David Guez

5.0k total citations
100 papers, 1.8k citations indexed

About

David Guez is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, David Guez has authored 100 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cardiology and Cardiovascular Medicine, 15 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Molecular Biology. Recurrent topics in David Guez's work include Blood Pressure and Hypertension Studies (15 papers), Glioma Diagnosis and Treatment (10 papers) and MRI in cancer diagnosis (9 papers). David Guez is often cited by papers focused on Blood Pressure and Hypertension Studies (15 papers), Glioma Diagnosis and Treatment (10 papers) and MRI in cancer diagnosis (9 papers). David Guez collaborates with scholars based in France, Israel and United States. David Guez's co-authors include Pierre Schiavi, David Last, Yael Mardor, Dianne Daniels, Shirley Sharabi, Guillaume De Nanteuil, Philippe Morain, Roeline Jochemsen, Sharona Salomon and Michel E. Safar and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Scientific Reports.

In The Last Decade

David Guez

99 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Guez France 27 494 389 319 265 234 100 1.8k
Yanling Zhang China 27 338 0.7× 694 1.8× 182 0.6× 347 1.3× 176 0.8× 161 2.5k
Keiji Miyata Japan 28 158 0.3× 691 1.8× 237 0.7× 151 0.6× 306 1.3× 139 2.5k
Uliano Guerrini Italy 29 368 0.7× 1.1k 2.7× 93 0.3× 152 0.6× 286 1.2× 63 2.5k
Jean N. DaSilva Canada 26 587 1.2× 587 1.5× 118 0.4× 104 0.4× 354 1.5× 114 2.2k
Dmitriy N. Atochin United States 30 266 0.5× 864 2.2× 852 2.7× 138 0.5× 252 1.1× 84 3.4k
M. Monti Sweden 25 626 1.3× 828 2.1× 90 0.3× 311 1.2× 85 0.4× 101 2.2k
Liqun Wang China 29 227 0.5× 982 2.5× 137 0.4× 152 0.6× 212 0.9× 99 2.6k
Osamu Nakagawa Japan 29 1.1k 2.3× 1.6k 4.2× 145 0.5× 230 0.9× 175 0.7× 130 3.5k
Anna Basile Italy 28 636 1.3× 723 1.9× 65 0.2× 123 0.5× 115 0.5× 70 3.3k
Kazuo Yamada Japan 27 546 1.1× 591 1.5× 72 0.2× 208 0.8× 213 0.9× 125 2.5k

Countries citing papers authored by David Guez

Since Specialization
Citations

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

Fields of papers citing papers by David Guez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Guez

This figure shows the co-authorship network connecting the top 25 collaborators of David Guez. A scholar is included among the top collaborators of David Guez 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 David Guez. David Guez 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.
Weitman, Michal, Arik Eisenkraft, Zeev Tashma, et al.. (2022). Synthesis and preliminary biological evaluation of gabactyzine, a benactyzine-GABA mutual prodrug, as an organophosphate antidote. Scientific Reports. 12(1). 18078–18078. 2 indexed citations
2.
Kadji, Caroline, et al.. (2018). Magnetic resonance imaging for prenatal estimation of birthweight in pregnancy: review of available data, techniques, and future perspectives. American Journal of Obstetrics and Gynecology. 220(5). 428–439. 17 indexed citations
3.
Guez, David, David Last, Dianne Daniels, et al.. (2018). Radiation-induced vascular malformations in the brain, mimicking tumor in MRI-based treatment response assessment maps (TRAMs). Clinical and Translational Radiation Oncology. 15. 1–6. 9 indexed citations
4.
Guez, David, David Last, Etty Grad, et al.. (2017). Liposomal temozolomide drug delivery using convection enhanced delivery. Journal of Controlled Release. 261. 138–146. 71 indexed citations
5.
Daniels, Dianne, David Guez, David Last, et al.. (2016). Early Biomarkers from Conventional and Delayed-Contrast MRI to Predict the Response to Bevacizumab in Recurrent High-Grade Gliomas. American Journal of Neuroradiology. 37(11). 2003–2009. 19 indexed citations
6.
Sharabi, Shirley, David Last, David Guez, et al.. (2014). Dynamic effects of point source electroporation on the rat brain tissue. Bioelectrochemistry. 99. 30–39. 20 indexed citations
7.
Hjouj, Mohammad, Jacob Lavee, David Last, et al.. (2013). The Effect of Blood Flow on Magnetic Resonance Imaging of Non Thermal Irreversible Electroporation. Scientific Reports. 3(1). 3088–3088. 9 indexed citations
8.
Hjouj, Mohammad, David Last, David Guez, et al.. (2012). MRI Study on Reversible and Irreversible Electroporation Induced Blood Brain Barrier Disruption. PLoS ONE. 7(8). e42817–e42817. 72 indexed citations
9.
Zach, Leor, David Guez, David Last, et al.. (2012). Delayed Contrast Extravasation MRI for Depicting Tumor and Non-Tumoral Tissues in Primary and Metastatic Brain Tumors. PLoS ONE. 7(12). e52008–e52008. 34 indexed citations
10.
Girard, Pascal, Michel Cucherat, David Guez, et al.. (2004). Simulation des essais cliniques dans le développement des médicaments. Therapies. 59(3). 287–295. 10 indexed citations
11.
Girard, Pascal, Michel Cucherat, David Guez, et al.. (2004). Clinical Trial Simulation in Drug Development. Therapies. 59(3). 297–304. 12 indexed citations
13.
Pézard, Laurent, et al.. (1998). Entropy maps characterize drug effects on brain dynamics in Alzheimer's disease. Neuroscience Letters. 253(1). 5–8. 21 indexed citations
14.
Matrougui, Khalid, Bernard Lévy, Pierre Schiavi, David Guez, & Daniel Henrion. (1998). Indapamide improves flow-induced dilation in hypertensive rats with a high salt intake. Journal of Hypertension. 16(10). 1485–1490. 11 indexed citations
15.
Lévy, Bernard, Pierre Poitevin, Micheline Duriez, et al.. (1997). Sodium, survival, and the mechanical properties of the carotid artery in stroke-prone hypertensive rats. Journal of Hypertension. 15(3). 251–258. 30 indexed citations
16.
Doucet, J., Vincent Richard, Manuela Hogie, et al.. (1996). Renal effects of combined treatment with low doses of the angiotensin converting enzyme inhibitor perindopril and the diuretic/vasodilator indapamide in spontaneously hypertensive rats.. Fundamental and Clinical Pharmacology. 2(10). 186. 3 indexed citations
17.
Bouché, P., et al.. (1993). Clinical and electrophysiological study of the peripheral nervous system in the elderly. Journal of Neurology. 240(5). 263–268. 87 indexed citations
18.
Allain, H., et al.. (1991). Mechanistic Basis for the Development of Anti-Ischemic Drugs. Cerebrovascular Diseases. 1(1). 83–92. 5 indexed citations
19.
Sebban, C., et al.. (1990). A Review of the EEG Effects of the Combination of Almitrine and Raubasine in Animals and Humans. Clinical Neuropharmacology. 13. S50–S58. 1 indexed citations
20.
Komajda, Michel, et al.. (1990). Effects of indapamide on left ventricular mass and function in systemic hypertension with left ventricular hypertrophy. The American Journal of Cardiology. 65(17). H37–H42. 16 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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