Habib Rahbar

3.9k total citations · 1 hit paper
78 papers, 2.5k citations indexed

About

Habib Rahbar is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, Habib Rahbar has authored 78 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Radiology, Nuclear Medicine and Imaging, 22 papers in Pathology and Forensic Medicine and 22 papers in Cancer Research. Recurrent topics in Habib Rahbar's work include MRI in cancer diagnosis (54 papers), Radiomics and Machine Learning in Medical Imaging (34 papers) and Breast Cancer Treatment Studies (22 papers). Habib Rahbar is often cited by papers focused on MRI in cancer diagnosis (54 papers), Radiomics and Machine Learning in Medical Imaging (34 papers) and Breast Cancer Treatment Studies (22 papers). Habib Rahbar collaborates with scholars based in United States, Germany and South Korea. Habib Rahbar's co-authors include Savannah C. Partridge, Constance D. Lehman, Wendy B. DeMartini, Averi E. Kitsch, Sue Peacock, Noam Nissan, Eric E. Sigmund, John R. Scheel, Daniel S. Hippe and Sana Parsian and has published in prestigious journals such as Cell, JAMA and Journal of Clinical Oncology.

In The Last Decade

Habib Rahbar

69 papers receiving 2.4k 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.

Comparison of Abbreviated Breast MRI vs Digital Breast Tomosynthesis for Breast Cancer Detection Among Women With Dense Breasts Undergoing Screening

2020 265 citations Christopher Comstock, Constantine Gatsonis et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Habib Rahbar United States	27	1.9k	542	450	366	326	78	2.5k
Eun Young Chae South Korea	25	989 0.5×	488 0.9×	535 1.2×	420 1.1×	310 1.0×	112	1.7k
Christopher Comstock United States	17	1.1k 0.6×	455 0.8×	362 0.8×	394 1.1×	305 0.9×	60	1.7k
Eun Sook Ko South Korea	29	1.7k 0.9×	613 1.1×	664 1.5×	388 1.1×	367 1.1×	99	2.4k
Haydee Ojeda‐Fournier United States	16	941 0.5×	252 0.5×	342 0.8×	255 0.7×	264 0.8×	68	1.5k
Paola Clauser Austria	30	2.5k 1.3×	497 0.9×	390 0.9×	691 1.9×	299 0.9×	125	3.1k
Heribert Bieling Germany	8	1.2k 0.6×	589 1.1×	452 1.0×	314 0.9×	331 1.0×	13	1.7k
Bong Joo Kang South Korea	27	1.3k 0.7×	614 1.1×	536 1.2×	380 1.0×	358 1.1×	116	2.2k
Janice S. Sung United States	23	1.4k 0.7×	579 1.1×	604 1.3×	913 2.5×	394 1.2×	63	2.0k
Kathy Schilling United States	17	1.0k 0.5×	745 1.4×	593 1.3×	436 1.2×	318 1.0×	31	1.9k
Helga S. Marques United States	17	1.0k 0.5×	326 0.6×	424 0.9×	211 0.6×	227 0.7×	31	1.4k

Countries citing papers authored by Habib Rahbar

Since Specialization

Citations

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

Fields of papers citing papers by Habib Rahbar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Habib Rahbar

This figure shows the co-authorship network connecting the top 25 collaborators of Habib Rahbar. A scholar is included among the top collaborators of Habib Rahbar 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 Habib Rahbar. Habib Rahbar 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

Oviedo, Felipe, Yixi Xu, Robert A. Vandermeulen, et al.. (2025). Cancer Detection in Breast MRI Screening via Explainable AI Anomaly Detection. Radiology. 316(1). e241629–e241629. 2 indexed citations

Hippe, Daniel S., et al.. (2025). Time to Enhancement Measured From Ultrafast Dynamic Contrast-Enhanced MRI for Improved Breast Lesion Diagnosis. Journal of Breast Imaging. 7(4). 453–462.

Javid, Sara H., Daniel S. Hippe, Jennifer Xiao, et al.. (2025). Preoperative MRI to Predict Upstaging of DCIS to Invasive Cancer at Surgery. Annals of Surgical Oncology. 32(5). 3234–3243.

Youn, Inyoung, Daniel S. Hippe, Sara H. Javid, et al.. (2024). Diagnostic Performance of Point-of-Care Apparent Diffusion Coefficient Measures to Reduce Biopsy in Breast Lesions at MRI: Clinical Validation. Radiology. 310(2). e232313–e232313. 6 indexed citations

Hippe, Daniel S., et al.. (2024). Diffusion weighted imaging for improving the diagnostic performance of screening breast MRI: impact of apparent diffusion coefficient quantitation methods and cutoffs. Frontiers in Oncology. 14. 1437506–1437506.

Javid, Sara H., et al.. (2023). Preoperative Breast MRI: Current Evidence and Patient Selection. Journal of Breast Imaging. 5(2). 112–124. 10 indexed citations

Dehkordy, Soudabeh Fazeli, Bradley S. Snyder, Ilana F. Gareen, et al.. (2022). Association Between Surgery Preference and Receipt in Ductal Carcinoma In Situ After Breast Magnetic Resonance Imaging. JAMA Network Open. 5(5). e2210331–e2210331. 3 indexed citations

Grimm, Lars J., et al.. (2021). Ductal Carcinoma in Situ: State-of-the-Art Review. Radiology. 302(2). 246–255. 51 indexed citations

Lee, Janie M., Daniel S. Hippe, Hannah M. Linden, et al.. (2021). Accuracy of Preoperative Breast MRI Versus Conventional Imaging in Measuring Pathologic Extent of Invasive Lobular Carcinoma. Journal of Breast Imaging. 3(3). 288–298. 29 indexed citations

10.

Rahbar, Habib & Judy A. Tjoe. (2021). Breast MRI in the setting of DCIS: quality trials are still needed to determine its value. European Radiology. 31(8). 5877–5879. 4 indexed citations

11.

Rahbar, Habib, Daniel S. Hippe, Ahmed M. Alaa, et al.. (2020). The Value of Patient and Tumor Factors in Predicting Preoperative Breast MRI Outcomes. Radiology Imaging Cancer. 2(4). e190099–e190099. 7 indexed citations

12.

Grimm, Lars J., et al.. (2019). Ductal Carcinoma in Situ: Current Concepts in Biology, Imaging, and Treatment. Journal of Breast Imaging. 1(3). 166–176. 35 indexed citations

13.

Lam, Diana L., Savannah C. Partridge, Sara H. Javid, et al.. (2019). The Impact of Preoperative Breast MRI on Surgical Management of Women with Newly Diagnosed Ductal Carcinoma In Situ. Academic Radiology. 27(4). 478–486. 15 indexed citations

14.

Amornsiripanitch, Nita, Habib Rahbar, Daniel S. Hippe, et al.. (2017). Diffusion‐weighted MRI characteristics associated with prognostic pathological factors and recurrence risk in invasive ER+/HER2– breast cancers. Journal of Magnetic Resonance Imaging. 48(1). 226–236. 34 indexed citations

15.

Rahbar, Habib, et al.. (2017). Apparent diffusion coefficient values may help predict which MRI‐detected high‐risk breast lesions will upgrade at surgical excision. Journal of Magnetic Resonance Imaging. 46(4). 1028–1036. 24 indexed citations

16.

Rahbar, Habib, Brenda F. Kurland, Matthew Olson, et al.. (2016). Diffusion-Weighted Breast Magnetic Resonance Imaging. Journal of Computer Assisted Tomography. 40(3). 428–435. 12 indexed citations

17.

Scheel, John R., Daniel S. Hippe, Janie M. Lee, et al.. (2016). Are Physicians Influenced by Their Own Specialty Society's Guidelines Regarding Mammography Screening? An Analysis of Nationally Representative Data. American Journal of Roentgenology. 207(5). 959–964. 14 indexed citations

18.

Rahbar, Habib, Sana Parsian, Diana L. Lam, et al.. (2015). Can MRI biomarkers at 3 T identify low-risk ductal carcinoma in situ?. Clinical Imaging. 40(1). 125–129. 11 indexed citations

19.

DeMartini, Wendy B. & Habib Rahbar. (2013). Breast Magnetic Resonance Imaging Technique at 1.5 T and 3 T. Magnetic Resonance Imaging Clinics of North America. 21(3). 475–482. 13 indexed citations

20.

Rahbar, Habib, et al.. (2013). Clinical and technical considerations for high quality breast MRI at 3 tesla. Journal of Magnetic Resonance Imaging. 37(4). 778–790. 42 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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