Robert T. Fazzio

1.1k total citations
42 papers, 762 citations indexed

About

Robert T. Fazzio is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Pathology and Forensic Medicine. According to data from OpenAlex, Robert T. Fazzio has authored 42 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 19 papers in Biomedical Engineering and 13 papers in Pathology and Forensic Medicine. Recurrent topics in Robert T. Fazzio's work include Ultrasound Imaging and Elastography (19 papers), Photoacoustic and Ultrasonic Imaging (14 papers) and Ultrasound and Hyperthermia Applications (12 papers). Robert T. Fazzio is often cited by papers focused on Ultrasound Imaging and Elastography (19 papers), Photoacoustic and Ultrasonic Imaging (14 papers) and Ultrasound and Hyperthermia Applications (12 papers). Robert T. Fazzio collaborates with scholars based in United States, Japan and United Kingdom. Robert T. Fazzio's co-authors include Azra Alizad, Mostafa Fatemi, Sejal Shah, Katrina N. Glazebrook, Nicole P. Sandhu, Max Denis, Adriana Gregory, Mohammad Mehrmohammadi, Mahdi Bayat and Judy C. Boughey and has published in prestigious journals such as Cell, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Robert T. Fazzio

39 papers receiving 752 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Robert T. Fazzio United States	17	334	249	205	173	114	42	762
Mijung Jang South Korea	19	597 1.8×	273 1.1×	424 2.1×	112 0.6×	255 2.2×	74	1.1k
Yu‐Mee Sohn South Korea	16	462 1.4×	213 0.9×	156 0.8×	116 0.7×	133 1.2×	49	879
Ah Young Park South Korea	16	483 1.4×	239 1.0×	141 0.7×	96 0.6×	136 1.2×	50	845
Wen‐Chi Foo United States	17	169 0.5×	133 0.5×	81 0.4×	158 0.9×	86 0.8×	42	693
K Siegmann Germany	14	658 2.0×	353 1.4×	216 1.1×	127 0.7×	165 1.4×	28	1.1k
Sung Eun Song South Korea	19	490 1.5×	139 0.6×	244 1.2×	146 0.8×	238 2.1×	66	931
Seung Ja Kim South Korea	20	1.0k 3.0×	644 2.6×	410 2.0×	218 1.3×	240 2.1×	39	1.5k
F. M. Solivetti Italy	18	103 0.3×	120 0.5×	69 0.3×	91 0.5×	29 0.3×	57	727
Benjamin F. Dessauvagie Australia	13	143 0.4×	167 0.7×	105 0.5×	33 0.2×	80 0.7×	44	411
Fumiaki Tezuka Japan	18	147 0.4×	85 0.3×	135 0.7×	259 1.5×	45 0.4×	75	988

Countries citing papers authored by Robert T. Fazzio

Since Specialization

Citations

This map shows the geographic impact of Robert T. Fazzio'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 Robert T. Fazzio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert T. Fazzio more than expected).

Fields of papers citing papers by Robert T. Fazzio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert T. Fazzio. 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 Robert T. Fazzio. The network helps show where Robert T. Fazzio may publish in the future.

Co-authorship network of co-authors of Robert T. Fazzio

This figure shows the co-authorship network connecting the top 25 collaborators of Robert T. Fazzio. A scholar is included among the top collaborators of Robert T. Fazzio 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 Robert T. Fazzio. Robert T. Fazzio 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

Larson, Nicholas B., Judy C. Boughey, Daniela Stan, et al.. (2025). Ultrasound-based quantitative microvasculature imaging for early prediction of response to neoadjuvant chemotherapy in patients with breast cancer. Breast Cancer Research. 27(1). 24–24.

Takahashi, Hiroaki, Adam T. Froemming, Akira Kawashima, et al.. (2023). Cancer Detection Rate and Abnormal Interpretation Rate of Prostate MRI Performed for Clinical Suspicion of Prostate Cancer. Journal of the American College of Radiology. 21(3). 398–408. 3 indexed citations

Takahashi, Hiroaki, Adam T. Froemming, Akira Kawashima, et al.. (2023). Cancer Detection Rate and Abnormal Interpretation Rate of Prostate MRI in Patients With Low-Grade Cancer. Journal of the American College of Radiology. 21(3). 387–397. 4 indexed citations

Scalise, Lorenzo, Jodi M. Carter, Robert T. Fazzio, et al.. (2023). Noninvasive prediction of axillary lymph node breast cancer metastasis using morphometric analysis of nodal tumor microvessels in a contrast-free ultrasound approach. Breast Cancer Research. 25(1). 65–65. 7 indexed citations

Larson, Nicholas B., Jodi M. Carter, Judy C. Boughey, et al.. (2022). Hybrid high-definition microvessel imaging/shear wave elastography improves breast lesion characterization. Breast Cancer Research. 24(1). 16–16. 18 indexed citations

Polley, Eric C., Max Denis, Jodi M. Carter, et al.. (2021). Early assessment of shear wave elastography parameters foresees the response to neoadjuvant chemotherapy in patients with invasive breast cancer. Breast Cancer Research. 23(1). 52–52. 24 indexed citations

Polley, Eric C., et al.. (2021). Prediction of Invasive Breast Cancer Using Mass Characteristic Frequency and Elasticity in Correlation with Prognostic Histologic Features and Immunohistochemical Biomarkers. Ultrasound in Medicine & Biology. 47(8). 2193–2201. 9 indexed citations

Gregory, Adriana, Max Denis, Mahdi Bayat, et al.. (2020). Predictive value of comb-push ultrasound shear elastography for the differentiation of reactive and metastatic axillary lymph nodes: A preliminary investigation. PLoS ONE. 15(1). e0226994–e0226994. 4 indexed citations

Patel, Bhavika, Matthew P. Johnson, Jennifer R. Geske, et al.. (2020). Trends of Supplemental Screening in Women With Dense Breasts. Journal of the American College of Radiology. 17(8). 990–998. 18 indexed citations

10.

Johnson, Matthew P., et al.. (2020). Prone Versus Upright Digital Tomosynthesis–Guided Biopsy. American Journal of Roentgenology. 215(3). 760–764. 5 indexed citations

11.

Bayat, Mahdi, Alireza Nabavizadeh, Jeremy Webb, et al.. (2020). Multi-parameter Sub-Hertz Analysis of Viscoelasticity With a Quality Metric for Differentiation of Breast Masses. Ultrasound in Medicine & Biology. 46(12). 3393–3403. 4 indexed citations

12.

Polley, Eric C., et al.. (2020). Individualized-thresholding Shear Wave Elastography combined with clinical factors improves specificity in discriminating breast masses. The Breast. 54. 248–255. 12 indexed citations

13.

Dilaveri, Christina A., et al.. (2019). Breast Cancer Screening for Women at Average Risk. Current Breast Cancer Reports. 11(3). 123–128. 2 indexed citations

14.

Murphy, Brittany L., Robert T. Fazzio, Tanya L. Hoskin, et al.. (2018). Management of the axilla in metaplastic breast carcinoma. Gland Surgery. 7(2). 200–206. 10 indexed citations

15.

Terra, Simone, et al.. (2018). Granulomatous diseases of the breast and axilla: radiological findings with pathological correlation. Insights into Imaging. 9(1). 59–71. 35 indexed citations

16.

Bayat, Mahdi, Max Denis, Adriana Gregory, et al.. (2017). Diagnostic features of quantitative comb-push shear elastography for breast lesion differentiation. PLoS ONE. 12(3). e0172801–e0172801. 29 indexed citations

17.

Shah, Sejal, Robert T. Fazzio, Tanya L. Hoskin, et al.. (2017). Multivariate model to identify women at low risk of cancer upgrade after a core needle biopsy diagnosis of atypical ductal hyperplasia. Breast Cancer Research and Treatment. 164(2). 295–304. 62 indexed citations

18.

Denis, Max, Adriana Gregory, Mahdi Bayat, et al.. (2016). Correlating Tumor Stiffness with Immunohistochemical Subtypes of Breast Cancers: Prognostic Value of Comb-Push Ultrasound Shear Elastography for Differentiating Luminal Subtypes. PLoS ONE. 11(10). e0165003–e0165003. 41 indexed citations

19.

Denis, Max, Mohammad Mehrmohammadi, Pengfei Song, et al.. (2015). Comb-Push Ultrasound Shear Elastography of Breast Masses: Initial Results Show Promise. PLoS ONE. 10(3). e0119398–e0119398. 31 indexed citations

20.

Mehrmohammadi, Mohammad, Robert T. Fazzio, Dana H. Whaley, et al.. (2014). Preliminary in Vivo Breast Vibro-acoustography Results with a Quasi-2-D Array Transducer: A Step Forward Toward Clinical Applications. Ultrasound in Medicine & Biology. 40(12). 2819–2829. 7 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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