Peter Weiser

938 citations
33 papers · 642 · h-index 14

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immunodeficiency and Autoimmune Disorders
    • Cell Adhesion Molecules Research

Papers in

    • T-cell and B-cell Immunology 8
    • Immune Cell Function and Interaction 6
    • Heparin-Induced Thrombocytopenia and Thrombosis 5

Peter Weiser

30 papers receiving 630 citations

Peers

Peter Weiser
Comparison fields: 5 of 83
  • Immunology 341
  • Immunology and Allergy 50
  • Hematology 76
  • Radiology, Nuclear Medicine and Imaging 148
  • Genetics 51
Replace Gillian A. Kingsbury with:
Gillian A. Kingsbury United States
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Citations per field
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Citations per year

Countries citing papers authored by Peter Weiser

Since Specialization
Citations

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

Fields of papers citing papers by Peter Weiser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993122
2 200663
3 199361
4 199860
5 199356
6 201342
7 199431
8 201028
9 200421
10 199919
11 201017
12 201017
13 201017
14 200816
15 201012
16
[Pharmacokinetics of articaine in mandibular nerve block].
199111
17 201010
18 20109
19 20016
20 20104

About Peter Weiser

Peter Weiser is a scholar working on Immunology, Surgery, Hematology, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 33 papers that have together received 642 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (8 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Immune Cell Function and Interaction (6 papers), Heparin-Induced Thrombocytopenia and Thrombosis (5 papers), Platelet Disorders and Treatments (5 papers), Autoimmune and Inflammatory Disorders Research (4 papers), Cell Adhesion Molecules Research (4 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Immunology (341 citations), Immunology and Allergy (50 citations), Hematology (76 citations), Radiology, Nuclear Medicine and Imaging (148 citations) and Genetics (51 citations). Peter Weiser has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Michael Reth, Gottfried Alber, Xiaodong Zhou, Hong Lu, Yi Qian, Romana Höftberger, Fahmy Aboul‐Enein, Monika Bradl, Hans Lassmann and Rita Carsetti. Their work appears in journals such as Progress in molecular biology and translational science, Diabetes, European Journal of Immunology, Clinical Immunology and The Journal of Immunology.

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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