Janina Bruening

480 total citations
11 papers, 313 citations indexed

About

Janina Bruening is a scholar working on Hepatology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Janina Bruening has authored 11 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Hepatology, 4 papers in Infectious Diseases and 3 papers in Epidemiology. Recurrent topics in Janina Bruening's work include Hepatitis C virus research (6 papers), HIV Research and Treatment (2 papers) and Hepatitis B Virus Studies (2 papers). Janina Bruening is often cited by papers focused on Hepatitis C virus research (6 papers), HIV Research and Treatment (2 papers) and Hepatitis B Virus Studies (2 papers). Janina Bruening collaborates with scholars based in Germany, France and Sweden. Janina Bruening's co-authors include Gisa Gerold, Thomas Pietschmann, Eike Steinmann, Daniel Tödt, Toni Luise Meister, Florian W. R. Vondran, Lars Kaderali, Felix Meissner, Abdul Ghafoor Khan and Joseph Marcotrigiano and has published in prestigious journals such as Journal of Hepatology, PLoS Pathogens and Cell Reports.

In The Last Decade

Janina Bruening

11 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Janina Bruening Germany 8 169 108 101 55 46 11 313
Sreedhar Chinnaswamy India 12 177 1.0× 113 1.0× 123 1.2× 85 1.5× 21 0.5× 25 370
Virginia Chu United States 6 176 1.0× 65 0.6× 115 1.1× 150 2.7× 36 0.8× 6 368
Arnab Basu United States 11 152 0.9× 173 1.6× 275 2.7× 111 2.0× 31 0.7× 13 473
Matthew Bentham United Kingdom 8 117 0.7× 87 0.8× 119 1.2× 102 1.9× 29 0.6× 11 365
Jose A. Garcia-Rivera United States 11 185 1.1× 139 1.3× 161 1.6× 178 3.2× 24 0.5× 18 426
Peiqi Yin China 10 50 0.3× 89 0.8× 91 0.9× 142 2.6× 51 1.1× 29 341
Weiping Qin Japan 5 227 1.3× 56 0.5× 166 1.6× 137 2.5× 10 0.2× 7 341
John Law Canada 11 169 1.0× 45 0.4× 148 1.5× 90 1.6× 8 0.2× 16 325
Florence Dô Canada 9 120 0.7× 159 1.5× 219 2.2× 108 2.0× 10 0.2× 12 448
Philip D. Yin United States 9 121 0.7× 92 0.9× 144 1.4× 68 1.2× 6 0.1× 14 299

Countries citing papers authored by Janina Bruening

Since Specialization
Citations

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

Fields of papers citing papers by Janina Bruening

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janina Bruening

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

All Works

11 of 11 papers shown
1.
Bruening, Janina, Dorothea Bankwitz, Martina Friesland, et al.. (2024). Landscape of protein-protein interactions during hepatitis C virus assembly and release. Microbiology Spectrum. 12(2). e0256222–e0256222. 1 indexed citations
2.
Funke, Benjamin, et al.. (2020). High prevalence of recreational and illicit drug use in German people living with HIV with a potential for drug–drug interactions with antiretroviral therapy. International Journal of STD & AIDS. 32(1). 75–82. 5 indexed citations
3.
Meister, Toni Luise, Janina Bruening, Daniel Tödt, & Eike Steinmann. (2019). Cell culture systems for the study of hepatitis E virus. Antiviral Research. 163. 34–49. 62 indexed citations
4.
Bruening, Janina, Carine Marinach, Florian W. R. Vondran, et al.. (2018). Hepatitis C virus enters liver cells using the CD81 receptor complex proteins calpain-5 and CBLB. PLoS Pathogens. 14(7). e1007111–e1007111. 43 indexed citations
5.
Bruening, Janina, et al.. (2018). CD81 Receptor Regions outside the Large Extracellular Loop Determine Hepatitis C Virus Entry into Hepatoma Cells. Viruses. 10(4). 207–207. 11 indexed citations
6.
Bankwitz, Dorothea, Kathrin Hueging, Romy Weller, et al.. (2017). Maturation of secreted HCV particles by incorporation of secreted ApoE protects from antibodies by enhancing infectivity. Journal of Hepatology. 67(3). 480–489. 47 indexed citations
7.
Gerold, Gisa, et al.. (2017). Protein Interactions during the Flavivirus and Hepacivirus Life Cycle. Molecular & Cellular Proteomics. 16(4). S75–S91. 47 indexed citations
8.
Bruening, Janina, et al.. (2017). The Role of Type III Interferons in Hepatitis C Virus Infection and Therapy. Journal of Immunology Research. 2017. 1–12. 25 indexed citations
10.
Gerold, Gisa, Janina Bruening, & Thomas Pietschmann. (2015). Decoding protein networks during virus entry by quantitative proteomics. Virus Research. 218. 25–39. 22 indexed citations
11.
Gerold, Gisa, Felix Meissner, Janina Bruening, et al.. (2015). Quantitative Proteomics Identifies Serum Response Factor Binding Protein 1 as a Host Factor for Hepatitis C Virus Entry. Cell Reports. 12(5). 864–878. 49 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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