Thu Ha Dao

583 citations
17 papers · 386 indexed · h-index 10
Topics
Breast Implant and Reconstruction (5 papers)Reconstructive Surgery and Microvascular Techniques (4 papers)Breast Lesions and Carcinomas (3 papers)
Partner nations
FranceSwitzerlandChina

In The Last Decade

Thu Ha Dao

16 papers receiving 375 citations

Peers

Thu Ha Dao
Comparison fields: 5 of 42
  • Radiology, Nuclear Medicine and Imaging 188
  • Pathology and Forensic Medicine 148
  • Cancer Research 128
  • Surgery 91
  • Oncology 60
Replace Koya Nakatani with:
Koya Nakatani Japan
Johan C. van Mourik Netherlands
A.-J. Lemke Germany
Jong-Ryool Oh South Korea
C. Stroszczynski Germany
Fabio Zugni Italy
Monica Shukla United States
Ivan Ho Shon Australia
Junlai Li China
Heather Lin United States
Thu Ha Dao relative to Koya Nakatani Japan Koya Nakatani's profile →
Citations per field
00.5×4.5×
Koya Nakatani · 1×
Citations per year

Countries citing papers authored by Thu Ha Dao

Since Specialization
Citations

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

Fields of papers citing papers by Thu Ha Dao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thu Ha Dao. 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 Thu Ha Dao. The network helps show where Thu Ha Dao may publish in the future.

Co-authorship network of co-authors of Thu Ha Dao

This figure shows the co-authorship network connecting the top 25 collaborators of Thu Ha Dao. A scholar is included among the top collaborators of Thu Ha Dao 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 Thu Ha Dao. Thu Ha Dao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
#WorkIndexed citations
1 2
2 0
3 9
4 2
5 12
6 1
7 10
8 10
9 47
10 14
11 2
12 44
13 85
14 127
15 1
16 19
17
[Infiltrating hematoma of the hepatic pedicle and gallbladder wall. Ultrasonographic and x-ray computed tomographic aspects].
1

About Thu Ha Dao

Thu Ha Dao is a scholar working on Radiology, Nuclear Medicine and Imaging, Cancer Research and Pathology and Forensic Medicine, having authored 17 papers that have together received 386 indexed citations. Recurring topics across this work include Breast Implant and Reconstruction (5 papers), Reconstructive Surgery and Microvascular Techniques (4 papers) and Breast Lesions and Carcinomas (3 papers). The work is most often cited by research in Cancer Research (128 citations), Pathology and Forensic Medicine (148 citations) and Radiology, Nuclear Medicine and Imaging (188 citations). Thu Ha Dao has collaborated with scholars based in France, Switzerland and China. Frequent co-authors include Alain Rahmouni, F. Campana, B Asselain, Marie‐Christine Laurent, Alain Fourquet, N Vasile, F Reyes, Didier Mathieu, M. Golli and Alain Luciani. Their work appears in journals such as Journal of Clinical Oncology, Radiology 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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