Marion Moseby‐Knappe

1.0k total citations
24 papers, 299 citations indexed

About

Marion Moseby‐Knappe is a scholar working on Emergency Medicine, Epidemiology and Neurology. According to data from OpenAlex, Marion Moseby‐Knappe has authored 24 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Emergency Medicine, 12 papers in Epidemiology and 10 papers in Neurology. Recurrent topics in Marion Moseby‐Knappe's work include Cardiac Arrest and Resuscitation (21 papers), Traumatic Brain Injury and Neurovascular Disturbances (10 papers) and Traumatic Brain Injury Research (10 papers). Marion Moseby‐Knappe is often cited by papers focused on Cardiac Arrest and Resuscitation (21 papers), Traumatic Brain Injury and Neurovascular Disturbances (10 papers) and Traumatic Brain Injury Research (10 papers). Marion Moseby‐Knappe collaborates with scholars based in Sweden, United Kingdom and Denmark. Marion Moseby‐Knappe's co-authors include Niklas Nielsen, Tobias Cronberg, Hans Friberg, Janneke Horn, Jesper Kjærgaard, Christian Hassager, Niklas Mattsson, Johan Undén, Irina Dragancea and Susann Ullén and has published in prestigious journals such as Critical Care Medicine, Intensive Care Medicine and Critical Care.

In The Last Decade

Marion Moseby‐Knappe

19 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marion Moseby‐Knappe Sweden 9 244 151 136 57 48 24 299
Maddalena Spalletti Italy 12 287 1.2× 206 1.4× 206 1.5× 32 0.6× 36 0.8× 27 347
Luis Urbano Switzerland 8 161 0.7× 139 0.9× 108 0.8× 77 1.4× 27 0.6× 11 298
Marlijn J. A. Kamps Netherlands 6 374 1.5× 222 1.5× 183 1.3× 115 2.0× 57 1.2× 9 441
Yuthana Udomphorn United States 8 183 0.8× 308 2.0× 186 1.4× 47 0.8× 11 0.2× 13 379
Nophanan Chaikittisilpa United States 12 182 0.7× 226 1.5× 78 0.6× 29 0.5× 50 1.0× 28 402
Tim Schroeder Germany 7 172 0.7× 103 0.7× 57 0.4× 55 1.0× 63 1.3× 19 228
Sofia Backman Sweden 9 251 1.0× 146 1.0× 133 1.0× 58 1.0× 49 1.0× 15 321
Tarik Hissem France 5 157 0.6× 49 0.3× 65 0.5× 75 1.3× 44 0.9× 5 237
Ingrid Magnet Austria 9 209 0.9× 44 0.3× 29 0.2× 41 0.7× 63 1.3× 29 249
Karl Georg Kanz Germany 7 163 0.7× 113 0.7× 92 0.7× 11 0.2× 60 1.3× 10 368

Countries citing papers authored by Marion Moseby‐Knappe

Since Specialization
Citations

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

Fields of papers citing papers by Marion Moseby‐Knappe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marion Moseby‐Knappe. 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 Marion Moseby‐Knappe. The network helps show where Marion Moseby‐Knappe may publish in the future.

Co-authorship network of co-authors of Marion Moseby‐Knappe

This figure shows the co-authorship network connecting the top 25 collaborators of Marion Moseby‐Knappe. A scholar is included among the top collaborators of Marion Moseby‐Knappe 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 Marion Moseby‐Knappe. Marion Moseby‐Knappe 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
1.
Admiraal, Marjolein M., Sofia Backman, Martin Annborn, et al.. (2025). Assessing both early and late EEG patterns improves prediction of outcome after cardiac arrest. Resuscitation. 215. 110762–110762.
2.
Moseby‐Knappe, Marion, et al.. (2025). Proteomic analysis of serum samples after cardiac arrest: Rationale and design of a TTM-trial substudy. Resuscitation Plus. 25. 101014–101014.
3.
Sandroni, Claudio, Antonello Grippo, Byung Kook Lee, et al.. (2025). Evaluating Functional Outcome in Patients with Discordant Prognostic Signs Following Cardiac Arrest. Resuscitation. 215. S6–S7.
4.
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McGuigan, Peter J., Ellen Pauley, Glenn M. Eastwood, et al.. (2024). Drug therapy versus placebo or usual care for comatose survivors of cardiac arrest; a systematic review with meta-analysis. Resuscitation. 205. 110431–110431. 3 indexed citations
6.
Levin, Helena, Marion Moseby‐Knappe, Tobias Cronberg, et al.. (2024). Plasma glial fibrillary acidic protein and tau: predictors of neurological outcome after cardiac arrest. Critical Care. 28(1). 116–116. 4 indexed citations
7.
Ramgren, Birgitta, Marion Moseby‐Knappe, Daniel Oudin Åström, et al.. (2024). Retrograde cerebral perfusion reduces embolic and watershed lesions after acute type a aortic dissection repair with deep hypothermic circulatory arrest. Journal of Cardiothoracic Surgery. 19(1). 302–302. 2 indexed citations
8.
Hinrichs, Carl, Farid Salih, Niklas Nielsen, et al.. (2024). Regional Brain Net Water Uptake in Computed Tomography after Cardiac Arrest – A Novel Biomarker for Neuroprognostication. Resuscitation. 200. 110243–110243. 1 indexed citations
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Levin, Helena, Anna Lybeck, Attila Frigyesi, et al.. (2023). Plasma neurofilament light is a predictor of neurological outcome 12 h after cardiac arrest. Critical Care. 27(1). 74–74. 18 indexed citations
12.
Ashton, Nicholas J., Marion Moseby‐Knappe, Andréa L. Benedet, et al.. (2023). Alzheimer Disease Blood Biomarkers in Patients With Out-of-Hospital Cardiac Arrest. JAMA Neurology. 80(4). 388–388. 22 indexed citations
13.
Ali, Ashfaq, Marion Moseby‐Knappe, Tobias Cronberg, et al.. (2023). Serum proteome profiles in patients treated with targeted temperature management after out-of-hospital cardiac arrest. Intensive Care Medicine Experimental. 11(1). 43–43. 4 indexed citations
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15.
Nordström, Erik, Gisela Lilja, Susann Ullén, et al.. (2022). Serum neurofilament light levels are correlated to long-term neurocognitive outcome measures after cardiac arrest. Brain Injury. 36(6). 800–809. 10 indexed citations
16.
Nielsen, Niklas, Kaj Blennow, Josef Dankiewicz, et al.. (2022). Brain injury markers in blood predict signs of hypoxic ischaemic encephalopathy on head computed tomography after cardiac arrest. Resuscitation. 184. 109668–109668. 10 indexed citations
17.
Nielsen, Niklas, Susann Ullén, Kasim Abul‐Kasim, et al.. (2022). A pilot study of methods for prediction of poor outcome by head computed tomography after cardiac arrest. Resuscitation. 179. 61–70. 8 indexed citations
18.
Leithner, Christoph, Michael Scheel, Tobias Cronberg, et al.. (2022). Prognostic accuracy of head computed tomography for prediction of functional outcome after out-of-hospital cardiac arrest: Rationale and design of the prospective TTM2-CT-substudy. Resuscitation Plus. 12. 100316–100316. 1 indexed citations
19.
Ebner, Florian, Marion Moseby‐Knappe, Niklas Mattsson, et al.. (2020). Serum GFAP and UCH-L1 for the prediction of neurological outcome in comatose cardiac arrest patients. Resuscitation. 154. 61–68. 37 indexed citations
20.
Moseby‐Knappe, Marion, Tommaso Pellis, Irina Dragancea, et al.. (2017). Head computed tomography for prognostication of poor outcome in comatose patients after cardiac arrest and targeted temperature management. Resuscitation. 119. 89–94. 56 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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