Marissa de Mos

2.4k total citations · 1 hit paper
19 papers, 1.7k citations indexed

About

Marissa de Mos is a scholar working on Anesthesiology and Pain Medicine, Physiology and Pharmacology. According to data from OpenAlex, Marissa de Mos has authored 19 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Anesthesiology and Pain Medicine, 15 papers in Physiology and 7 papers in Pharmacology. Recurrent topics in Marissa de Mos's work include Pain Mechanisms and Treatments (15 papers), Pain Management and Treatment (15 papers) and Musculoskeletal pain and rehabilitation (7 papers). Marissa de Mos is often cited by papers focused on Pain Mechanisms and Treatments (15 papers), Pain Management and Treatment (15 papers) and Musculoskeletal pain and rehabilitation (7 papers). Marissa de Mos collaborates with scholars based in Netherlands, Canada and Switzerland. Marissa de Mos's co-authors include Miriam Sturkenboom, Frank Huygen, J. Dieleman, Jeanne P. Dieleman, J. S. H. A. Koopman, Bruno H. Stricker, Jacobus J. van Hilten, Johan Marinus, Anouk den Braber and Terence J. Coderre and has published in prestigious journals such as Pain, American Journal of Tropical Medicine and Hygiene and Journal of Pain.

In The Last Decade

Marissa de Mos

19 papers receiving 1.6k citations

Hit Papers

The incidence of complex regional pain syndrome: A popula... 2006 2026 2012 2019 2006 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The incidence of complex regional pain syndrome: A population-based study
    2006 629 citations Marissa de Mos, Frank Huygen et al. Pain profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marissa de Mos Netherlands 14 1.2k 906 897 380 323 19 1.7k
Gerard A.M. Barendse Netherlands 16 1.4k 1.2× 1.5k 1.6× 814 0.9× 361 0.9× 638 2.0× 22 2.1k
George Groeneweg Netherlands 19 772 0.7× 762 0.8× 625 0.7× 213 0.6× 263 0.8× 38 1.3k
Line Jacques Canada 16 1.4k 1.2× 1.3k 1.4× 479 0.5× 289 0.8× 344 1.1× 66 2.0k
Peter H.J.M. Veldman Netherlands 8 930 0.8× 617 0.7× 675 0.8× 257 0.7× 68 0.2× 8 1.1k
Michael Hanes United States 11 455 0.4× 356 0.4× 398 0.4× 65 0.2× 90 0.3× 15 904
Carol James United States 10 421 0.4× 499 0.6× 158 0.2× 80 0.2× 361 1.1× 15 884
David Caraway United States 17 685 0.6× 492 0.5× 269 0.3× 64 0.2× 107 0.3× 38 959
Liong Liem Netherlands 14 728 0.6× 543 0.6× 526 0.6× 148 0.4× 82 0.3× 16 935
L.-E. Augustinsson Sweden 16 734 0.6× 370 0.4× 227 0.3× 73 0.2× 56 0.2× 21 1.3k
James North United States 14 408 0.3× 319 0.4× 231 0.3× 41 0.1× 135 0.4× 23 685

Countries citing papers authored by Marissa de Mos

Since Specialization
Citations

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

Fields of papers citing papers by Marissa de Mos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marissa de Mos. 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 Marissa de Mos. The network helps show where Marissa de Mos may publish in the future.

Co-authorship network of co-authors of Marissa de Mos

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

All Works

19 of 19 papers shown
1.
Dirckx, Maaike, Marco W.J. Schreurs, Marissa de Mos, Dirk L. Stronks, & Frank Huygen. (2015). The Prevalence of Autoantibodies in Complex Regional Pain Syndrome Type I. Mediators of Inflammation. 2015(1). 718201–718201. 32 indexed citations
2.
Mos, Marissa de, Ewout J. Hoorn, Diederik W.J. Dippel, & Jasper van Bommel. (2015). Uremic encephalopathy in critical care: does it exist and does renal replacement therapy improve outcome?. Intensive Care Medicine Experimental. 3(S1). 2 indexed citations
3.
Soonawala, Darius, et al.. (2011). The Immune Response to Schistosome Antigens in Formerly Infected Travelers. American Journal of Tropical Medicine and Hygiene. 84(1). 43–47. 9 indexed citations
4.
Mos, Marissa de, Jacobus J. van Hilten, Miriam Sturkenboom, et al.. (2009). Increased Risk of Complex Regional Pain Syndrome in Siblings of Patients?. Journal of Pain. 10(12). 1250–1255. 24 indexed citations
5.
Koopman, J. S. H. A., Frank Huygen, Jeanne P. Dieleman, Marissa de Mos, & Miriam Sturkenboom. (2009). Pharmacological Treatment of Neuropathic Facial Pain in the Dutch General Population. Journal of Pain. 11(3). 264–272. 8 indexed citations
6.
Mos, Marissa de, André Laferrière, Magali Millecamps, et al.. (2009). Role of NFκB in an Animal Model of Complex Regional Pain Syndrome–type I (CRPS-I). Journal of Pain. 10(11). 1161–1169. 47 indexed citations
7.
8.
Koopman, J. S. H. A., et al.. (2009). Incidence of facial pain in the general population. Pain. 147(1). 122–127. 315 indexed citations
9.
Mos, Marissa de, Miriam Sturkenboom, & Frank Huygen. (2009). Current Understandings on Complex Regional Pain Syndrome. Pain Practice. 9(2). 86–99. 105 indexed citations
10.
Mos, Marissa de, et al.. (2009). Referral and treatment patterns for complex regional pain syndrome in the Netherlands. Acta Anaesthesiologica Scandinavica. 53(6). 816–825. 12 indexed citations
11.
Mos, Marissa de, Miriam Sturkenboom, & Frank Huygen. (2009). REVIEW ARTICLE Current Understandings on Complex Regional Pain Syndrome. 1 indexed citations
12.
Mos, Marissa de, et al.. (2009). Outcome of the Complex Regional Pain Syndrome. Clinical Journal of Pain. 25(7). 590–597. 144 indexed citations
13.
Laferrière, André, Magali Millecamps, Dimitris N. Xanthos, et al.. (2008). Cutaneous Tactile Allodynia Associated with Microvascular Dysfunction in Muscle. Molecular Pain. 4. 49–49. 56 indexed citations
14.
Mos, Marissa de, et al.. (2008). Medical history and the onset of complex regional pain syndrome (CRPS). Pain. 139(2). 458–466. 115 indexed citations
15.
Mos, Marissa de, et al.. (2008). Estrogens and the risk of complex regional pain syndrome (CRPS). Pharmacoepidemiology and Drug Safety. 18(1). 44–52. 16 indexed citations
16.
Mos, Marissa de, et al.. (2008). Familial occurrence of complex regional pain syndrome. European Journal of Pain. 13(2). 171–177. 58 indexed citations
17.
Hettne, Kristina, Marissa de Mos, Marc Weeber, et al.. (2007). Applied information retrieval and multidisciplinary research: new mechanistic hypotheses in Complex Regional Pain Syndrome. PubMed. 2(1). 2–2. 19 indexed citations
18.
Mos, Marissa de, et al.. (2006). The incidence of complex regional pain syndrome: A population-based study. Pain. 129(1). 12–20. 629 indexed citations breakdown →
19.
Mos, Marissa de, et al.. (2006). 951 THE INCIDENCE OF COMPLEX REGIONAL PAIN SYNDROME; A POPULATION BASED STUDY. European Journal of Pain. 10(S1). 21 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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