S Mörk

32 papers receiving 1.5k citations

Peers

S Mörk
Comparison fields: 5 of 77
  • Genetics 474
  • Developmental Neuroscience 142
  • Pathology and Forensic Medicine 458
  • Neurology 212
  • Neurology 307
Replace K. Kitz with:
K. Kitz Austria
Benjamin Ellezam Canada
Iwao Takeshita Japan
Amilcar A. Castellano‐Sanchez United States
Uğur Özerdem United States
M. L. Bajenaru United States
L. J. Rubinstein United States
Jean‐Philippe Merlio France
Louisa von Baumgarten Germany
Andreas Junker Germany
S Mörk relative to K. Kitz Austria K. Kitz's profile →
Citations per field
00.5×1.5×2.5×
K. Kitz · 1×
Citations per year

Countries citing papers authored by S Mörk

Since Specialization
Citations

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

Fields of papers citing papers by S Mörk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside S Mörk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with S Mörk Line = papers co-authored together S Mörk links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003386
2 2001178
3 2006123
4 1986121
5
Migratory pattern of fetal rat brain cells and human glioma cells in the adult rat brain.
199382
6
HLA class II molecules (HLA-DR, -DP, -DQ) on cells in the human CNS studied in situ and in vitro.
199471
7
The expression of CD59 in normal human nervous tissue.
199460
8 199057
9 198745
10 199243
11
Neoplasms of the central nervous system in Norway. III. Epidemiological characteristics of intracranial gliomas according to histology.
198941
12 198740
13
[Cerebral amyloid angiopathy].
199835
14 200727
15 198927
16 201027
17 200926
18 200825
19 198822
20 198017

About S Mörk

S Mörk is a scholar working on Genetics, Molecular Biology, Neurology, Pathology and Forensic Medicine and Surgery, having authored 36 papers that have together received 1.5k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (9 papers), Meningioma and schwannoma management (5 papers), Multiple Sclerosis Research Studies (3 papers), Sarcoma Diagnosis and Treatment (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Neurofibromatosis and Schwannoma Cases (2 papers), RNA Interference and Gene Delivery (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Genetics (474 citations), Developmental Neuroscience (142 citations), Pathology and Forensic Medicine (458 citations), Neurology (212 citations) and Neurology (307 citations). S Mörk has collaborated with scholars based in Norway, United States and United Kingdom. Frequent co-authors include Lars Bø, Harald Nyland, Christian A. Vedeler, Bruce D. Trapp, Jeroen J.G. Geurts, Paul van der Valk, Karl-Fredrik Lindegaard, Geir Egil Eide, Tore Halvorsen and Are Helseth. Their work appears in journals such as Acta Neurologica Scandinavica, Journal of Neuropathology & Experimental Neurology, Neuropathology and Applied Neurobiology, Acta Neuropathologica and Histopathology.

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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