Ralf Bartenschlager

1.3k total citations
9 papers, 813 citations indexed

About

Ralf Bartenschlager is a scholar working on Infectious Diseases, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Ralf Bartenschlager has authored 9 papers receiving a total of 813 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 3 papers in Epidemiology and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Ralf Bartenschlager's work include SARS-CoV-2 and COVID-19 Research (3 papers), Mosquito-borne diseases and control (3 papers) and Autophagy in Disease and Therapy (2 papers). Ralf Bartenschlager is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), Mosquito-borne diseases and control (3 papers) and Autophagy in Disease and Therapy (2 papers). Ralf Bartenschlager collaborates with scholars based in Germany, United States and France. Ralf Bartenschlager's co-authors include Abhilash I. Chiramel, Nathan Brady, Mirko Cortese, Steeve Boulant, Sergio Triana, Theodore Alexandrov, Megan L. Stanifer, H.-G. Kraeusslich, Carmon Kee and Markus Mukenhirn and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Hepatology and Cell Host & Microbe.

In The Last Decade

Ralf Bartenschlager

8 papers receiving 806 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ralf Bartenschlager Germany 7 333 261 248 168 112 9 813
Mohsan Saeed United States 19 451 1.4× 402 1.5× 322 1.3× 146 0.9× 434 3.9× 44 1.1k
Simone La Frazia Italy 11 233 0.7× 319 1.2× 151 0.6× 175 1.0× 26 0.2× 21 657
Jiajia Xie China 12 457 1.4× 118 0.5× 314 1.3× 115 0.7× 41 0.4× 29 862
Lucie Fénéant France 13 195 0.6× 161 0.6× 129 0.5× 68 0.4× 136 1.2× 21 519
Punya Shrivastava-Ranjan United States 15 677 2.0× 237 0.9× 298 1.2× 109 0.6× 18 0.2× 25 1.1k
Sudip Khadka United States 7 310 0.9× 159 0.6× 252 1.0× 103 0.6× 63 0.6× 15 829
Amornrat O’Brien United States 12 495 1.5× 77 0.3× 165 0.7× 150 0.9× 56 0.5× 20 731
Victor C. Chu United States 12 806 2.4× 250 1.0× 366 1.5× 132 0.8× 29 0.3× 17 1.3k
Kathrin Welsch Germany 8 534 1.6× 150 0.6× 120 0.5× 111 0.7× 51 0.5× 8 734
Herwig Koppensteiner Germany 16 218 0.7× 154 0.6× 343 1.4× 278 1.7× 30 0.3× 25 1.0k

Countries citing papers authored by Ralf Bartenschlager

Since Specialization
Citations

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

Fields of papers citing papers by Ralf Bartenschlager

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ralf Bartenschlager

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

All Works

9 of 9 papers shown
1.
Neuman, Benjamin W., Redmond P. Smyth, Dmitry V. Samborskiy, et al.. (2025). Giant RNA genomes: Roles of host, translation elongation, genome architecture, and proteome in nidoviruses. Proceedings of the National Academy of Sciences. 122(7). e2413675122–e2413675122. 3 indexed citations
2.
Bartenschlager, Ralf. (2022). Kurzübersicht des SARS-Coronavirus-2-Vermehrungszyklus. BIOspektrum. 28(1). 47–49.
3.
Lee, Ji‐Young, Heeyoung Kim, Vibhu Prasad, et al.. (2021). Contribution of autophagy machinery factors to HCV and SARS-CoV-2 replication organelle formation. Cell Reports. 37(8). 110049–110049. 77 indexed citations
4.
Loconte, Valentina, Jian-Hua Chen, Mirko Cortese, et al.. (2021). Using soft X-ray tomography for rapid whole-cell quantitative imaging of SARS-CoV-2-infected cells. Cell Reports Methods. 1(7). 100117–100117. 27 indexed citations
5.
Kim, Heeyoung, John C. Widen, Brett M. Babin, et al.. (2021). Challenges for Targeting SARS-CoV-2 Proteases as a Therapeutic Strategy for COVID-19. ACS Infectious Diseases. 7(6). 1457–1468. 72 indexed citations
6.
Stanifer, Megan L., Carmon Kee, Mirko Cortese, et al.. (2020). Critical Role of Type III Interferon in Controlling SARS-CoV-2 Infection in Human Intestinal Epithelial Cells. Cell Reports. 32(1). 107863–107863. 226 indexed citations
7.
Zhang, Zhenfeng, Yi Ni, Holger Sültmann, et al.. (2018). Hepatitis D virus replication is sensed by MDA5 and induces IFN-β/λ responses in hepatocytes. Journal of Hepatology. 69(1). 25–35. 103 indexed citations
8.
Chiramel, Abhilash I., Nathan Brady, & Ralf Bartenschlager. (2013). Divergent Roles of Autophagy in Virus Infection. Cells. 2(1). 83–104. 157 indexed citations
9.
Ruggieri, Alessia, Eva Dazert, Philippe Metz, et al.. (2012). Dynamic Oscillation of Translation and Stress Granule Formation Mark the Cellular Response to Virus Infection. Cell Host & Microbe. 12(1). 71–85. 148 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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