Peter Wipfler

920 citations
56 papers · 658 · h-index 17

Impact in

    • Multiple Sclerosis Research Studies
  • Neurology top 10%
    • Peripheral Neuropathies and Disorders
    • Long-Term Effects of COVID-19
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

Peter Wipfler

50 papers receiving 652 citations

Peers

Peter Wipfler
Comparison fields: 5 of 79
  • Pathology and Forensic Medicine 362
  • Neurology 178
  • Immunology 168
  • Infectious Diseases 142
  • Oncology 166
Replace Paolo Ripellino with:
Paolo Ripellino Switzerland
Philipp Schwenkenbecher Germany
Ryan Ramanujam Sweden
Louise Wienholt Australia
Federico Ivaldi Italy
Alexander Winkelmann Germany
Cristina Ramo‐Tello Spain
Karen O’Connell Ireland
Markus C. Kowarik Germany
Makbule Şenel Germany
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Citations per field
00.5×1.6×
Paolo Ripellino · 1×
Citations per year

Countries citing papers authored by Peter Wipfler

Since Specialization
Citations

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

Fields of papers citing papers by Peter Wipfler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201353
2 201732
3 202229
4 201028
5 202126
6 201125
7 201225
8 201325
9 202122
10 202021
11 202121
12 202220
13 201720
14 201219
15 201518
16 200817
17 201217
18
Relationship between thrombin generation and carotid intima-media thickness.
201016
19 201316
20 202313

About Peter Wipfler

Peter Wipfler is a scholar working on Pathology and Forensic Medicine, Neurology, Oncology, Immunology and Infectious Diseases, having authored 56 papers that have together received 658 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (35 papers), Peripheral Neuropathies and Disorders (15 papers), Polyomavirus and related diseases (11 papers), Immunotherapy and Immune Responses (11 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Sphingolipid Metabolism and Signaling (6 papers), T-cell and B-cell Immunology (4 papers) and Immune Response and Inflammation (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (362 citations), Neurology (178 citations), Immunology (168 citations), Infectious Diseases (142 citations) and Oncology (166 citations). Peter Wipfler has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Georg Pilz, Andrea Harrer, Eugen Trinka, Jörg Kraus, Elisabeth Haschke‐Becher, Katrin Oppermann, Johann Sellner, Ferdinand Otto, Wolfgang Hitzl and Tobias Moser. Their work appears in journals such as International Journal of Molecular Sciences, Multiple Sclerosis and Related Disorders, Neurology, Multiple Sclerosis Journal and European Journal of 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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