Dagane Daar

1.5k total citations · 1 hit paper
16 papers, 1.2k citations indexed

About

Dagane Daar is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Rheumatology. According to data from OpenAlex, Dagane Daar has authored 16 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pulmonary and Respiratory Medicine, 8 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Rheumatology. Recurrent topics in Dagane Daar's work include Prostate Cancer Diagnosis and Treatment (11 papers), MRI in cancer diagnosis (7 papers) and Prostate Cancer Treatment and Research (5 papers). Dagane Daar is often cited by papers focused on Prostate Cancer Diagnosis and Treatment (11 papers), MRI in cancer diagnosis (7 papers) and Prostate Cancer Treatment and Research (5 papers). Dagane Daar collaborates with scholars based in United States, Türkiye and Netherlands. Dagane Daar's co-authors include Peter L. Choyke, Barış Türkbey, Peter A. Pinto, Marcelino Bernardo, Maria J. Merino, Vijay Shah, W. Marston Linehan, Ardeshir R. Rastinehad, Yolanda McKinney and Haresh Mani and has published in prestigious journals such as Journal of Clinical Oncology, Radiology and The Journal of Urology.

In The Last Decade

Dagane Daar

16 papers receiving 1.2k citations

Hit Papers

Multiparametric 3T Prostate Magnetic Resonance Imaging to... 2011 2026 2016 2021 2011 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dagane Daar United States 12 1.0k 607 326 117 85 16 1.2k
Sandeep Sankineni United States 19 1.1k 1.0× 636 1.0× 338 1.0× 80 0.7× 85 1.0× 33 1.3k
Patrik Zámecnik Netherlands 15 1.0k 1.0× 572 0.9× 352 1.1× 103 0.9× 114 1.3× 34 1.3k
Bas Israël Netherlands 12 1.2k 1.1× 571 0.9× 379 1.2× 111 0.9× 88 1.0× 21 1.3k
Compton J. Benjamin United States 11 914 0.9× 466 0.8× 333 1.0× 143 1.2× 139 1.6× 19 1.2k
Naira Muradyan United States 14 613 0.6× 451 0.7× 211 0.6× 60 0.5× 75 0.9× 21 871
Roel A. M. Heesakkers Netherlands 7 933 0.9× 519 0.9× 283 0.9× 77 0.7× 123 1.4× 11 1.1k
Annerleim Walton‐Diaz United States 16 1.3k 1.3× 458 0.8× 584 1.8× 49 0.4× 173 2.0× 42 1.5k
Esther Wit Netherlands 18 603 0.6× 175 0.3× 256 0.8× 79 0.7× 287 3.4× 45 875
Mona Norberg Sweden 12 640 0.6× 126 0.2× 280 0.9× 58 0.5× 99 1.2× 31 768
HP Schlemmer Germany 13 609 0.6× 644 1.1× 92 0.3× 82 0.7× 53 0.6× 61 994

Countries citing papers authored by Dagane Daar

Since Specialization
Citations

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

Fields of papers citing papers by Dagane Daar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dagane Daar

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

All Works

16 of 16 papers shown
1.
Kato, Takuya, Ryuhei Okada, Aki Furusawa, et al.. (2021). Electron Donors Rather Than Reactive Oxygen Species Needed for Therapeutic Photochemical Reaction of Near-Infrared Photoimmunotherapy. ACS Pharmacology & Translational Science. 4(5). 1689–1701. 21 indexed citations
2.
Nakamura, Yuko, Zoë Weaver Ohler, Deborah B. Householder, et al.. (2016). Near Infrared Photoimmunotherapy in a Transgenic Mouse Model of Spontaneous Epidermal Growth Factor Receptor (EGFR)-expressing Lung Cancer. Molecular Cancer Therapeutics. 16(2). 408–414. 31 indexed citations
3.
Freidlin, Raisa Z., Harsh Agarwal, Sandeep Sankineni, et al.. (2016). Application of an unsupervised multi-characteristic framework for intermediate-high risk prostate cancer localization using diffusion-weighted MRI. Magnetic Resonance Imaging. 34(9). 1227–1234. 4 indexed citations
4.
Agarwal, Harsh, Francesca Mertan, Sandeep Sankineni, et al.. (2016). Optimal high b-value for diffusion weighted MRI in diagnosing high risk prostate cancers in the peripheral zone. Journal of Magnetic Resonance Imaging. 45(1). 125–131. 38 indexed citations
5.
Kabakus, Ismail, Samuel Borofsky, Francesca Mertan, et al.. (2016). Does Abstinence From Ejaculation Before Prostate MRI Improve Evaluation of the Seminal Vesicles?. American Journal of Roentgenology. 207(6). 1205–1209. 23 indexed citations
6.
Türkbey, Barış, Harsh Agarwal, Joanna H. Shih, et al.. (2015). A Phase I Dosing Study of Ferumoxytol for MR Lymphography at 3 T in Patients With Prostate Cancer. American Journal of Roentgenology. 205(1). 64–69. 55 indexed citations
7.
Brown, Anna M., Sandeep Sankineni, Marcelino Bernardo, et al.. (2015). Ferumoxytol enhanced MRI for lymph node staging in prostate cancer.. Journal of Clinical Oncology. 33(7_suppl). 208–208. 2 indexed citations
8.
Agarwal, Harsh, Joanna H. Shih, Marcelino Bernardo, et al.. (2014). Comparison of calculated and acquired high b value diffusion-weighted imaging in prostate cancer. Abdominal Imaging. 40(3). 578–586. 51 indexed citations
9.
Shebel, Haytham, Sandeep Sankineni, Marcelino Bernardo, et al.. (2014). Whole Prostate Volume and Shape Changes with the Use of an Inflatable and Flexible Endorectal Coil. Radiology Research and Practice. 2014. 1–6. 9 indexed citations
10.
Türkbey, Barış, Haresh Mani, Ömer Aras, et al.. (2013). Prostate Cancer: Can Multiparametric MR Imaging Help Identify Patients Who Are Candidates for Active Surveillance?. Radiology. 268(1). 144–152. 177 indexed citations
11.
Türkbey, Barış, Sergei V. Fotin, Robert J. Huang, et al.. (2013). Fully Automated Prostate Segmentation on MRI: Comparison With Manual Segmentation Methods and Specimen Volumes. American Journal of Roentgenology. 201(5). W720–W729. 51 indexed citations
12.
Türkbey, Barış, Maria J. Merino, Vijay Shah, et al.. (2013). Comparison of endorectal coil and nonendorectal coil T2W and diffusion-weighted MRI at 3 Tesla for localizing prostate cancer: Correlation with whole-mount histopathology. Journal of Magnetic Resonance Imaging. 39(6). 1443–1448. 137 indexed citations
13.
Mena, Esther, Barış Türkbey, Haresh Mani, et al.. (2012). 11C-Acetate PET/CT in Localized Prostate Cancer: A Study with MRI and Histopathologic Correlation. Journal of Nuclear Medicine. 53(4). 538–545. 88 indexed citations
14.
Türkbey, Barış, Haresh Mani, Ömer Aras, et al.. (2012). Correlation of Magnetic Resonance Imaging Tumor Volume with Histopathology. The Journal of Urology. 188(4). 1157–1163. 164 indexed citations
15.
Daar, Dagane, et al.. (2011). Prostate multiparameter MR imaging.. PubMed. 82(6). 563MR–8MR. 2 indexed citations
16.
Türkbey, Barış, Haresh Mani, Vijay Shah, et al.. (2011). Multiparametric 3T Prostate Magnetic Resonance Imaging to Detect Cancer: Histopathological Correlation Using Prostatectomy Specimens Processed in Customized Magnetic Resonance Imaging Based Molds. The Journal of Urology. 186(5). 1818–1824. 383 indexed citations breakdown →

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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