Didier Blocklet

34 papers receiving 772 citations

Peers

Didier Blocklet
Comparison fields: 5 of 78
  • Nephrology 75
  • Genetics 99
  • Emergency Medicine 66
  • Surgery 283
  • Immunology 130
Replace Patricia Ewalenko with:
Patricia Ewalenko Belgium
Diana S. Beardsley United States
John D. Grizzard United States
Narendranath Epperla United States
Beyhan Demirhan Türkiye
Dominique Baruch France
Vincent Hayes United States
Felix Keil Austria
G Ben-Ari Israel
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Citations per field
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Citations per year

Countries citing papers authored by Didier Blocklet

Since Specialization
Citations

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

Fields of papers citing papers by Didier Blocklet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Imaging infection with 18F-FDG-labeled leukocyte PET/CT: initial experience in 21 patients.
2006115
2 200582
3 200266
4 200347
5 200547
6 200943
7 200834
8 201530
9 200929
10 200329
11 200727
12
Maximum-likelihood reconstruction with ordered subsets in bone SPECT.
199925
13 200120
14 200720
15 199719
16 200619
17 200418
18 200818
19 200817
20 201116

About Didier Blocklet

Didier Blocklet is a scholar working on Oncology, Surgery, Pulmonary and Respiratory Medicine, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 35 papers that have together received 795 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), Medical Imaging and Pathology Studies (5 papers), Parathyroid Disorders and Treatments (5 papers), T-cell and B-cell Immunology (4 papers), Mesenchymal stem cell research (3 papers), Medical Imaging Techniques and Applications (3 papers), Bone health and treatments (3 papers) and Neuroendocrine Tumor Research Advances (3 papers). The work is most often cited by research in Nephrology (75 citations), Genetics (99 citations), Emergency Medicine (66 citations), Surgery (283 citations) and Immunology (130 citations). Didier Blocklet has collaborated with scholars based in Belgium, Netherlands and United States. Frequent co-authors include Serge Goldman, Dominique Egrise, André Schoutens, Nicolas Dumarey, Michel Toungouz, M. Lambermont, Gaëtan Van Simaeys, Michel Goldman, V. del Mármol and Frédérique Jacobs. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, European Journal of Pharmaceutics and Biopharmaceutics, Cancer Immunology Immunotherapy, Stem Cells and Medicine.

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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