Marie Udnesseter Lie

666 total citations
8 papers, 57 citations indexed

About

Marie Udnesseter Lie is a scholar working on Pharmacology, Cognitive Neuroscience and Physiology. According to data from OpenAlex, Marie Udnesseter Lie has authored 8 papers receiving a total of 57 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pharmacology, 4 papers in Cognitive Neuroscience and 4 papers in Physiology. Recurrent topics in Marie Udnesseter Lie's work include Musculoskeletal pain and rehabilitation (5 papers), Pain Mechanisms and Treatments (4 papers) and Pain Management and Placebo Effect (4 papers). Marie Udnesseter Lie is often cited by papers focused on Musculoskeletal pain and rehabilitation (5 papers), Pain Mechanisms and Treatments (4 papers) and Pain Management and Placebo Effect (4 papers). Marie Udnesseter Lie collaborates with scholars based in Norway, United States and Sweden. Marie Udnesseter Lie's co-authors include John‐Anker Zwart, Dagfinn Matre, Kristian Bernhard Nilsen, Ingrid Heuch, Audun Stubhaug, Bendik S. Winsvold, Per Hansson, Luda Diatchenko, Marc Parisien and Linda M. Pedersen and has published in prestigious journals such as Frontiers in Genetics, European Journal of Pain and PAIN Reports.

In The Last Decade

Marie Udnesseter Lie

7 papers receiving 57 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Marie Udnesseter Lie Norway	5	37	33	15	15	6	8	57
Gabriel Cuatrecasas Spain	3	25 0.7×	11 0.3×	9 0.6×	24 1.6×	8 1.3×	4	73
Anca Leibovici Israel	4	12 0.3×	44 1.3×	7 0.5×	14 0.9×	24 4.0×	7	79
Alan Schumann United States	4	60 1.6×	15 0.5×	15 1.0×	12 0.8×	16 2.7×	5	109
Bendik S Winsvold Norway	3	23 0.6×	30 0.9×	10 0.7×	42 2.8×	7 1.2×	3	73
Karin Abeler Norway	6	21 0.6×	20 0.6×	10 0.7×	13 0.9×	10 1.7×	9	75
Charles Argoff United States	3	79 2.1×	56 1.7×	18 1.2×	9 0.6×	4 0.7×	4	118
Jolanta Grydehøj Denmark	3	38 1.0×	15 0.5×	6 0.4×	9 0.6×	2 0.3×	4	60
Charlotte Dunn United States	5	12 0.3×	19 0.6×	6 0.4×	14 0.9×	8 1.3×	6	78
Matthew T. Knauf United States	4	48 1.3×	36 1.1×	15 1.0×	17 1.1×	3 0.5×	8	68
D Sissons Australia	1	21 0.6×	40 1.2×	12 0.8×	10 0.7×		2	54

Countries citing papers authored by Marie Udnesseter Lie

Since Specialization

Citations

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

Fields of papers citing papers by Marie Udnesseter Lie

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie Udnesseter Lie. 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 Marie Udnesseter Lie. The network helps show where Marie Udnesseter Lie may publish in the future.

Co-authorship network of co-authors of Marie Udnesseter Lie

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

All Works

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8 of 8 papers shown

Lie, Marie Udnesseter, Kristian Bernhard Nilsen, Petter Moe Omland, et al.. (2023). The future is data-driven: A call to clinical neurophysiology laboratories to standardize your NCS data. Clinical Neurophysiology Practice. 8. 111–112. 1 indexed citations

Bortsov, Andrey V., Marc Parisien, Samar Khoury, et al.. (2022). Brain-specific genes contribute to chronic but not to acute back pain. PAIN Reports. 7(5). e1018–e1018. 18 indexed citations

Lie, Marie Udnesseter, Linda M. Pedersen, Ingrid Heuch, et al.. (2022). Low Back Pain With Persistent Radiculopathy; the Clinical Role of Genetic Variants in the Genes SOX5, CCDC26/GSDMC and DCC. Frontiers in Genetics. 12. 757632–757632. 4 indexed citations

Lie, Marie Udnesseter, et al.. (2021). Can within-subject comparisons of thermal thresholds be used for diagnostic purposes?. Clinical Neurophysiology Practice. 6. 63–71.

Lie, Marie Udnesseter, Bendik S. Winsvold, Johannes Gjerstad, et al.. (2020). The association between selected genetic variants and individual differences in experimental pain. Scandinavian Journal of Pain. 21(1). 163–173. 9 indexed citations

Grotle, Margreth, Dagfinn Matre, Linda M. Pedersen, et al.. (2019). Predicting the outcome of persistent sciatica using conditioned pain modulation: 1-year results from a prospective cohort study. Scandinavian Journal of Pain. 20(1). 69–75. 5 indexed citations

Lie, Marie Udnesseter, Dagfinn Matre, Per Hansson, et al.. (2019). Psychophysical or spinal reflex measures when assessing conditioned pain modulation?. European Journal of Pain. 23(10). 1879–1889. 5 indexed citations

Lie, Marie Udnesseter, Dagfinn Matre, Per Hansson, et al.. (2017). A tonic heat test stimulus yields a larger and more reliable conditioned pain modulation effect compared to a phasic heat test stimulus. PAIN Reports. 2(6). e626–e626. 15 indexed citations

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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