Paulette Turk

400 total citations · 1 hit paper
5 papers, 271 citations indexed

About

Paulette Turk is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Molecular Biology. According to data from OpenAlex, Paulette Turk has authored 5 papers receiving a total of 271 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Surgery and 1 paper in Molecular Biology. Recurrent topics in Paulette Turk's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Medical Imaging Techniques and Applications (2 papers) and Angiogenesis and VEGF in Cancer (1 paper). Paulette Turk is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Medical Imaging Techniques and Applications (2 papers) and Angiogenesis and VEGF in Cancer (1 paper). Paulette Turk collaborates with scholars based in United States and Belgium. Paulette Turk's co-authors include Jame Abraham, Donna Plecha, Anant Madabhushi, Manasa Vulchi, Nathaniel Braman, Maryam Etesami, Prateek Prasanna, Kaustav Bera, ‬David D. B. Bates and B Bloch and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Clinical Cancer Research.

In The Last Decade

Paulette Turk

5 papers receiving 269 citations

Hit Papers

Association of Peritumoral Radiomics With Tumor Biology a... 2019 2026 2021 2023 2019 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paulette Turk United States 4 245 76 52 47 41 5 271
Manasa Vulchi United States 4 248 1.0× 74 1.0× 56 1.1× 58 1.2× 36 0.9× 5 276
Yangyang Kan China 6 326 1.3× 129 1.7× 40 0.8× 60 1.3× 47 1.1× 6 375
Xiaofeng Jiang China 7 188 0.8× 63 0.8× 111 2.1× 56 1.2× 33 0.8× 13 285
Vidya Sankar Viswanathan United States 10 179 0.7× 91 1.2× 101 1.9× 93 2.0× 32 0.8× 39 307
Gaia Ninatti Italy 8 182 0.7× 49 0.6× 37 0.7× 72 1.5× 24 0.6× 18 249
Oliver Lester Saldanha Germany 6 166 0.7× 100 1.3× 92 1.8× 35 0.7× 40 1.0× 11 227
Gabrielle Baxter United Kingdom 8 274 1.1× 110 1.4× 40 0.8× 72 1.5× 37 0.9× 12 364
Caixia Sun China 8 229 0.9× 109 1.4× 56 1.1× 59 1.3× 35 0.9× 16 282
Zhi-Rui Chuan China 4 250 1.0× 152 2.0× 38 0.7× 26 0.6× 61 1.5× 6 293
Yongai Li China 9 231 0.9× 45 0.6× 25 0.5× 32 0.7× 16 0.4× 25 314

Countries citing papers authored by Paulette Turk

Since Specialization
Citations

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

Fields of papers citing papers by Paulette Turk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paulette Turk

This figure shows the co-authorship network connecting the top 25 collaborators of Paulette Turk. A scholar is included among the top collaborators of Paulette Turk 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 Paulette Turk. Paulette Turk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
1.
Braman, Nathaniel, Prateek Prasanna, Kaustav Bera, et al.. (2022). Novel Radiomic Measurements of Tumor-Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers. Clinical Cancer Research. 28(20). 4410–4424. 19 indexed citations
2.
Braman, Nathaniel, Mohammed El Adoui, Manasa Vulchi, et al.. (2020). Deep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: A multi-institutional validation study.. Nature Communications. 2 indexed citations
3.
Braman, Nathaniel, Prateek Prasanna, Jon Whitney, et al.. (2019). Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy forHER2 (ERBB2)–Positive Breast Cancer. JAMA Network Open. 2(4). e192561–e192561. 235 indexed citations breakdown →
4.
Vulchi, Manasa, Mohammed El Adoui, Nathaniel Braman, et al.. (2019). Development and external validation of a deep learning model for predicting response to HER2-targeted neoadjuvant therapy from pretreatment breast MRI.. Journal of Clinical Oncology. 37(15_suppl). 593–593. 6 indexed citations
5.
Sturgis, Charles D., et al.. (2018). Breast Cancer Risk Associated With Benign Intraductal Papillomas Initially Diagnosed on Core Needle Biopsy. Clinical Breast Cancer. 18(6). 468–473. 9 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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