Donnette Dabydeen

1.1k total citations
16 papers, 850 citations indexed

About

Donnette Dabydeen is a scholar working on Radiology, Nuclear Medicine and Imaging, Mechanics of Materials and Physiology. According to data from OpenAlex, Donnette Dabydeen has authored 16 papers receiving a total of 850 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Radiology, Nuclear Medicine and Imaging, 7 papers in Mechanics of Materials and 7 papers in Physiology. Recurrent topics in Donnette Dabydeen's work include Infrared Thermography in Medicine (9 papers), Thermography and Photoacoustic Techniques (7 papers) and Thermoregulation and physiological responses (7 papers). Donnette Dabydeen is often cited by papers focused on Infrared Thermography in Medicine (9 papers), Thermography and Photoacoustic Techniques (7 papers) and Thermoregulation and physiological responses (7 papers). Donnette Dabydeen collaborates with scholars based in United States, Israel and United Kingdom. Donnette Dabydeen's co-authors include Pradyumna D. Phatak, Lori Medeiros, Satish G. Kandlikar, Jose-Luis Gonzalez-Hernandez, Isaac Perez‐Raya, Pruthvik A. Raghupathi, Kenneth Walsh, Carole Perruzzi, David M. Briscoe and Laura E. Benjamin and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Cell and Cancer Research.

In The Last Decade

Donnette Dabydeen

16 papers receiving 829 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donnette Dabydeen United States 10 324 260 179 163 145 16 850
Diana Martins Portugal 17 434 1.3× 226 0.9× 124 0.7× 405 2.5× 146 1.0× 57 1.2k
Nobuko Kawaguchi‐Sakita Japan 10 164 0.5× 178 0.7× 78 0.4× 159 1.0× 29 0.2× 20 595
Takayuki Kadoya Japan 21 646 2.0× 431 1.7× 70 0.4× 457 2.8× 53 0.4× 101 1.9k
Hong Lu China 18 257 0.8× 286 1.1× 18 0.1× 204 1.3× 88 0.6× 63 910
Alastair Thompson United Kingdom 11 300 0.9× 636 2.4× 195 1.1× 252 1.5× 11 0.1× 26 1.1k
H.-J. Sommerfeld Germany 8 178 0.5× 140 0.5× 39 0.2× 56 0.3× 274 1.9× 25 617
Young San Ko South Korea 18 410 1.3× 67 0.3× 78 0.4× 220 1.3× 13 0.1× 40 1000
Radovan Jiřík Czechia 11 268 0.8× 294 1.1× 26 0.1× 111 0.7× 9 0.1× 53 934
Deyali Chatterjee United States 23 366 1.1× 162 0.6× 46 0.3× 1.3k 8.0× 60 0.4× 89 2.0k
Qinghua Cao China 19 444 1.4× 163 0.6× 8 0.0× 268 1.6× 54 0.4× 71 1.2k

Countries citing papers authored by Donnette Dabydeen

Since Specialization
Citations

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

Fields of papers citing papers by Donnette Dabydeen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donnette Dabydeen

This figure shows the co-authorship network connecting the top 25 collaborators of Donnette Dabydeen. A scholar is included among the top collaborators of Donnette Dabydeen 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 Donnette Dabydeen. Donnette Dabydeen 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.
Perez‐Raya, Isaac, Jose-Luis Gonzalez-Hernandez, Donnette Dabydeen, et al.. (2024). Abstract PO1-07-12: Inverse modeling with surface temperature accurately detects the presence of breast cancer. Cancer Research. 84(9_Supplement). PO1–7. 1 indexed citations
2.
Medeiros, Lori, et al.. (2024). Breast cancer detection using enhanced IRI-numerical engine and inverse heat transfer modeling: model description and clinical validation. Scientific Reports. 14(1). 3316–3316. 7 indexed citations
3.
Perez‐Raya, Isaac, Jose-Luis Gonzalez-Hernandez, Donnette Dabydeen, et al.. (2024). Breast Cancer Screening Using Inverse Modeling of Surface Temperatures and Steady-State Thermal Imaging. Cancers. 16(12). 2264–2264. 5 indexed citations
4.
Gonzalez-Hernandez, Jose-Luis, et al.. (2020). An inverse heat transfer approach for patient-specific breast cancer detection and tumor localization using surface thermal images in the prone position. Infrared Physics & Technology. 105. 103202–103202. 23 indexed citations
5.
6.
Gonzalez-Hernandez, Jose-Luis, et al.. (2019). Clinical Infrared Imaging in the Prone Position for Breast Cancer Screening—Initial Screening and Digital Model Validation. Journal of Engineering and Science in Medical Diagnostics and Therapy. 3(1). 11 indexed citations
7.
Gonzalez-Hernandez, Jose-Luis, Satish G. Kandlikar, Donnette Dabydeen, Lori Medeiros, & Pradyumna D. Phatak. (2018). Generation and Thermal Simulation of a Digital Model of the Female Breast in Prone Position. Journal of Engineering and Science in Medical Diagnostics and Therapy. 1(4). 10 indexed citations
8.
Gonzalez-Hernandez, Jose-Luis, et al.. (2018). Technology, application and potential of dynamic breast thermography for the detection of breast cancer. International Journal of Heat and Mass Transfer. 131. 558–573. 80 indexed citations
9.
Kandlikar, Satish G., Isaac Perez‐Raya, Pruthvik A. Raghupathi, et al.. (2017). Infrared imaging technology for breast cancer detection – Current status, protocols and new directions. International Journal of Heat and Mass Transfer. 108. 2303–2320. 152 indexed citations
10.
Jayender, Jagadeesan, Eva C. Gombos, Sona A. Chikarmane, et al.. (2013). Statistical Learning Algorithm for in situ and invasive breast carcinoma segmentation. Computerized Medical Imaging and Graphics. 37(4). 281–292. 4 indexed citations
11.
Dabydeen, Donnette, Jyothi P. Jagannathan, Nikhil H. Ramaiya, et al.. (2012). Pneumonitis associated with mTOR inhibitors therapy in patients with metastatic renal cell carcinoma: Incidence, radiographic findings and correlation with clinical outcome. European Journal of Cancer. 48(10). 1519–1524. 76 indexed citations
12.
Dabydeen, Donnette, Jyothi P. Jagannathan, Nikhil H. Ramaiya, et al.. (2011). Pneumonitis associated with mTOR therapy in patients with metastatic renal cell carcinoma: Incidence, radiographic findings, and correlation with clinical outcome.. Journal of Clinical Oncology. 29(15_suppl). e15176–e15176. 5 indexed citations
13.
Dabydeen, Donnette, et al.. (2008). Congenital Absence of the Right Common Iliac Artery. Radiology Case Reports. 3(1). 47–47. 11 indexed citations
14.
Phung, Thuy L., Keren Ziv, Donnette Dabydeen, et al.. (2006). Pathological angiogenesis is induced by sustained Akt signaling and inhibited by rapamycin. Cancer Cell. 10(2). 159–170. 356 indexed citations
15.
Dabydeen, Donnette, James C. Burnett, Ruoli Bai, et al.. (2006). Comparison of the Activities of the Truncated Halichondrin B Analog NSC 707389 (E7389) with Those of the Parent Compound and a Proposed Binding Site on Tubulin. Molecular Pharmacology. 70(6). 1866–1875. 90 indexed citations
16.
Dabydeen, Donnette, Gordon J. Florence, Ian Paterson, & Ernest Hamel. (2004). A quantitative evaluation of the effects of inhibitors of tubulin assembly on polymerization induced by discodermolide, epothilone B, and paclitaxel. Cancer Chemotherapy and Pharmacology. 53(5). 397–403. 18 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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