Marcus Sucksdorff

36 total papers · 834 total citations
23 papers, 493 citations indexed

About

Marcus Sucksdorff is a scholar working on Pathology and Forensic Medicine, Neurology and Oncology. According to data from OpenAlex, Marcus Sucksdorff has authored 23 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Pathology and Forensic Medicine, 9 papers in Neurology and 5 papers in Oncology. Recurrent topics in Marcus Sucksdorff's work include Multiple Sclerosis Research Studies (20 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Marcus Sucksdorff is often cited by papers focused on Multiple Sclerosis Research Studies (20 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers) and Advanced Neuroimaging Techniques and Applications (5 papers). Marcus Sucksdorff collaborates with scholars based in Finland, Switzerland and United Kingdom. Marcus Sucksdorff's co-authors include Laura Airas, Markus Matilainen, Eero Rissanen, Jouni Tuisku, Marjo Nylund, Johanna Rokka, Juha O. Rinne, Teemu Paavilainen, Maija Saraste and Riitta Parkkola and has published in prestigious journals such as Brain, Neurology and Journal of Neurology Neurosurgery & Psychiatry.

In The Last Decade

Marcus Sucksdorff

21 papers receiving 492 citations

Author Peers

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

Author						Papers	Cites
Marcus Sucksdorff	349	171	136	113	80	23	493
Marjo Nylund	351 1.0×	156 0.9×	135 1.0×	108 1.0×	75 0.9×	22	477
Damiano Marastoni	272 0.8×	121 0.7×	120 0.9×	67 0.6×	49 0.6×	34	426
Kedar Mahajan	232 0.7×	76 0.4×	98 0.7×	113 1.0×	55 0.7×	24	547
Howard L. Weiner	192 0.6×	97 0.6×	76 0.6×	115 1.0×	67 0.8×	16	512
Roumen Balabanov	183 0.5×	159 0.9×	113 0.8×	187 1.7×	64 0.8×	16	517
Darius Häusler	286 0.8×	81 0.5×	110 0.8×	65 0.6×	114 1.4×	16	496
Signe Modvig	195 0.6×	74 0.4×	108 0.8×	103 0.9×	47 0.6×	26	475
Luisa Pastò	355 1.0×	77 0.5×	140 1.0×	47 0.4×	38 0.5×	18	442
Livnat Brill	343 1.0×	81 0.5×	188 1.4×	90 0.8×	62 0.8×	29	522
Anisha Doshi	240 0.7×	54 0.3×	107 0.8×	139 1.2×	53 0.7×	31	477

Countries citing papers authored by Marcus Sucksdorff

Since Specialization

Citations

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

Fields of papers citing papers by Marcus Sucksdorff

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcus Sucksdorff

This figure shows the co-authorship network connecting the top 25 collaborators of Marcus Sucksdorff. A scholar is included among the top collaborators of Marcus Sucksdorff 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 Marcus Sucksdorff. Marcus Sucksdorff 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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