Vignesh A. Arasu

949 total citations
26 papers, 543 citations indexed

About

Vignesh A. Arasu is a scholar working on Radiology, Nuclear Medicine and Imaging, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, Vignesh A. Arasu has authored 26 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Pathology and Forensic Medicine and 6 papers in Cancer Research. Recurrent topics in Vignesh A. Arasu's work include MRI in cancer diagnosis (15 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Breast Cancer Treatment Studies (6 papers). Vignesh A. Arasu is often cited by papers focused on MRI in cancer diagnosis (15 papers), Radiomics and Machine Learning in Medical Imaging (12 papers) and Breast Cancer Treatment Studies (6 papers). Vignesh A. Arasu collaborates with scholars based in United States, Sweden and South Korea. Vignesh A. Arasu's co-authors include Bonnie N. Joe, Nola M. Hylton, Laura J. Esserman, John Kornak, Ella F. Jones, Karla Kerlikowske, Elissa R. Price, Heather Greenwood, Diana L. Miglioretti and Diana S.M. Buist and has published in prestigious journals such as Journal of Clinical Oncology, Radiology and American Journal of Roentgenology.

In The Last Decade

Vignesh A. Arasu

25 papers receiving 538 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vignesh A. Arasu United States 14 412 127 106 104 102 26 543
Mengsu Xiao China 12 203 0.5× 80 0.6× 78 0.7× 171 1.6× 118 1.2× 39 390
Nami Choi South Korea 15 349 0.8× 128 1.0× 139 1.3× 73 0.7× 154 1.5× 33 671
Sahar Mansour Egypt 12 274 0.7× 55 0.4× 52 0.5× 125 1.2× 71 0.7× 49 449
Chang Suk Park South Korea 10 331 0.8× 76 0.6× 50 0.5× 112 1.1× 122 1.2× 25 532
Michele Telegrafo Italy 14 422 1.0× 116 0.9× 68 0.6× 120 1.2× 128 1.3× 45 663
Francesca Abbate Italy 12 366 0.9× 146 1.1× 49 0.5× 105 1.0× 139 1.4× 31 549
Gábor Forrai Hungary 10 213 0.5× 93 0.7× 60 0.6× 122 1.2× 90 0.9× 17 383
Christina Dubchuk United States 3 464 1.1× 69 0.5× 88 0.8× 132 1.3× 33 0.3× 5 498
Andrew D. Prather United States 7 180 0.4× 74 0.6× 198 1.9× 72 0.7× 137 1.3× 13 480
Sanaz A. Jansen United States 15 769 1.9× 131 1.0× 44 0.4× 189 1.8× 203 2.0× 23 882

Countries citing papers authored by Vignesh A. Arasu

Since Specialization
Citations

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

Fields of papers citing papers by Vignesh A. Arasu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vignesh A. Arasu

This figure shows the co-authorship network connecting the top 25 collaborators of Vignesh A. Arasu. A scholar is included among the top collaborators of Vignesh A. Arasu 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 Vignesh A. Arasu. Vignesh A. Arasu 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.
Warton, E. Margaret, et al.. (2023). CT Use Reduction In Ostensive Ureteral Stone (CURIOUS). The American Journal of Emergency Medicine. 67. 168–175. 1 indexed citations
2.
Arasu, Vignesh A., Laurel A. Habel, Ninah Achacoso, et al.. (2023). Comparison of Mammography AI Algorithms with a Clinical Risk Model for 5-year Breast Cancer Risk Prediction: An Observational Study. Radiology. 307(5). e222733–e222733. 46 indexed citations
3.
Neeman, Elad, Brooke Vuong, Vignesh A. Arasu, et al.. (2022). Care in the time of COVID-19: impact on the diagnosis and treatment of breast cancer in a large, integrated health care system. Breast Cancer Research and Treatment. 191(3). 665–675. 22 indexed citations
4.
Neeman, Elad, Brooke Vuong, Vignesh A. Arasu, et al.. (2022). Telehealth for Preoperative Evaluation of Patients With Breast Cancer During the COVID-19 Pandemic. The Permanente Journal. 26(2). 54–63. 3 indexed citations
5.
Kene, Mamata V., et al.. (2021). Acute Kidney Injury After CT in Emergency Patients with Chronic Kidney Disease: A Propensity Score-matched Analysis. Western Journal of Emergency Medicine. 22(3). 614–622. 15 indexed citations
6.
Chakedis, Jeffery, Brooke Vuong, Liisa Lyon, et al.. (2021). Implementation of Intraoperative Ultrasound Localization for Breast-Conserving Surgery in a Large, Integrated Health Care System is Feasible and Effective. Annals of Surgical Oncology. 28(10). 5648–5656. 7 indexed citations
7.
Onishi, Natsuko, Wen Li, Jessica Gibbs, et al.. (2020). Impact of MRI Protocol Adherence on Prediction of Pathological Complete Response in the I-SPY 2 Neoadjuvant Breast Cancer Trial. Tomography. 6(2). 77–85. 7 indexed citations
8.
Arasu, Vignesh A., Fredrik Strand, Wen Li, et al.. (2020). Comparison of Segmentation Methods in Assessing Background Parenchymal Enhancement as a Biomarker for Response to Neoadjuvant Therapy. Tomography. 6(2). 101–110. 8 indexed citations
9.
Newitt, David C., Bo La Yun, Ella F. Jones, et al.. (2020). Tumor Sphericity Predicts Response in Neoadjuvant Chemotherapy for Invasive Breast Cancer. Tomography. 6(2). 216–222. 14 indexed citations
10.
Li, Wen, Lisa J. Wilmes, Ella F. Jones, et al.. (2019). Additive value of diffusion‐weighted MRI in the I‐SPY 2 TRIAL. Journal of Magnetic Resonance Imaging. 50(6). 1742–1753. 27 indexed citations
11.
Huang, Shih-Ying, Benjamin L. Franc, Roy Harnish, et al.. (2018). Exploration of PET and MRI radiomic features for decoding breast cancer phenotypes and prognosis. npj Breast Cancer. 4(1). 24–24. 77 indexed citations
12.
Arasu, Vignesh A., et al.. (2018). Imaging the Breast in Pregnant or Lactating Women. Current Radiology Reports. 6(2). 4 indexed citations
13.
Ray, Kimberly M., Karla Kerlikowske, Iryna Lobach, et al.. (2017). Effect of Background Parenchymal Enhancement on Breast MR Imaging Interpretive Performance in Community-based Practices. Radiology. 286(3). 822–829. 49 indexed citations
14.
Lee, Amie Y., Dorota J. Wisner, Shadi Aminololama‐Shakeri, et al.. (2016). Inter-reader Variability in the Use of BI-RADS Descriptors for Suspicious Findings on Diagnostic Mammography. Academic Radiology. 24(1). 60–66. 44 indexed citations
15.
16.
Arasu, Vignesh A., Hani H. Abujudeh, Paul D. Biddinger, et al.. (2015). Diagnostic Emergency Imaging Utilization at an Academic Trauma Center From 1996 to 2012. Journal of the American College of Radiology. 12(5). 467–474. 24 indexed citations
17.
Price, Elissa R., et al.. (2014). Lesion morphology on breast MRI affects targeted ultrasound correlation rate. European Radiology. 25(5). 1279–1284. 12 indexed citations
18.
Arasu, Vignesh A., Bonnie N. Joe, Jessica W. T. Leung, et al.. (2012). Benefit of Semiannual Ipsilateral Mammographic Surveillance Following Breast Conservation Therapy. Radiology. 264(2). 371–377. 43 indexed citations
19.
Kambadakone, Avinash, Vignesh A. Arasu, Anthony E. Samir, et al.. (2012). Qualitative Assessment of Enhancement in a Renal Mass. Journal of Computer Assisted Tomography. 36(4). 381–387. 2 indexed citations
20.
Arasu, Vignesh A., et al.. (2011). Can Signal Enhancement Ratio (SER) Reduce the Number of Recommended Biopsies without Affecting Cancer Yield in Occult MRI-detected Lesions?. Academic Radiology. 18(6). 716–721. 23 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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