Oliver Ast

1.4k citations
11 papers · 531 · h-index 7

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune cells in cancer
    • Immunotherapy and Immune Responses
    • Phagocytosis and Immune Regulation
    • Polyomavirus and related diseases
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

Oliver Ast

11 papers receiving 519 citations

Peers

Oliver Ast
Comparison fields: 5 of 72
  • Immunology 294
  • Oncology 196
  • Infectious Diseases 55
  • Genetics 65
  • Biotechnology 18
Replace Yasushi Akahori with:
Yasushi Akahori Japan
Jaroslav Hollý United States
Meijie Tian United States
Raquel P. Deering United States
Sohel Talib United States
Gideon Gross Israel
Maria Yurchenko Ukraine
S L Giardina United States
Zhen Yan China
Oliver Ast relative to Yasushi Akahori Japan Yasushi Akahori's profile →
Citations per field
00.5×1.5×2.3×
Yasushi Akahori · 1×
Citations per year

Countries citing papers authored by Oliver Ast

Since Specialization
Citations

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

Fields of papers citing papers by Oliver Ast

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2018153
2 2018104
3 1999103
4 201469
5 200839
6
The use of virus-like particles for gene transfer.
200337
7 200616
8 19984
9
Pharmacogenomics of HIV.
20044
10 20151
11 20151

About Oliver Ast

Oliver Ast is a scholar working on Infectious Diseases, Oncology, Immunology, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging, having authored 11 papers that have together received 531 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), Viral Infections and Immunology Research (3 papers), HIV Research and Treatment (2 papers), HIV/AIDS drug development and treatment (2 papers), T-cell and B-cell Immunology (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Immune Cell Function and Interaction (2 papers) and Field-Flow Fractionation Techniques (1 paper). The work is most often cited by research in Immunology (294 citations), Oncology (196 citations), Infectious Diseases (55 citations), Genetics (65 citations) and Biotechnology (18 citations). Oliver Ast has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Harald Petry, Wolfgang Lüke, Anne Freimoser–Grundschober, Pablo Umaña, Ralf J. Hosse, Inja Waldhauer, Sarah Howlett, Linda S. Wicker, Marcin Ł. Pękalski and Laurence B. Peterson. Their work appears in journals such as Journal of Autoimmunity, Journal of Interferon & Cytokine Research, European Journal of Cancer, The Journal of Experimental Medicine and Analytical Biochemistry.

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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