Susanna Trapp

510 total citations
10 papers, 417 citations indexed

About

Susanna Trapp is a scholar working on Virology, Infectious Diseases and Immunology. According to data from OpenAlex, Susanna Trapp has authored 10 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Virology, 4 papers in Infectious Diseases and 3 papers in Immunology. Recurrent topics in Susanna Trapp's work include HIV Research and Treatment (6 papers), HIV/AIDS drug development and treatment (3 papers) and Immune Cell Function and Interaction (3 papers). Susanna Trapp is often cited by papers focused on HIV Research and Treatment (6 papers), HIV/AIDS drug development and treatment (3 papers) and Immune Cell Function and Interaction (3 papers). Susanna Trapp collaborates with scholars based in Germany, United States and Italy. Susanna Trapp's co-authors include Andreas S. Baur, A. Veronica Witte, Katja Blume, Paola D’Aloja, Bernd Laffert, Annette Schürmann, Stuart Turville, Melissa Robbiani, Andrew E. Shaw and Julian W. Bess and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Journal of Virology.

In The Last Decade

Susanna Trapp

9 papers receiving 412 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Susanna Trapp Germany 8 295 220 119 113 75 10 417
Tara G. Edmonds United States 9 393 1.3× 285 1.3× 146 1.2× 121 1.1× 109 1.5× 9 510
Michael K. P. Liu United Kingdom 10 225 0.8× 312 1.4× 121 1.0× 83 0.7× 67 0.9× 14 504
Josephine Romano United States 10 466 1.6× 269 1.2× 221 1.9× 109 1.0× 99 1.3× 12 526
Natacha Bitton France 6 269 0.9× 346 1.6× 69 0.6× 145 1.3× 84 1.1× 6 516
Veronica Iannucci Belgium 7 215 0.7× 157 0.7× 109 0.9× 102 0.9× 60 0.8× 9 337
J F Zagury France 8 230 0.8× 153 0.7× 81 0.7× 82 0.7× 73 1.0× 9 326
Marine Malbec France 6 312 1.1× 252 1.1× 98 0.8× 54 0.5× 83 1.1× 7 384
Lishan Su United States 11 294 1.0× 273 1.2× 109 0.9× 89 0.8× 84 1.1× 12 443
Thomas Vollbrecht United States 11 175 0.6× 255 1.2× 100 0.8× 125 1.1× 55 0.7× 20 423
Leila Remling‐Mulder United States 11 265 0.9× 150 0.7× 168 1.4× 117 1.0× 73 1.0× 25 446

Countries citing papers authored by Susanna Trapp

Since Specialization
Citations

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

Fields of papers citing papers by Susanna Trapp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Susanna Trapp

This figure shows the co-authorship network connecting the top 25 collaborators of Susanna Trapp. A scholar is included among the top collaborators of Susanna Trapp based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Susanna Trapp. Susanna Trapp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Platten, Martin, Norma Jung, Susanna Trapp, et al.. (2016). Cytokine and Chemokine Signature in Elite Versus Viremic Controllers Infected with HIV. AIDS Research and Human Retroviruses. 32(6). 579–587. 13 indexed citations
2.
Trapp, Susanna, et al.. (2015). Für den Ernstfall gerüstet. intensiv. 23(3). 133–139.
3.
Adini, Bruria, Susanna Trapp, Stefan Schilling, et al.. (2014). Continued Vigilance – Development of an Online Evaluation Tool for Assessing Preparedness of Medical Facilities for Biological Events. Frontiers in Public Health. 2. 35–35. 7 indexed citations
4.
Trapp, Susanna, et al.. (2013). So viel Wissen muss sein!. intensiv. 21(2). 65–69. 1 indexed citations
5.
Heger, Eva, Alexander Thielen, Martin Obermeier, et al.. (2011). APOBEC3G/F as one possible driving force for co-receptor switch of the human immunodeficiency virus-1. Medical Microbiology and Immunology. 201(1). 7–16. 7 indexed citations
6.
Trapp, Susanna, Nina Derby, Andrew E. Shaw, et al.. (2008). Double-Stranded RNA Analog Poly(I:C) Inhibits Human Immunodeficiency Virus Amplification in Dendritic Cells via Type I Interferon-Mediated Activation of APOBEC3G. Journal of Virology. 83(2). 884–895. 60 indexed citations
7.
Wolf, Dietlinde, A. Veronica Witte, Ellen Krautkrämer, et al.. (2007). Novel (n)PKC kinases phosphorylate Nef for increased HIV transcription, replication and perinuclear targeting. Virology. 370(1). 45–54. 34 indexed citations
8.
Trapp, Susanna, Stuart Turville, & Melissa Robbiani. (2006). Slamming the door on unwanted guests: why preemptive strikes at the mucosa may be the best strategy against HIV. Journal of Leukocyte Biology. 80(5). 1076–1083. 15 indexed citations
9.
Schiavoni, Ilaria, et al.. (2004). HIV-1 Nef Enhances Both Membrane Expression and Virion Incorporation of Env Products. Journal of Biological Chemistry. 279(22). 22996–23006. 37 indexed citations
10.
Witte, A. Veronica, Bernd Laffert, Katja Blume, et al.. (2001). HIV-1 Nef associated PAK and PI3-Kinases stimulate Akt-independent Bad-phosphorylation to induce anti-apoptotic signals. Nature Medicine. 7(11). 1217–1224. 243 indexed citations

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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