Stephanie Erbar

24 total papers · 2.8k total citations
16 papers, 905 citations indexed

About

Stephanie Erbar is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Stephanie Erbar has authored 16 papers receiving a total of 905 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 7 papers in Infectious Diseases and 7 papers in Molecular Biology. Recurrent topics in Stephanie Erbar's work include Virology and Viral Diseases (8 papers), RNA Interference and Gene Delivery (6 papers) and Animal Virus Infections Studies (6 papers). Stephanie Erbar is often cited by papers focused on Virology and Viral Diseases (8 papers), RNA Interference and Gene Delivery (6 papers) and Animal Virus Infections Studies (6 papers). Stephanie Erbar collaborates with scholars based in Germany, United Kingdom and Denmark. Stephanie Erbar's co-authors include Uğur Şahin, Annette B. Vogel, Tim Beißert, Andrea Maisner, Mario Perković, John S. Tregoning, Kerstin C. Reuter, Laura Lambert, David C. Busse and Ekaterina Kinnear and has published in prestigious journals such as Nature Nanotechnology, Journal of Virology and Scientific Reports.

In The Last Decade

Stephanie Erbar

16 papers receiving 869 citations

Hit Papers

Self-Amplifying RNA Vacci... 2017 2026 2020 2023 2017 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Stephanie Erbar 507 415 244 235 186 16 905
David K. Cureton 420 0.8× 318 0.8× 168 0.7× 259 1.1× 245 1.3× 12 1.0k
Natasha Kushnir 518 1.0× 305 0.7× 277 1.1× 183 0.8× 101 0.5× 19 1.1k
Margit Schnee 572 1.1× 360 0.9× 316 1.3× 255 1.1× 164 0.9× 8 922
Anastassia V. Komarova 480 0.9× 235 0.6× 238 1.0× 179 0.8× 194 1.0× 30 883
V. Juillard 283 0.6× 234 0.6× 245 1.0× 171 0.7× 323 1.7× 21 872
Puck B. van Kasteren 300 0.6× 442 1.1× 354 1.5× 210 0.9× 121 0.7× 32 990
Maria Cândida M. Mellado 309 0.6× 296 0.7× 169 0.7× 202 0.9× 114 0.6× 10 779
Cinzia Giovani 546 1.1× 292 0.7× 275 1.1× 163 0.7× 99 0.5× 12 824
Jonathan Smith 251 0.5× 456 1.1× 201 0.8× 210 0.9× 135 0.7× 29 954
Louis-Marie Bloyet 317 0.6× 742 1.8× 139 0.6× 274 1.2× 83 0.4× 23 1.1k

Countries citing papers authored by Stephanie Erbar

Since Specialization
Citations

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

Fields of papers citing papers by Stephanie Erbar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephanie Erbar

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

All Works

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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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