Peter Wurst

1.9k citations
10 papers · 1.6k · 1 hit paper · h-index 8

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
    • Immune Response and Inflammation
  • Biophysics top 5%

Papers in

Peter Wurst

10 papers receiving 1.5k citations

Peter Wurst's Hit Papers

Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition) 2019 · 799 citations
7990+2+4Years since publication250500750

Peers

Peter Wurst
Comparison fields: 5 of 128
  • Immunology 682
  • Biophysics 61
  • Oncology 243
  • Molecular Biology 507
  • Cancer Research 94
Replace Yu Patrick Shi with:
Yu Patrick Shi United States
Julia Tornack Germany
Beatriz Jávega Spain
Annika Wiedemann Germany
Joe Trotter United States
Tobit D. Steinmetz Germany
Sharon Sanderson United Kingdom
Anouk von Borstel Australia
Alice Yue Canada
Anastasia Gangaev Netherlands
Peter Wurst relative to Yu Patrick Shi United States Yu Patrick Shi's profile →
Citations per field
00.5×1.5×2×2.3×
Yu Patrick Shi · 1×
Citations per year

Countries citing papers authored by Peter Wurst

Since Specialization
Citations

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

Fields of papers citing papers by Peter Wurst

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
Guidelines for the use of flow cytometry and cell sorting in immunological studies (second edition)
Hit paper breakdown →
2019799
2 2017463
3 200974
4 201357
5 200852
6 201045
7 201942
8 201021
9 20226
10 20166

About Peter Wurst

Peter Wurst is a scholar working on Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine, Immunology, Developmental Neuroscience and Molecular Biology, having authored 10 papers that have together received 1.6k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (3 papers), T-cell and B-cell Immunology (2 papers), Cancer-related gene regulation (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Hedgehog Signaling Pathway Studies (2 papers), Immune Cell Function and Interaction (2 papers), Lichen and fungal ecology (1 paper) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Immunology (682 citations), Biophysics (61 citations), Oncology (243 citations), Molecular Biology (507 citations) and Cancer Research (94 citations). Peter Wurst has collaborated with scholars based in Germany, Sweden and Japan. Frequent co-authors include Elmar Endl, Wolfgang Hartmann, Nicolaus Friedrichs, Reinhard Buettner, Jan Nils Küchler, Torsten Pietsch, Arend Koch, Susanne Steiner, Anke Waha and Akira Kawai. Their work appears in journals such as European Journal of Immunology, International Journal of Cancer, The Journal of Pathology, Cancer Research and Radiocarbon.

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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