David Guez

99 papers receiving 1.8k citations

Peers

David Guez
Comparison fields: 5 of 135
  • Cardiology and Cardiovascular Medicine 411
  • Biotechnology 114
  • Endocrinology, Diabetes and Metabolism 198
  • Cellular and Molecular Neuroscience 223
  • Neurology 97
Replace Yanling Zhang with:
Yanling Zhang China
Akira Masuda Japan
John Hilton United States
Jing Ai China
Jean‐Paul Boissel France
Santi Spampinato Italy
Dmitriy N. Atochin United States
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David Guez relative to Yanling Zhang China Yanling Zhang's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside David Guez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David Guez Line = papers co-authored together David Guez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200290
2 199387
3 201773
4 201272
5 199368
6 201155
7 199853
8 200449
9 201845
10 200042
11 201941
12 200038
13 201936
14 201835
15 201135
16 200034
17 200034
18 201234
19 199531
20 199631

About David Guez

David Guez is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Genetics and Cellular and Molecular Neuroscience, having authored 100 papers that have together received 1.9k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (14 papers), Glioma Diagnosis and Treatment (10 papers), MRI in cancer diagnosis (8 papers), Hormonal Regulation and Hypertension (7 papers), Microbial Inactivation Methods (6 papers), Microfluidic and Bio-sensing Technologies (5 papers), Advanced MRI Techniques and Applications (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (411 citations), Biotechnology (114 citations), Endocrinology, Diabetes and Metabolism (198 citations), Cellular and Molecular Neuroscience (223 citations) and Neurology (97 citations). David Guez has collaborated with scholars based in France, Israel and United States. Frequent co-authors include Pierre Schiavi, Yael Mardor, David Last, Dianne Daniels, Shirley Sharabi, Philippe Morain, Guillaume De Nanteuil, Roeline Jochemsen, Sharona Salomon and Michel E. Safar. Their work appears in journals such as Journal of Cardiovascular Pharmacology, Journal of Hypertension, Hypertension, The American Journal of Cardiology and International Journal of Radiation Oncology*Biology*Physics.

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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