Lore Dams

963 citations
43 papers · 619 · h-index 16

Impact in

Papers in

Lore Dams

41 papers receiving 611 citations

Peers

Lore Dams
Comparison fields: 5 of 67
  • Anesthesiology and Pain Medicine 82
  • Oncology 308
  • Pediatrics, Perinatology and Child Health 59
  • Physiology 77
  • Orthopedics and Sports Medicine 19
Replace M. Korpan with:
M. Korpan Austria
Nele Adriaenssens Belgium
Dawn Lemanne United States
Matthew Brown United Kingdom
Randy A. Shelerud United States
Yolanda Escobar Spain
Ricardo Plancarte Mexico
Hanna van Waart New Zealand
Shiv Pratap Singh Rana India
Helen Shnol United States
Lore Dams relative to M. Korpan Austria M. Korpan's profile →
Citations per field
00.5×10×20×27×
M. Korpan · 1×
Citations per year

Countries citing papers authored by Lore Dams

Since Specialization
Citations

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

Fields of papers citing papers by Lore Dams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201867
2 202161
3 201939
4 201928
5 201928
6 201926
7 202025
8 202025
9 201924
10 202222
11 202121
12 202020
13 202318
14 202218
15 202017
16 201816
17 202014
18 201914
19 202013
20 202112

About Lore Dams

Lore Dams is a scholar working on Oncology, Anesthesiology and Pain Medicine, Pharmacology, Surgery and Pediatrics, Perinatology and Child Health, having authored 43 papers that have together received 619 indexed citations. Recurring topics across this work include Lymphatic System and Diseases (14 papers), Pain Management and Opioid Use (7 papers), Cancer survivorship and care (5 papers), Musculoskeletal pain and rehabilitation (4 papers), Pediatric Pain Management Techniques (3 papers), Respiratory Support and Mechanisms (2 papers), Anesthesia and Pain Management (2 papers) and Pain Mechanisms and Treatments (2 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (82 citations), Oncology (308 citations), Pediatrics, Perinatology and Child Health (59 citations), Physiology (77 citations) and Orthopedics and Sports Medicine (19 citations). Lore Dams has collaborated with scholars based in Belgium, Australia and Türkiye. Frequent co-authors include An De Groef, Nele Devoogdt, Elien Van der Gucht, Tessa De Vrieze, Mira Meeus, Vincent Haenen, Ines Nevelsteen, Nick Gebruers, Sarah Thomis and Inge Geraerts. Their work appears in journals such as Supportive Care in Cancer, Lymphatic Research and Biology, Disability and Rehabilitation, The Anatomical Record and Clinical Rehabilitation.

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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