Anke Salmen

3.2k citations
91 papers · 898 · h-index 17

Impact in

    • Multiple Sclerosis Research Studies
  • Neurology top 5%
    • Peripheral Neuropathies and Disorders
    • Long-Term Effects of COVID-19
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Anke Salmen

83 papers receiving 880 citations

Peers

Anke Salmen
Comparison fields: 5 of 104
  • Pathology and Forensic Medicine 546
  • Neurology 236
  • Neurology 90
  • Rheumatology 102
  • Oncology 146
Replace Jan‐Patrick Stellmann with:
Jan‐Patrick Stellmann Germany
Paul Browne United States
Julia Pakpoor United Kingdom
Marc Pawlitzki Germany
Rana Zabad United States
Pietro Iaffaldano Italy
James Stankiewicz United States
Laura De Giglio Italy
Vahid Shaygannejad Iran
Robert Hoepner Switzerland
Anke Salmen relative to Jan‐Patrick Stellmann Germany Jan‐Patrick Stellmann's profile →
Citations per field
00.5×1.5×
Jan‐Patrick Stellmann · 1×
Citations per year

Countries citing papers authored by Anke Salmen

Since Specialization
Citations

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

Fields of papers citing papers by Anke Salmen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Anke Salmen, 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 Anke Salmen Line = papers co-authored together Anke Salmen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018112
2 202153
3 201450
4 201939
5 201937
6 201426
7 202025
8 201824
9 202021
10 201720
11 201620
12 201919
13 202119
14 202218
15 201818
16 202218
17 201516
18 202215
19 202215
20 201915

About Anke Salmen

Anke Salmen is a scholar working on Pathology and Forensic Medicine, Neurology, Oncology, Rheumatology and Immunology, having authored 91 papers that have together received 898 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (60 papers), Peripheral Neuropathies and Disorders (19 papers), Polyomavirus and related diseases (13 papers), Systemic Lupus Erythematosus Research (9 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Rheumatoid Arthritis Research and Therapies (7 papers), Immunotherapy and Immune Responses (6 papers) and Cytokine Signaling Pathways and Interactions (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (546 citations), Neurology (236 citations), Neurology (90 citations), Rheumatology (102 citations) and Oncology (146 citations). Anke Salmen has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Andrew Chan, Robert Hoepner, Ralf Gold, Christian P. Kamm, Viktor von Wyl, Claudio Gobbi, Jens Kühle, Pasquale Calabrese, Milo A. Puhan and Jürg Kesselring. Their work appears in journals such as Multiple Sclerosis and Related Disorders, Therapeutic Advances in Neurological Disorders, CNS Neuroscience & Therapeutics, Neurology Neuroimmunology & Neuroinflammation and Multiple Sclerosis Journal.

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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