Margot De Kooning

86 total papers · 932 total citations
35 papers, 682 citations indexed

About

Margot De Kooning is a scholar working on Pharmacology, Psychiatry and Mental health and Cognitive Neuroscience. According to data from OpenAlex, Margot De Kooning has authored 35 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Pharmacology, 19 papers in Psychiatry and Mental health and 7 papers in Cognitive Neuroscience. Recurrent topics in Margot De Kooning's work include Musculoskeletal pain and rehabilitation (28 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (16 papers) and Pain Mechanisms and Treatments (6 papers). Margot De Kooning is often cited by papers focused on Musculoskeletal pain and rehabilitation (28 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (16 papers) and Pain Mechanisms and Treatments (6 papers). Margot De Kooning collaborates with scholars based in Belgium, Netherlands and Sweden. Margot De Kooning's co-authors include Jo Nijs, Kelly Ickmans, Nathalie Roussel, Mira Meeus, Jessica Van Oosterwijck, Filip Struyf, Liesbeth Daenen, Mari Lundberg, Lorna Paul and Enrique Lluch and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pain and Physical Therapy.

In The Last Decade

Margot De Kooning

34 papers receiving 658 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Margot De Kooning	384	350	130	110	100	35	682
Doeke Keizer	384 1.0×	269 0.8×	197 1.5×	67 0.6×	158 1.6×	25	774
Paul van Wilgen	458 1.2×	242 0.7×	209 1.6×	69 0.6×	156 1.6×	28	769
Björn Börsbo	443 1.2×	290 0.8×	139 1.1×	41 0.4×	92 0.9×	22	755
Scott D. Tagliaferri	581 1.5×	183 0.5×	87 0.7×	125 1.1×	93 0.9×	33	709
Adina C. Rusu	555 1.4×	341 1.0×	90 0.7×	51 0.5×	184 1.8×	29	759
Ericka N. Merriwether	362 0.9×	247 0.7×	134 1.0×	60 0.5×	49 0.5×	33	728
Marta Pérez‐de‐Heredia‐Torres	185 0.5×	206 0.6×	66 0.5×	86 0.8×	83 0.8×	66	734
Luc Lambrecht	335 0.9×	446 1.3×	99 0.8×	37 0.3×	164 1.6×	28	724
Akira Mibu	468 1.2×	260 0.7×	152 1.2×	75 0.7×	112 1.1×	38	681
David M. Klyne	407 1.1×	233 0.7×	205 1.6×	65 0.6×	69 0.7×	36	627

Countries citing papers authored by Margot De Kooning

Since Specialization

Citations

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

Fields of papers citing papers by Margot De Kooning

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margot De Kooning

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

All Works

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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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