Sascha Trapp

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

Impact in

Papers in

    • Herpesvirus Infections and Treatments 16
    • Cytomegalovirus and herpesvirus research 12
    • Influenza Virus Research Studies 7
    • interferon and immune responses 7
    • Immune Response and Inflammation 6
    • T-cell and Retrovirus Studies 5

Sascha Trapp

47 papers receiving 1.4k citations

Peers

Sascha Trapp
Comparison fields: 5 of 76
  • Epidemiology 813
  • Agronomy and Crop Science 259
  • Animal Science and Zoology 205
  • Virology 81
  • Immunology 277
Replace Matthias Liniger with:
Matthias Liniger Switzerland
O.‐R. Kaaden Germany
Ashok Kumar Tiwari India
Hao Zheng China
Suresh H. Basagoudanavar India
Hua-Ji Qiu China
L. D. Miller United States
Jianzhong Wang China
Mingqiu Zhao China
Jin Yuan China
Sascha Trapp relative to Matthias Liniger Switzerland Matthias Liniger's profile →
Citations per field
00.5×3.8×
Matthias Liniger · 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 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006330
2 2004140
3 2006103
4 2005102
5 200689
6 200557
7 201249
8 201047
9 201138
10 202137
11 201036
12 200330
13 200528
14 202227
15 201526
16 201925
17 202021
18 201819
19 201019
20 202417

About Sascha Trapp

Sascha Trapp is a scholar working on Epidemiology, Immunology, Agronomy and Crop Science, Animal Science and Zoology and Genetics, having authored 47 papers that have together received 1.5k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (16 papers), Cytomegalovirus and herpesvirus research (12 papers), Animal Disease Management and Epidemiology (9 papers), interferon and immune responses (7 papers), Influenza Virus Research Studies (7 papers), Immune Response and Inflammation (6 papers), Virus-based gene therapy research (6 papers) and T-cell and Retrovirus Studies (5 papers). The work is most often cited by research in Epidemiology (813 citations), Agronomy and Crop Science (259 citations), Animal Science and Zoology (205 citations), Virology (81 citations) and Immunology (277 citations). Sascha Trapp has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Nikolaus Osterrieder, B. Karsten Tischer, Daniel Schumacher, Jeremy P. Kamil, Martin Beer, Keith W. Jarosinski, Klaus Depner, Ilona Reimann, Venugopal Nair and Benedikt B. Kaufer. Their work appears in journals such as PLoS Pathogens, Journal of Virology, Journal of General Virology, Virology and Frontiers in 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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