Pascal Weber

501 citations
18 papers · 349 · h-index 11

Impact in

  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
  • Biophysics top 10%
    • Advanced Fluorescence Microscopy Techniques

Papers in

Pascal Weber

17 papers receiving 347 citations

Peers

Pascal Weber
Comparison fields: 5 of 86
  • Neurology 65
  • Biophysics 43
  • Developmental Neuroscience 26
  • Cellular and Molecular Neuroscience 78
  • Cell Biology 50
Replace Benjamin Pavie with:
Benjamin Pavie Belgium
Timothy N. Oliver United States
Daisuke Koga Japan
Allison F. Rosenberg United States
Robert J. Ihry United States
Mathieu Fallet France
Denis Avey United States
Chao Yu China
Gian‐Marco Sarra Switzerland
Markus Lanzrein Switzerland
Pascal Weber relative to Benjamin Pavie Belgium Benjamin Pavie's profile →
Citations per field
00.5×4.7×
Benjamin Pavie · 1×
Citations per year

Countries citing papers authored by Pascal Weber

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Weber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201284
2 201337
3 201634
4 201825
5 201323
6 201623
7 201720
8 201719
9 201319
10 202214
11 201714
12
[A rare breast tumor: mammary fibromatosis. Two case reports and a review of the literature].
199710
13 20159
14 20217
15 20126
16
Gelenkteilwechsel in der Hüftarthroplastik. Was dürfen wir kombinieren
20173
17 20112
18 20080

About Pascal Weber

Pascal Weber is a scholar working on Cellular and Molecular Neuroscience, Epidemiology, Neurology, Infectious Diseases and Surgery, having authored 18 papers that have together received 349 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Nerve injury and regeneration (2 papers), Neuroscience and Neural Engineering (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Mycobacterium research and diagnosis (2 papers), Vector-borne infectious diseases (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Neurology (65 citations), Biophysics (43 citations), Developmental Neuroscience (26 citations), Cellular and Molecular Neuroscience (78 citations) and Cell Biology (50 citations). Pascal Weber has collaborated with scholars based in France, Germany and Sweden. Frequent co-authors include Geneviève Rougon, Keith K. Fenrich, Franck Debarbieux, Mélanie Hocine, Didier Raoult, Thorsten Lang, Jan-Gero Schloetel, Michel Drancourt, Christian Kandt and Thomas Schmidt. Their work appears in journals such as The Journal of Physiology, Scientific Reports, eLife, Journal of Visualized Experiments and Journal of Anatomy.

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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