Patrick De Smet

3.4k citations
115 papers · 2.9k · h-index 29

Impact in

Papers in

Patrick De Smet

109 papers receiving 2.8k citations

Peers

Patrick De Smet
Comparison fields: 5 of 171
  • Physiology 262
  • Sensory Systems 237
  • Space and Planetary Science 42
  • Cellular and Molecular Neuroscience 461
  • Molecular Biology 1.4k
Replace Philip Poronnik with:
Philip Poronnik Australia
Richard A. Stone United States
Rivka Carmi Israel
Antonio Conti Italy
Caroline C. W. Klaver Netherlands
Pablo Villoslada Spain
Alexander C. Flint United States
Sheldon S. Miller United States
Morten Scheibye‐Knudsen Denmark
Alfredo Ramı́rez Germany
Patrick De Smet relative to Philip Poronnik Australia Philip Poronnik's profile →
Citations per field
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Citations per year

Countries citing papers authored by Patrick De Smet

Since Specialization
Citations

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

Fields of papers citing papers by Patrick De Smet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick De Smet. 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 Patrick De Smet. The network helps show where Patrick De Smet may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001407
2 2001131
3 1999117
4 2007113
5 2001110
6 201089
7 200586
8 200186
9 199981
10 200580
11 201366
12 199864
13 200064
14 200061
15 199960
16 199758
17 200357
18 200454
19 201153
20 199548

About Patrick De Smet

Patrick De Smet is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, General Health Professions, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 115 papers that have together received 2.9k indexed citations. Recurring topics across this work include Ion channel regulation and function (23 papers), Medical Image Segmentation Techniques (13 papers), Protein Kinase Regulation and GTPase Signaling (11 papers), Workplace Health and Well-being (9 papers), Cardiac electrophysiology and arrhythmias (8 papers), Neuroscience and Neuropharmacology Research (8 papers), Image Processing and 3D Reconstruction (8 papers) and Image and Object Detection Techniques (6 papers). The work is most often cited by research in Physiology (262 citations), Sensory Systems (237 citations), Space and Planetary Science (42 citations), Cellular and Molecular Neuroscience (461 citations) and Molecular Biology (1.4k citations). Patrick De Smet has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Humbert De Smedt, Ludwig Missiaen, Jan B. Parys, Geert Callewaert, Guy De Backer, Marcel Kornitzer, Willy Van Driessche, W. Van Driessche, Sara Vanlingen and Edwin Pelfrene. Their work appears in journals such as Pflügers Archiv - European Journal of Physiology, Cell Calcium, American Journal of Physiology-Cell Physiology, Biochemical Journal and The Journal of Physiology.

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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