Simon Faissner

1.9k total citations · 1 hit paper
61 papers, 1.3k citations indexed

About

Simon Faissner is a scholar working on Neurology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Simon Faissner has authored 61 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Neurology, 27 papers in Pathology and Forensic Medicine and 12 papers in Oncology. Recurrent topics in Simon Faissner's work include Multiple Sclerosis Research Studies (27 papers), Peripheral Neuropathies and Disorders (15 papers) and Neuroinflammation and Neurodegeneration Mechanisms (8 papers). Simon Faissner is often cited by papers focused on Multiple Sclerosis Research Studies (27 papers), Peripheral Neuropathies and Disorders (15 papers) and Neuroinflammation and Neurodegeneration Mechanisms (8 papers). Simon Faissner collaborates with scholars based in Germany, United States and Canada. Simon Faissner's co-authors include Ralf Gold, V. Wee Yong, Jason R. Plemel, Andrew Chan, Robert Hoepner, Björn Ambrosius, Aiden Haghikia, Christos Krogias, Anke Salmen and Steffen Haupeltshofer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Simon Faissner

57 papers receiving 1.3k citations

Hit Papers

Progressive multiple sclerosis: from pathophysiology to t... 2019 2026 2021 2023 2019 100 200 300

Peers

Simon Faissner
Comparison fields: 5 of 102
  • Pathology and Forensic Medicine 534
  • Neurology 312
  • Molecular Biology 304
  • Neurology 265
  • Immunology 215
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Citations per field, relative to Simon Faissner
Simon Faissner · 1×
Citations per year, relative to Simon Faissner
Simon Faissner · 1×

Countries citing papers authored by Simon Faissner

Since Specialization
Citations

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

Fields of papers citing papers by Simon Faissner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Simon Faissner

This figure shows the co-authorship network connecting the top 25 collaborators of Simon Faissner. A scholar is included among the top collaborators of Simon Faissner 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 Simon Faissner. Simon Faissner 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
# Work Indexed citations
1 1
2 0
3 1
4 0
5 2
6 25
7 14
8 21
9 8
10 3
11 3
12 7
13 11
14 7
15 10
16 7
17 6
18
Progressive multiple sclerosis: from pathophysiology to therapeutic strategies breakdown →
308
19 51
20 61

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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