Marc Pawlitzki

3.2k citations
81 papers · 1.1k indexed · h-index 21
Topics
Multiple Sclerosis Research Studies (38 papers)Peripheral Neuropathies and Disorders (19 papers)Neuroinflammation and Neurodegeneration Mechanisms (9 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONENeurology

In The Last Decade

Marc Pawlitzki

72 papers receiving 1.1k citations

Peers

Marc Pawlitzki
Comparison fields: 5 of 105
  • Pathology and Forensic Medicine 434
  • Neurology 357
  • Rheumatology 152
  • Immunology 152
  • Molecular Biology 150
Replace Benjamin M. Jacobs with:
Benjamin M. Jacobs United Kingdom
Gaurav Gupta United States
Francesco Garaci Italy
Melissa Cambron Belgium
William E. Karnes United States
Anke Salmen Switzerland
Chongbo Zhao China
Panos Stathopoulos United States
Anneke van der Walt Australia
J.R. Ara Spain
Marc Pawlitzki relative to Benjamin M. Jacobs United Kingdom Benjamin M. Jacobs's profile →
Citations per field
00.5×1.5×
Benjamin M. Jacobs · 1×
Citations per year

Countries citing papers authored by Marc Pawlitzki

Since Specialization
Citations

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

Fields of papers citing papers by Marc Pawlitzki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marc Pawlitzki

This figure shows the co-authorship network connecting the top 25 collaborators of Marc Pawlitzki. A scholar is included among the top collaborators of Marc Pawlitzki 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 Marc Pawlitzki. Marc Pawlitzki 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
#WorkIndexed citations
1 0
2 0
3 2
4 34
5 3
6 6
7 0
8 7
9 8
10 16
11 19
12 4
13 14
14 5
15 5
16 16
17 20
18 9
19 14
20 13

About Marc Pawlitzki

Marc Pawlitzki is a scholar working on Health Informatics, Pathology and Forensic Medicine and Neurology, having authored 81 papers that have together received 1.1k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (38 papers), Peripheral Neuropathies and Disorders (19 papers) and Neuroinflammation and Neurodegeneration Mechanisms (9 papers). The work is most often cited by research in Pathology and Forensic Medicine (434 citations), Neurology (357 citations) and Health Informatics (24 citations). Marc Pawlitzki has collaborated with scholars based in Germany, Switzerland and Austria. Frequent co-authors include Sven G. Meuth, Tobias Ruck, Leoni Rolfes, Heinz Wiendl, Steffen Pfeuffer, Lars Masanneck, Jens Neumann, Stefanie Schreiber, Catherine M. Sweeney‐Reed and Niklas Huntemann. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

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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