Patrick De Smet

3.4k citations
108 papers · 2.8k · h-index 29

Impact in

Papers in

Patrick De Smet

103 papers receiving 2.6k citations

Peers

Patrick De Smet
Comparison fields: 5 of 171
  • Physiology 253
  • Sensory Systems 237
  • Space and Planetary Science 36
  • Cellular and Molecular Neuroscience 459
  • Molecular Biology 1.4k
Replace Philip Poronnik with:
Philip Poronnik Australia
Takeshi Hashimoto Japan
Hongmei Yu China
Achim Berthele Germany
Jeremy Ward United Kingdom
Antonio Conti Italy
K. M. Baldwin United States
Marie Thérèse Hosey United Kingdom
Richard A. Stone United States
Pam Smith United Kingdom
Patrick De Smet relative to Philip Poronnik Australia Philip Poronnik's profile →
Citations per field
00.5×1.5×2.0×
Philip Poronnik · 1×
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 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001384
2 2001130
3 1999114
4 2007107
5 2001107
6 201086
7 200185
8 200581
9 199979
10 200577
11 200064
12 199863
13 201362
14 200060
15 199958
16 200356
17 199756
18 200453
19 201152
20 200146

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 108 papers that have together received 2.8k indexed citations. Recurring topics across this work include Ion channel regulation and function (23 papers), Workplace Health and Well-being (10 papers), Medical Image Segmentation Techniques (10 papers), Protein Kinase Regulation and GTPase Signaling (10 papers), Image Processing and 3D Reconstruction (8 papers), Neuroscience and Neuropharmacology Research (8 papers), Cardiac electrophysiology and arrhythmias (8 papers) and School Health and Nursing Education (7 papers). The work is most often cited by research in Physiology (253 citations), Sensory Systems (237 citations), Space and Planetary Science (36 citations), Cellular and Molecular Neuroscience (459 citations) and Molecular Biology (1.4k citations). Patrick De Smet has collaborated with scholars based in Belgium, United States and Italy. Frequent co-authors include Humbert De Smedt, Jan B. Parys, Ludwig Missiaen, Guy De Backer, Marcel Kornitzer, Geert Callewaert, Willy Van Driessche, W. Van Driessche, Edwin Pelfrene and Sara Vanlingen. Their work appears in journals such as Pflügers Archiv - European Journal of Physiology, Cell Calcium, American Journal of Physiology-Cell Physiology, Biochemical Journal and Forensic Science International.

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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