Dan Tolédano

1.1k citations
14 papers · 888 · h-index 10

Impact in

Papers in

Dan Tolédano

14 papers receiving 857 citations

Peers

Dan Tolédano
Comparison fields: 5 of 35
  • Physiology 449
  • Pulmonary and Respiratory Medicine 333
  • Radiology, Nuclear Medicine and Imaging 28
  • Cardiology and Cardiovascular Medicine 27
  • Microbiology 1
Replace Michio Shigematsu with:
Michio Shigematsu Japan
Roy S. Reeve United Kingdom
Ziv Gamliel United States
K.-M. Kim South Korea
Ruth G.M. Keijsers Netherlands
Marc F. Glickstein United States
Maria Nicastro Italy
Urs Borner Switzerland
Masami Yasuda Japan
Wuying Cheng China
Dan Tolédano relative to Michio Shigematsu Japan Michio Shigematsu's profile →
Citations per field
00.5×2×3.1×
Michio Shigematsu · 1×
Citations per year

Countries citing papers authored by Dan Tolédano

Since Specialization
Citations

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

Fields of papers citing papers by Dan Tolédano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dan Tolédano, 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 Dan Tolédano Line = papers co-authored together Dan Tolédano links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 2014237
2 2009137
3 2010118
4 2009115
5 200986
6 201068
7 201137
8 201332
9 202226
10 201213
11
Usefulness of computed tomography scanning in the diagnosis of aortic prosthetic valve pannus.
20107
12 20117
13 20143
14
全身性原発性血管炎の胸部への影響: 放射線学的パターン・追跡
20142

About Dan Tolédano

Dan Tolédano is a scholar working on Pulmonary and Respiratory Medicine, Physiology, Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition, having authored 14 papers that have together received 888 indexed citations. Recurring topics across this work include Vasculitis and related conditions (5 papers), Histiocytic Disorders and Treatments (4 papers), Cardiac Imaging and Diagnostics (2 papers), Cardiac Valve Diseases and Treatments (1 paper), Cardiac tumors and thrombi (1 paper), Advanced MRI Techniques and Applications (1 paper), Inflammatory Myopathies and Dermatomyositis (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Physiology (449 citations), Pulmonary and Respiratory Medicine (333 citations), Radiology, Nuclear Medicine and Imaging (28 citations), Cardiology and Cardiovascular Medicine (27 citations) and Microbiology (1 citation). Dan Tolédano has collaborated with scholars based in France. Frequent co-authors include Philippe Cluzel, Zahir Amoura, Julien Haroche, J.C. Pietté, Philippe Greniér, Laurent Arnaud, P. Cacoub, Nathalie Costedoat-Chalumeau, Laëtitia Gambotti and F. Archambaud. Their work appears in journals such as European Radiology, The Annals of Thoracic Surgery, Journal of Clinical Oncology, The American Journal of Cardiology and Circulation.

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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