Sascha Trapp

1.9k citations
45 papers · 1.5k · h-index 19

Impact in

Papers in

    • interferon and immune responses 7
    • Immune Response and Inflammation 6
    • T-cell and Retrovirus Studies 5
    • Herpesvirus Infections and Treatments 13
    • Cytomegalovirus and herpesvirus research 12
    • Influenza Virus Research Studies 7

Sascha Trapp

44 papers receiving 1.5k citations

Peers

Sascha Trapp
Comparison fields: 5 of 77
  • Epidemiology 810
  • Agronomy and Crop Science 250
  • Animal Science and Zoology 226
  • Virology 79
  • Immunology 285
Replace Ashok Kumar Tiwari with:
Ashok Kumar Tiwari India
Nico VISSER United States
Sanjay M. Reddy United States
Hao Zheng China
Yanling Yu China
Hua-Ji Qiu China
Lyle D. Miller United States
Mingqiu Zhao China
Zhangyong Ning China
H.C. Minocha United States
Sascha Trapp relative to Ashok Kumar Tiwari India Ashok Kumar Tiwari's profile →
Citations per field
00.5×1.5×2.2×
Ashok Kumar Tiwari · 1×
Citations per year

Countries citing papers authored by Sascha Trapp

Since Specialization
Citations

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

Fields of papers citing papers by Sascha Trapp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006353
2 2004143
3 2006110
4 2005104
5 200690
6 200561
7 201251
8 201048
9 201141
10 202137
11 201037
12 200333
13 200530
14 202228
15 201927
16 201526
17 202425
18 202023
19 201023
20 201819

About Sascha Trapp

Sascha Trapp is a scholar working on Immunology, Epidemiology, Agronomy and Crop Science, Animal Science and Zoology and Virology, having authored 45 papers that have together received 1.5k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (13 papers), Cytomegalovirus and herpesvirus research (12 papers), Animal Disease Management and Epidemiology (8 papers), Influenza Virus Research Studies (7 papers), interferon and immune responses (7 papers), Virus-based gene therapy research (6 papers), Immune Response and Inflammation (6 papers) and T-cell and Retrovirus Studies (5 papers). The work is most often cited by research in Epidemiology (810 citations), Agronomy and Crop Science (250 citations), Animal Science and Zoology (226 citations), Virology (79 citations) and Immunology (285 citations). Sascha Trapp has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Nikolaus Osterrieder, Bernd Karsten Tischer, Daniel Schumacher, Jeremy P. Kamil, Martin Beer, Keith William Jarosinski, Klaus Depner, Ilona Reimann, Venugopal Nair and Benedikt B. Kaufer. Their work appears in journals such as Journal of General Virology, PLoS Pathogens, Journal of Virology, Frontiers in Immunology and Virology.

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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