Simon Danisch

1.1k citations
11 papers · 872 · h-index 10

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
  • Oncology top 10%
    • CAR-T cell therapy research

Papers in

    • Immune Cell Function and Interaction 5
    • Immunotherapy and Immune Responses 3
    • T-cell and B-cell Immunology 3
    • interferon and immune responses 2
    • Cytomegalovirus and herpesvirus research 5
    • Herpesvirus Infections and Treatments 3
    • Influenza Virus Research Studies 2

Simon Danisch

11 papers receiving 858 citations

Peers

Simon Danisch
Comparison fields: 5 of 77
  • Infectious Diseases 322
  • Oncology 304
  • Immunology 205
  • Epidemiology 183
  • Animal Science and Zoology 57
Replace Susan E. Burkett with:
Susan E. Burkett United States
Petra Adams‐Quack Germany
Joseph S. Bednash United States
Carina Saggau Germany
Dana Briesemeister Germany
Ann‐Kathrin Reuschl United Kingdom
Jiajia Xie China
Lucie Loyal Germany
Tanya A. Miura United States
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Citations per field
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Susan E. Burkett · 1×
Citations per year

Countries citing papers authored by Simon Danisch

Since Specialization
Citations

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

Fields of papers citing papers by Simon Danisch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2012335
2 2018176
3 2010173
4 202066
5 202129
6 201828
7 201121
8 202019
9 201213
10 201811
11 20231

About Simon Danisch

Simon Danisch is a scholar working on Immunology, Epidemiology, Oncology, Parasitology and Pathology and Forensic Medicine, having authored 11 papers that have together received 872 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (5 papers), Immune Cell Function and Interaction (5 papers), Herpesvirus Infections and Treatments (3 papers), Viral-associated cancers and disorders (3 papers), Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (3 papers), Influenza Virus Research Studies (2 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Infectious Diseases (322 citations), Oncology (304 citations), Immunology (205 citations), Epidemiology (183 citations) and Animal Science and Zoology (57 citations). Simon Danisch has collaborated with scholars based in Germany, United Kingdom and Slovakia. Frequent co-authors include Elizabeth Jane Soilleux, Stephanie Bertram, Stefan Pöhlmann, Hayley Lavender, Peter Nelson, Paula Monteiro Perin, Stefanie Gierer, Jared M. Lucas, Renata Stripecke and Winfried S. Wels. Their work appears in journals such as Immunobiology, Journal of Biological Chemistry, PLoS Pathogens, Molecular Therapy — Oncolytics and Frontiers in Oncology.

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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