Ann De Smedt

3.1k citations
82 papers · 1.6k indexed · 1 hit paper · h-index 24
Topics
Musculoskeletal pain and rehabilitation (29 papers)Pain Management and Treatment (25 papers)Animal testing and alternatives (12 papers)

In The Last Decade

Ann De Smedt

76 papers receiving 1.5k citations

Hit Papers

Virtual Reality Applications in Chronic Pain Management: ...20222026202320242022255075100

Peers

Ann De Smedt
Comparison fields: 5 of 121
  • Pharmacology 348
  • Anesthesiology and Pain Medicine 335
  • Small Animals 268
  • Epidemiology 257
  • Cardiology and Cardiovascular Medicine 220
Replace Massimo Allegri with:
Massimo Allegri Italy
Timo Siepmann Germany
Kimberley E. Wever Netherlands
M. Patrice Lindsay Canada
Rolf Karlsten Sweden
Helen Gaskell United Kingdom
Rajiv Gandhi United Kingdom
Andrea M. Trescot United States
Reuven Zimlichman Israel
Olli Kirvelä Finland
Ann De Smedt relative to Massimo Allegri Italy Massimo Allegri's profile →
Citations per field
00.5×4.1×
Massimo Allegri · 1×
Citations per year

Countries citing papers authored by Ann De Smedt

Since Specialization
Citations

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

Fields of papers citing papers by Ann De Smedt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ann De Smedt

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 2
3 21
4 10
5 9
6 8
7 6
8 33
9 16
10 4
11 28
12 19
13 14
14 12
15 82
16 13
17 11
18 17
19 5
20 7

About Ann De Smedt

Ann De Smedt is a scholar working on Anesthesiology and Pain Medicine, Pharmacology and Small Animals, having authored 82 papers that have together received 1.6k indexed citations. Recurring topics across this work include Musculoskeletal pain and rehabilitation (29 papers), Pain Management and Treatment (25 papers) and Animal testing and alternatives (12 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (335 citations), Small Animals (268 citations) and Neurology (208 citations). Ann De Smedt has collaborated with scholars based in Belgium, France and United Kingdom. Frequent co-authors include Maarten Moens, Raf Brouns, Lisa Goudman, Jacques De Keyser, Robbert‐Jan Van Hooff, Sylvie De Raedt, Laetitia Yperzeele, Philippe Rigoard, U. Pfannenbecker and Pauline McNamee. Their work appears in journals such as PLoS ONE, Neurology and Cancer 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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