Wibke Bayer

1.1k total citations
47 papers, 736 citations indexed

About

Wibke Bayer is a scholar working on Immunology, Genetics and Epidemiology. According to data from OpenAlex, Wibke Bayer has authored 47 papers receiving a total of 736 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Immunology, 24 papers in Genetics and 12 papers in Epidemiology. Recurrent topics in Wibke Bayer's work include Virus-based gene therapy research (24 papers), Immunotherapy and Immune Responses (16 papers) and Immune Cell Function and Interaction (15 papers). Wibke Bayer is often cited by papers focused on Virus-based gene therapy research (24 papers), Immunotherapy and Immune Responses (16 papers) and Immune Cell Function and Interaction (15 papers). Wibke Bayer collaborates with scholars based in Germany, United States and France. Wibke Bayer's co-authors include Oliver Wildner, Ulf Dittmer, Dennis Hoffmann, Matthias Tenbusch, Astrid M. Westendorf, Dennis Lapuente, Simone Schimmer, Wiebke Hansen, George Kassiotis and Torben Knuschke and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Wibke Bayer

45 papers receiving 693 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wibke Bayer Germany 17 340 271 250 165 160 47 736
Ernesto Mejías‐Pérez Spain 13 311 0.9× 326 1.2× 135 0.5× 186 1.1× 165 1.0× 19 784
Florian Full Germany 10 333 1.0× 214 0.8× 104 0.4× 223 1.4× 274 1.7× 18 646
Sandesh Subramanya United States 14 179 0.5× 474 1.7× 114 0.5× 97 0.6× 119 0.7× 19 819
Oliver Höhn Germany 15 348 1.0× 347 1.3× 178 0.7× 106 0.6× 100 0.6× 26 863
Mizuho Kajikawa Japan 17 444 1.3× 412 1.5× 124 0.5× 114 0.7× 260 1.6× 40 986
Miika Martikainen Finland 11 198 0.6× 200 0.7× 297 1.2× 272 1.6× 75 0.5× 14 661
Matthias Schroff Germany 16 316 0.9× 306 1.1× 190 0.8× 125 0.8× 115 0.7× 39 685
Lisa Kattenhorn United States 12 230 0.7× 467 1.7× 227 0.9× 231 1.4× 486 3.0× 15 972
Jiangao Zhu United States 11 555 1.6× 385 1.4× 485 1.9× 193 1.2× 213 1.3× 18 1.1k
Frank Wegmann Netherlands 13 269 0.8× 298 1.1× 96 0.4× 69 0.4× 97 0.6× 27 722

Countries citing papers authored by Wibke Bayer

Since Specialization
Citations

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

Fields of papers citing papers by Wibke Bayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wibke Bayer

This figure shows the co-authorship network connecting the top 25 collaborators of Wibke Bayer. A scholar is included among the top collaborators of Wibke Bayer 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 Wibke Bayer. Wibke Bayer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Irrgang, Pascal, Michael Rückert, Carol I. Geppert, et al.. (2024). Mucosal tumor vaccination delivering endogenous tumor antigens protects against pulmonary breast cancer metastases. Journal for ImmunoTherapy of Cancer. 12(3). e008652–e008652. 11 indexed citations
3.
Irrgang, Pascal, et al.. (2024). Filling two needs with one deed: a combinatory mucosal vaccine against influenza A virus and respiratory syncytial virus. Frontiers in Immunology. 15. 1376395–1376395. 1 indexed citations
4.
Bosso, Matteo, Wibke Bayer, Miroslav Mayer, et al.. (2024). A Variety of Mouse PYHIN Proteins Restrict Murine and Human Retroviruses. Viruses. 16(4). 493–493. 1 indexed citations
6.
David, Paul, Tanja Werner, Sandra Francois, et al.. (2022). The Role of the Inhibitory Ligand HVEM and Its Receptors CD160 and BTLA in the Regulation of Anti-retroviral T Cell Responses. SHILAP Revista de lepidopterología. 2.
7.
Stolte, Benjamin, Olivia Schreiber‐Katz, René Günther, et al.. (2022). Prevalence of Anti-Adeno-Associated Virus Serotype 9 Antibodies in Adult Patients with Spinal Muscular Atrophy. Human Gene Therapy. 33(17-18). 968–976. 11 indexed citations
8.
Wang, Xiaoyan, Wenli Zhang, Cornelia Köhler, et al.. (2022). Seroprevalence of Binding and Neutralizing Antibodies against 39 Human Adenovirus Types in Patients with Neuromuscular Disorders. Viruses. 15(1). 79–79. 8 indexed citations
9.
Lapuente, Dennis, Matthias Tenbusch, Mengji Lu, et al.. (2022). Immune suppression of vaccine-induced CD8+ T-cell responses by gamma retrovirus envelope is mediated by interleukin-10-producing CD4+ T cells. Frontiers in Immunology. 13. 934399–934399. 3 indexed citations
11.
Le‐Trilling, Vu Thuy Khanh, et al.. (2019). Immunization with a murine cytomegalovirus based vector encoding retrovirus envelope confers strong protection from Friend retrovirus challenge infection. PLoS Pathogens. 15(9). e1008043–e1008043. 3 indexed citations
12.
Knuschke, Torben, Olga Rotan, Wibke Bayer, et al.. (2018). Induction of Type I Interferons by Therapeutic Nanoparticle-Based Vaccination Is Indispensable to Reinforce Cytotoxic CD8+ T Cell Responses During Chronic Retroviral Infection. Frontiers in Immunology. 9. 614–614. 24 indexed citations
14.
Young, George R., Julia Merkenschlager, Urszula Eksmond, et al.. (2016). Opposing Development of Cytotoxic and Follicular Helper CD4 T Cells Controlled by the TCF-1-Bcl6 Nexus. Cell Reports. 17(6). 1571–1583. 37 indexed citations
15.
Knuschke, Torben, Olga Rotan, Wibke Bayer, et al.. (2016). Combination of nanoparticle-based therapeutic vaccination and transient ablation of regulatory T cells enhances anti-viral immunity during chronic retroviral infection. Retrovirology. 13(1). 24–24. 25 indexed citations
16.
Knuschke, Torben, Wibke Bayer, Olga Rotan, et al.. (2014). Prophylactic and therapeutic vaccination with a nanoparticle-based peptide vaccine induces efficient protective immunity during acute and chronic retroviral infection. Nanomedicine Nanotechnology Biology and Medicine. 10(8). 1787–1798. 43 indexed citations
17.
Wildner, Oliver, et al.. (2013). Interleukin-Encoding Adenoviral Vectors as Genetic Adjuvant for Vaccination against Retroviral Infection. PLoS ONE. 8(12). e82528–e82528. 13 indexed citations
18.
Tenbusch, Matthias, et al.. (2013). Comparison of polystyrene nanoparticles and UV-inactivated antigen-displaying adenovirus for vaccine delivery in mice. Virology Journal. 10(1). 108–108. 16 indexed citations
19.
Nair, Savita, Wibke Bayer, Mickaël J. Ploquin, et al.. (2011). Distinct roles of CD4+T cell subpopulations in retroviral immunity: lessons from the Friend virus mouse model. Retrovirology. 8(1). 76–76. 25 indexed citations
20.
Hesse, Andrea, Wibke Bayer, Christel Herold‐Mende, et al.. (2009). Transgene expression by oncolytic adenoviruses is modulated by E1B19K deletion in a cell type-dependent manner. Virology. 395(2). 243–254. 9 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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