Entesar Z. Dalah

523 total citations
44 papers, 373 citations indexed

About

Entesar Z. Dalah is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Oncology. According to data from OpenAlex, Entesar Z. Dalah has authored 44 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Radiology, Nuclear Medicine and Imaging, 18 papers in Biomedical Engineering and 8 papers in Oncology. Recurrent topics in Entesar Z. Dalah's work include Radiation Dose and Imaging (19 papers), Advanced X-ray and CT Imaging (18 papers) and Medical Imaging Techniques and Applications (14 papers). Entesar Z. Dalah is often cited by papers focused on Radiation Dose and Imaging (19 papers), Advanced X-ray and CT Imaging (18 papers) and Medical Imaging Techniques and Applications (14 papers). Entesar Z. Dalah collaborates with scholars based in United Arab Emirates, United Kingdom and United States. Entesar Z. Dalah's co-authors include Bradley A. Erickson, X. Allen Li, E.S. Paulson, D.A. Bradley, William A. Hall, A. Tai, A. Nisbet, Kiyoko Oshima, Osama Hamdy and Hadia Radwan and has published in prestigious journals such as PLoS ONE, Chemosphere and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Entesar Z. Dalah

40 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Entesar Z. Dalah United Arab Emirates 10 232 76 76 67 66 44 373
Bengt Hemdal Sweden 13 340 1.5× 48 0.6× 155 2.0× 323 4.8× 68 1.0× 27 542
Julie van der Veen Belgium 9 200 0.9× 27 0.4× 73 1.0× 97 1.4× 184 2.8× 13 424
Tianwu Xie Switzerland 14 322 1.4× 24 0.3× 98 1.3× 126 1.9× 126 1.9× 51 390
Sasikarn Chamchod Thailand 6 79 0.3× 61 0.8× 21 0.3× 64 1.0× 24 0.4× 11 307
Philip Whitehurst United Kingdom 11 221 1.0× 37 0.5× 52 0.7× 212 3.2× 240 3.6× 21 441
Christian Bracco Italy 9 243 1.0× 76 1.0× 48 0.6× 87 1.3× 46 0.7× 26 334
Silvia Strolin Italy 9 218 0.9× 81 1.1× 64 0.8× 129 1.9× 118 1.8× 29 362
Peter Kenny United States 11 140 0.6× 39 0.5× 21 0.3× 92 1.4× 29 0.4× 43 337
Emilio Mezzenga Italy 10 259 1.1× 119 1.6× 43 0.6× 122 1.8× 101 1.5× 38 404
Matthew M. Mille United States 11 219 0.9× 20 0.3× 102 1.3× 147 2.2× 183 2.8× 34 317

Countries citing papers authored by Entesar Z. Dalah

Since Specialization
Citations

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

Fields of papers citing papers by Entesar Z. Dalah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Entesar Z. Dalah. 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 Entesar Z. Dalah. The network helps show where Entesar Z. Dalah may publish in the future.

Co-authorship network of co-authors of Entesar Z. Dalah

This figure shows the co-authorship network connecting the top 25 collaborators of Entesar Z. Dalah. A scholar is included among the top collaborators of Entesar Z. Dalah 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 Entesar Z. Dalah. Entesar Z. Dalah 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.
Dalah, Entesar Z., et al.. (2025). Typical and Local Diagnostic Reference Levels for Chest and Abdomen Radiography Examinations in Dubai Health Sector. Journal of Imaging. 11(1). 21–21. 1 indexed citations
3.
Dalah, Entesar Z., et al.. (2024). Impact of head CT organ dose modulation on lens dose and image quality. Radiation Physics and Chemistry. 223. 111895–111895. 1 indexed citations
4.
Dalah, Entesar Z. & D.A. Bradley. (2024). Clinical and technical challenges associated with CT dose optimization in practice. Radiation Physics and Chemistry. 223. 111903–111903. 1 indexed citations
5.
Dalah, Entesar Z., et al.. (2024). Screening Mammography Diagnostic Reference Level System According to Compressed Breast Thickness: Dubai Health. Journal of Imaging. 10(8). 188–188. 4 indexed citations
6.
Dhou, Salam, et al.. (2024). Investigating the Effect of Patient-Related Factors on Computed Tomography Radiation Dose Using Regression and Correlation Analysis. Applied Sciences. 14(3). 1071–1071. 3 indexed citations
7.
Dalah, Entesar Z. & D.A. Bradley. (2023). Protocols-based notification versus diagnostic reference levels as an optimization tool in computed tomography. Radiation Physics and Chemistry. 209. 110948–110948. 2 indexed citations
8.
Dalah, Entesar Z., et al.. (2022). Gender based lung cancer risks for symptomatic coronary artery disease patients undergone cardiac CT. PLoS ONE. 17(4). e0265609–e0265609.
10.
Dalah, Entesar Z., et al.. (2021). Challenges estimating patient organs doses undergoing enhanced chest CT examination: exploratory study. Biomedical Physics & Engineering Express. 7(2). 25019–25019. 3 indexed citations
11.
Dalah, Entesar Z., et al.. (2021). Challenges experienced in establishing clinical indication based diagnostic reference levels: Pilot study. European Journal of Radiology. 148. 110046–110046. 8 indexed citations
13.
Faris, MoezAlIslam E., Mohamed Madkour, Entesar Z. Dalah, et al.. (2019). Effect of Ramadan diurnal fasting on visceral adiposity and serum adipokines in overweight and obese individuals. Diabetes Research and Clinical Practice. 153. 166–175. 64 indexed citations
14.
Dalah, Entesar Z., A. Tai, Kiyoko Oshima, et al.. (2018). PET-based Treatment Response Assessment for Neoadjuvant Chemoradiation in Pancreatic Adenocarcinoma: An Exploratory Study. Translational Oncology. 11(5). 1104–1109. 17 indexed citations
15.
Paul, Jijo, Hui Wu, A. Tai, et al.. (2017). Early Assessment of Treatment Responses During Radiation Therapy for Lung Cancer Using Quantitative Analysis of Daily Computed Tomography. International Journal of Radiation Oncology*Biology*Physics. 98(2). 463–472. 17 indexed citations
16.
Heerkens, H.D., William A. Hall, Paul Knechtges, et al.. (2016). Recommendations for MRI-based contouring of gross tumor volume and organs at risk for radiation therapy of pancreatic cancer. Practical Radiation Oncology. 7(2). 126–136. 41 indexed citations
17.
Dalah, Entesar Z., A. Tai, Kiyoko Oshima, et al.. (2015). SU‐E‐J‐271: Correlation of CT Number Change with Radiation Treatment Response for Pancreatic Cancer. Medical Physics. 42(6Part11). 3329–3329. 1 indexed citations
18.
Dalah, Entesar Z., et al.. (2014). Variability of Target and Normal Structure Delineation Using Multimodality Imaging for Radiation Therapy of Pancreatic Cancer. International Journal of Radiation Oncology*Biology*Physics. 89(3). 633–640. 31 indexed citations
19.
Dalah, Entesar Z., A. Nisbet, & D.A. Bradley. (2009). Effect of window level on target volume delineation in treatment planning. Applied Radiation and Isotopes. 68(4-5). 602–604. 6 indexed citations
20.
Dalah, Entesar Z., A. Nisbet, Stephanie Reise, & D.A. Bradley. (2008). Evaluating commercial image registration packages for radiotherapy treatment planning. Applied Radiation and Isotopes. 66(12). 1948–1953. 6 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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