Ralph Wynn

1.5k total citations
28 papers, 1.1k citations indexed

About

Ralph Wynn is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Ralph Wynn has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Cancer Research and 10 papers in Pathology and Forensic Medicine. Recurrent topics in Ralph Wynn's work include MRI in cancer diagnosis (12 papers), Breast Cancer Treatment Studies (12 papers) and Breast Lesions and Carcinomas (10 papers). Ralph Wynn is often cited by papers focused on MRI in cancer diagnosis (12 papers), Breast Cancer Treatment Studies (12 papers) and Breast Lesions and Carcinomas (10 papers). Ralph Wynn collaborates with scholars based in United States, United Kingdom and Sweden. Ralph Wynn's co-authors include Richard Ha, Victoria L. Mango, Sheldon Feldman, Lauren Friedlander, Jenika Karcich, Elise Desperito, Simukayi Mutasa, Sachin Jambawalikar, Michael Z. Liu and Mary Sun and has published in prestigious journals such as Radiology, American Journal of Roentgenology and Journal of Magnetic Resonance Imaging.

In The Last Decade

Ralph Wynn

28 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ralph Wynn United States 16 517 484 404 394 238 28 1.1k
Rubina Manuela Trimboli Italy 19 589 1.1× 279 0.6× 314 0.8× 167 0.4× 307 1.3× 38 1.1k
Stefanie Weigel Germany 16 438 0.8× 240 0.5× 273 0.7× 227 0.6× 308 1.3× 52 985
Luca Alessandro Carbonaro Italy 18 639 1.2× 232 0.5× 165 0.4× 197 0.5× 220 0.9× 47 902
Sujata V. Ghate United States 17 521 1.0× 184 0.4× 136 0.3× 402 1.0× 253 1.1× 38 858
Hiroko Tsunoda Japan 15 327 0.6× 336 0.7× 316 0.8× 147 0.4× 114 0.5× 100 808
Jocelyn A. Rapelyea United States 16 676 1.3× 494 1.0× 379 0.9× 320 0.8× 463 1.9× 30 1.2k
Su Min Ha South Korea 16 450 0.9× 223 0.5× 302 0.7× 137 0.3× 91 0.4× 59 924
Jafi A. Lipson United States 19 357 0.7× 209 0.4× 388 1.0× 253 0.6× 290 1.2× 43 974
Antuono Latronico Italy 14 219 0.4× 193 0.4× 231 0.6× 146 0.4× 100 0.4× 42 577
Sona A. Chikarmane United States 20 734 1.4× 498 1.0× 284 0.7× 255 0.6× 231 1.0× 58 1.2k

Countries citing papers authored by Ralph Wynn

Since Specialization
Citations

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

Fields of papers citing papers by Ralph Wynn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ralph Wynn

This figure shows the co-authorship network connecting the top 25 collaborators of Ralph Wynn. A scholar is included among the top collaborators of Ralph Wynn 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 Ralph Wynn. Ralph Wynn 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.
Consul, Nikita, et al.. (2018). Utility of preoperative breast MRI in patient selection for accelerated partial breast irradiation by different consensus guidelines. The Breast Journal. 25(1). 160–162. 1 indexed citations
2.
Ha, Richard, Victoria L. Mango, Eralda Mema, et al.. (2018). Evaluation of association between degree of background parenchymal enhancement on MRI and breast cancer subtype. Clinical Imaging. 51. 307–310. 10 indexed citations
3.
Ha, Richard, Peter Chang, Jenika Karcich, et al.. (2018). Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset. Journal of Digital Imaging. 31(6). 851–856. 52 indexed citations
4.
Ha, Richard, Peter Chang, Eralda Mema, et al.. (2018). Fully Automated Convolutional Neural Network Method for Quantification of Breast MRI Fibroglandular Tissue and Background Parenchymal Enhancement. Journal of Digital Imaging. 32(1). 141–147. 36 indexed citations
5.
Mango, Victoria L., et al.. (2018). Are Mammographically Occult Additional Tumors Identified More Than 2 Cm Away From the Primary Breast Cancer on MRI Clinically Significant?. Academic Radiology. 26(4). 502–507. 2 indexed citations
6.
Mema, Eralda, et al.. (2018). In the Setting of Negative Mammogram, Is Additional Breast Ultrasound Necessary for Evaluation of Breast Pain?. Current Problems in Diagnostic Radiology. 48(2). 117–120. 4 indexed citations
7.
Ha, Richard, Jenika Karcich, Michael Z. Liu, et al.. (2018). Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor Dataset. Journal of Digital Imaging. 32(5). 693–701. 94 indexed citations
8.
Mango, Victoria L., Lauren Friedlander, Elise Desperito, et al.. (2017). Reflector-guided breast tumor localization versus wire localization for lumpectomies: A comparison of surgical outcomes. Clinical Imaging. 47. 14–17. 42 indexed citations
9.
Mango, Victoria L., et al.. (2017). The unusual suspects: A review of unusual benign and malignant male breast imaging cases. Clinical Imaging. 50. 78–85. 6 indexed citations
10.
Mango, Victoria L., Ralph Wynn, Sheldon Feldman, et al.. (2017). Beyond Wires and Seeds: Reflector-guided Breast Lesion Localization and Excision. Radiology. 284(2). 365–371. 68 indexed citations
11.
Ha, Richard, Eralda Mema, Xiaotao Guo, et al.. (2016). Quantitative 3D breast magnetic resonance imaging fibroglandular tissue analysis and correlation with qualitative assessments: a feasibility study. Quantitative Imaging in Medicine and Surgery. 6(2). 144–150. 9 indexed citations
12.
Ha, Richard, Eralda Mema, Xiaotao Guo, et al.. (2016). Three-Dimensional Quantitative Validation of Breast Magnetic Resonance Imaging Background Parenchymal Enhancement Assessments. Current Problems in Diagnostic Radiology. 45(5). 297–303. 11 indexed citations
13.
Wynn, Ralph, et al.. (2015). The Contact Zone: A Common Site of Tumor Recurrence in a Patient Who Underwent Skin-Sparing Mastectomy and Myocutaneous Flap Reconstruction. Current Problems in Diagnostic Radiology. 45(3). 233–234. 3 indexed citations
14.
Friedlander, Lauren, et al.. (2015). Artifacts in Breast Magnetic Resonance Imaging. Current Problems in Diagnostic Radiology. 45(4). 271–277. 3 indexed citations
15.
Ha, Richard, et al.. (2015). Nephrogenic Systemic Fibrosis on Mammography. Current Problems in Diagnostic Radiology. 44(6). 517–520. 1 indexed citations
16.
Ha, Richard, et al.. (2014). Ultrasonographic features and clinical implications of benign palpable breast lesions in young women. ULTRASONOGRAPHY. 34(1). 66–70. 14 indexed citations
17.
Brem, Rachel F., Làszló Tabár, Stephen W. Duffy, et al.. (2014). Assessing Improvement in Detection of Breast Cancer with Three-dimensional Automated Breast US in Women with Dense Breast Tissue: The SomoInsight Study. Radiology. 274(3). 663–673. 252 indexed citations
18.
Sung, Janice S., et al.. (2014). Characteristics and outcome of enhancing foci followed on breast MRI with management implications. Clinical Radiology. 69(7). 715–720. 29 indexed citations
19.
20.
Wynn, Ralph, et al.. (2007). Pleural Effusion with Parenteral Nutrition Solution: An Unusual Complication of an “Appropriately” Placed Umbilical Venous Catheter. American Journal of Perinatology. 24(10). 581–585. 17 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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