Didier Blocklet

35 papers receiving 818 citations

Peers

Didier Blocklet
Comparison fields: 5 of 73
  • Nephrology 81
  • Genetics 95
  • Emergency Medicine 56
  • Surgery 265
  • Immunology 126
Replace S. Potamianos with:
S. Potamianos Greece
Luc Darnige France
Diana S. Beardsley United States
Cem Mat Türkiye
Vincent Young Ireland
Binod Dhakal United States
Katsuhiro Takano Japan
Judith Behrens United Kingdom
Narendranath Epperla United States
Jonathan P. Kerr United Kingdom
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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 36 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.
2006129
2 200586
3 200267
4 200549
5 200349
6 200948
7 200840
8 200932
9 201531
10 200329
11
Maximum-likelihood reconstruction with ordered subsets in bone SPECT.
199927
12 200727
13 200720
14 199720
15 200820
16 200120
17 200619
18 200418
19 200818
20 201117

About Didier Blocklet

Didier Blocklet is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Epidemiology, Immunology and Surgery, having authored 36 papers that have together received 846 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), Parathyroid Disorders and Treatments (5 papers), Medical Imaging and Pathology Studies (5 papers), Bone health and treatments (4 papers), T-cell and B-cell Immunology (4 papers), Mesenchymal stem cell research (3 papers), Inhalation and Respiratory Drug Delivery (2 papers) and Autoimmune Bullous Skin Diseases (2 papers). The work is most often cited by research in Nephrology (81 citations), Genetics (95 citations), Emergency Medicine (56 citations), Surgery (265 citations) and Immunology (126 citations). Didier Blocklet has collaborated with scholars based in Belgium, Netherlands and Portugal. Frequent co-authors include Serge Goldman, Dominique Egrise, Nicolas Dumarey, André Schoutens, Michel Toungouz, M. Lambermont, Gaëtan Van Simaeys, Michel Goldman, Frédérique Jacobs and Bernard Stallenberg. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Cancer Immunology Immunotherapy, European Journal of Pharmaceutics and Biopharmaceutics, Contrast Media & Molecular Imaging and Thrombosis Research.

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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