagare, Sree Harsha Tirumani, Stephanie A. Howard, Brian M. Wolpin, Jyothi P. Jagannathan, Katherine M. Krajewski, Akshay Baheti, Lauren K. Brais and Kirti Magudia and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Gastroenterology.

In The Last Decade

Michael H. Rosenthal

74 papers receiving 1.3k citations

Peers

Michael H. Rosenthal
Boudewijn E. C. Plaat Netherlands
Hee Chul Yu South Korea
Yunhee Choi South Korea
Vishal S. Chandan United States
Chien-Yuh Yeh Taiwan
John A. Heaney United States
Pramod Rao France
Mark W. El‐Deiry United States
Pardeep Mittal United States
Woong Nam South Korea
Boudewijn E. C. Plaat Netherlands
Michael H. Rosenthal
Citations per year, relative to Michael H. Rosenthal Michael H. Rosenthal (= 1×) peers Boudewijn E. C. Plaat

Countries citing papers authored by Michael H. Rosenthal

Since Specialization
Citations

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

Fields of papers citing papers by Michael H. Rosenthal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael H. Rosenthal. 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 Michael H. Rosenthal. The network helps show where Michael H. Rosenthal may publish in the future.

Co-authorship network of co-authors of Michael H. Rosenthal

This figure shows the co-authorship network connecting the top 25 collaborators of Michael H. Rosenthal. A scholar is included among the top collaborators of Michael H. Rosenthal 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 Michael H. Rosenthal. Michael H. Rosenthal 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.
Cao, Anlan, Elizabeth Armstrong, Wendy Y. Chen, et al.. (2025). Integrating a Shareable Artificial Intelligence Model Into Clinical Research for Cancer Recurrence in Patients With Breast and Colorectal Cancer. JCO Clinical Cancer Informatics. 9(9). e2500143–e2500143.
2.
Huang, Chenchan, Elizabeth M. Hecht, Erik V. Soloff, et al.. (2024). Imaging for Early Detection of Pancreatic Ductal Adenocarcinoma: Updates and Challenges in the Implementation of Screening and Surveillance Programs. American Journal of Roentgenology. 223(2). e2431151–e2431151. 2 indexed citations
3.
Rubinson, Douglas A., Noritaka Tanaka, Ferran Fece de la Cruz, et al.. (2024). Sotorasib Is a Pan- RAS G12C Inhibitor Capable of Driving Clinical Response in NRAS G12C Cancers. Cancer Discovery. 14(5). 727–736. 23 indexed citations
4.
Rosenthal, Michael H., Filipe A. Moura, Sanjay Divakaran, et al.. (2023). Body Composition, Coronary Microvascular Dysfunction, and Future Risk of Cardiovascular Events Including Heart Failure. JACC. Cardiovascular imaging. 17(2). 179–191. 28 indexed citations
5.
Rosenthal, Michael H., et al.. (2023). Potential of artificial intelligence in the risk stratification for and early detection of pancreatic cancer. PubMed. 3(1). 14–26. 8 indexed citations
6.
Zhang, Yin, Qiao-Li Wang, Chen Yuan, et al.. (2023). Pancreatic cancer is associated with medication changes prior to clinical diagnosis. Nature Communications. 14(1). 2437–2437. 6 indexed citations
7.
Magudia, Kirti, Christopher P. Bridge, Katherine P. Andriole, & Michael H. Rosenthal. (2021). The Trials and Tribulations of Assembling Large Medical Imaging Datasets for Machine Learning Applications. Journal of Digital Imaging. 34(6). 1424–1429. 10 indexed citations
8.
Laur, Olga, Michael J. Weaver, Christopher P. Bridge, et al.. (2021). Computed tomography-based body composition profile as a screening tool for geriatric frailty detection. Skeletal Radiology. 51(7). 1371–1380. 8 indexed citations
9.
Magudia, Kirti, Christopher P. Bridge, Camden Bay, et al.. (2020). Population-Scale CT-based Body Composition Analysis of a Large Outpatient Population Using Deep Learning to Derive Age-, Sex-, and Race-specific Reference Curves. Radiology. 298(2). 319–329. 98 indexed citations
10.
Wiggins, Walter F., M. Travis Caton, Kirti Magudia, et al.. (2020). Preparing Radiologists to Lead in the Era of Artificial Intelligence: Designing and Implementing a Focused Data Science Pathway for Senior Radiology Residents. Radiology Artificial Intelligence. 2(6). e200057–e200057. 34 indexed citations
11.
Gurjao, Carino, David Liu, Matan Hofree, et al.. (2019). Intrinsic Resistance to Immune Checkpoint Blockade in a Mismatch Repair–Deficient Colorectal Cancer. Cancer Immunology Research. 7(8). 1230–1236. 60 indexed citations
12.
Rosenthal, Michael H., et al.. (2019). Bayesian Estimation of Three-Dimensional Chromosomal Structure from Single-Cell Hi-C Data. Journal of Computational Biology. 26(11). 1191–1202. 32 indexed citations
13.
Gollub, Marc J., Chandana Lall, Neeraj Lalwani, & Michael H. Rosenthal. (2019). Current controversy, confusion, and imprecision in the use and interpretation of rectal MRI. Abdominal Radiology. 44(11). 3549–3558. 26 indexed citations
14.
Thomas, Richard, Atul B. Shinagare, Michael H. Rosenthal, et al.. (2019). Computed tomographic assessment of lean body mass in patients on selective androgen receptor modulator. Clinical Imaging. 59(2). 100–103. 1 indexed citations
15.
Rosenthal, Michael H.. (2019). Deterring Nuclear Proliferation: The Importance of IAEA Safeguards. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3 indexed citations
16.
Chawla, Akhil, Michael H. Rosenthal, & Thomas E. Clancy. (2018). Implications of the replaced right hepatic artery originating from the gastroduodenal artery in the setting of a pancreatic head mass. Clinical Imaging. 52. 189–192. 2 indexed citations
17.
Gilbert, Jackie, Brian M. Wolpin, Thomas E. Clancy, et al.. (2017). Borderline resectable pancreatic cancer: conceptual evolution and current approach to image-based classification. Annals of Oncology. 28(9). 2067–2076. 64 indexed citations
18.
Tirumani, Sree Harsha, Katherine M. Krajewski, Mizuki Nishino, et al.. (2015). Anti-VEGF Molecular Targeted Therapies in Common Solid Malignancies: Comprehensive Update for Radiologists. Radiographics. 35(2). 455–474. 32 indexed citations
19.
Burke, Charles T., John M. Cullen, Andrei State, et al.. (2011). Development of an Animal Model for Radiofrequency Ablation of Primary, Virally Induced Hepatocellular Carcinoma in the Woodchuck. Journal of Vascular and Interventional Radiology. 22(11). 1613–1618.e1. 15 indexed citations
20.
Rosenthal, Michael H.. (1995). Testing the water: Gainsborough in Bath in 1758. Apollo: The international magazine of arts. 49–54. 1 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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