Daniel Létourneau

73 papers receiving 3.1k citations

Peers

Daniel Létourneau
Comparison fields: 5 of 44
  • Radiation 1.6k
  • Surgery 1.1k
  • Medical Laboratory Technology 3
  • Pulmonary and Respiratory Medicine 127
  • Obstetrics and Gynecology 35
Replace Shirish K. Jani with:
Shirish K. Jani United States
Michael Lovelock United States
Haruo Matsushita Japan
Rei Umezawa Japan
James N. Yang United States
Philippe Nouet Switzerland
Jinyu Xue United States
Jiho Nam South Korea
Panayiotis Mavroidis United States
Ludvig Paul Muren Denmark
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Citations per field
00.5×2×4×6×8.8×
Shirish K. Jani · 1×
Citations per year

Countries citing papers authored by Daniel Létourneau

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Létourneau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004230
2 2010220
3 2012210
4 2012208
5 2005201
6 2005199
7 2010166
8 2013154
9 2005152
10 2014147
11 2009109
12 2021106
13 201295
14 201591
15 201186
16 199984
17 201681
18 200775
19 201060
20 200959

About Daniel Létourneau

Daniel Létourneau is a scholar working on Radiation, Surgery, Medical Laboratory Technology, Emergency Medical Services and Health Information Management, having authored 76 papers that have together received 3.3k indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (46 papers), Management of metastatic bone disease (15 papers), Electronic Health Records Systems (1 paper), Medical Image Segmentation Techniques (1 paper), Quality and Safety in Healthcare (1 paper), Radiation Therapy and Dosimetry (1 paper), Endometrial and Cervical Cancer Treatments (1 paper) and Radiation Dose and Imaging (1 paper). The work is most often cited by research in Radiation (1.6k citations), Surgery (1.1k citations), Medical Laboratory Technology (3 citations), Pulmonary and Respiratory Medicine (127 citations) and Obstetrics and Gynecology (35 citations). Daniel Létourneau has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Arjun Sahgal, Mark A. Oldham, David A. Jaffray, John W. Wong, Di Yan, Misbah Gulam, Alvaro A. Martinez, Michael George Fehlings, Eugene Yu and Lijun Ma. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Medical Physics, Radiotherapy and Oncology, Technology in Cancer Research & Treatment and Journal of Applied Clinical Medical 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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