Eva Bartok
Impact in
- Immunology top 2%
- interferon and immune responses
- Immune Response and Inflammation
- Immunotherapy and Immune Responses
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
Papers in
- Immunology 27
- interferon and immune responses 20
- Immune Response and Inflammation 8
- Immunodeficiency and Autoimmune Disorders 2
- Immune Cell Function and Interaction 2
-
- Inflammasome and immune disorders 12
- RNA regulation and disease 3
- RNA Interference and Gene Delivery 3
- Co-authors
- Veit Hornung (12 shared papers)Franz Georg Bauernfeind (6 shared papers)Gunther Hartmann (15 shared papers)Jonathan Leo Schmid-Burgk (3 shared papers)Luigi Franchi (1 shared paper)Gabriel Núñez (1 shared paper)Moritz M. Gaidt (3 shared papers)Sarah Kim-Hellmuth (2 shared papers)
- Journals
- Nature Communications (4 papers)Immunity (4 papers)Molecular Therapy — Nucleic Acids (2 papers)International Journal of Molecular Sciences (2 papers)Cell Reports (2 papers)
- Partner nations
- GermanyBelgiumUnited States
In The Last Decade
Eva Bartok
47 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 119
- Immunology 926
- Modeling and Simulation 157
- Molecular Biology 1.4k
- Infectious Diseases 299
- Nephrology 98
Countries citing papers authored by Eva Bartok
This map shows the geographic impact of Eva Bartok'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 Eva Bartok with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Bartok more than expected).
Fields of papers citing papers by Eva Bartok
This network shows the impact of papers produced by Eva Bartok. 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 Eva Bartok. The network helps show where Eva Bartok may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Bartok, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 556 | |
| 2 | 2010 | 310 | |
| 3 | 2020 | 289 | |
| 4 | 2015 | 274 | |
| 5 | 2015 | 258 | |
| 6 | 2015 | 218 | |
| 7 | 2017 | 188 | |
| 8 | 2016 | 169 | |
| 9 | 2020 | 140 | |
| 10 | 2020 | 107 | |
| 11 | 2021 | 92 | |
| 12 | 2018 | 88 | |
| 13 | 2013 | 65 | |
| 14 | 2013 | 64 | |
| 15 | 2016 | 44 | |
| 16 | 2019 | 32 | |
| 17 | 2021 | 30 | |
| 18 | 2021 | 30 | |
| 19 | 2022 | 29 | |
| 20 | 2018 | 27 |
About Eva Bartok
Eva Bartok is a scholar working on Immunology, Molecular Biology, Infectious Diseases, Oncology and Modeling and Simulation, having authored 49 papers that have together received 3.2k indexed citations. Recurring topics across this work include interferon and immune responses (20 papers), Inflammasome and immune disorders (12 papers), Immune Response and Inflammation (8 papers), RNA regulation and disease (3 papers), RNA Interference and Gene Delivery (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Immunology (926 citations), Modeling and Simulation (157 citations), Molecular Biology (1.4k citations), Infectious Diseases (299 citations) and Nephrology (98 citations). Eva Bartok has collaborated with scholars based in Germany, Belgium and United States. Frequent co-authors include Veit Hornung, Franz Georg Bauernfeind, Gunther Hartmann, Jonathan Leo Schmid-Burgk, Luigi Franchi, Gabriel Núñez, Moritz M. Gaidt, Sarah Kim-Hellmuth, Thomas S. Ebert and Andrea Ablasser. Their work appears in journals such as Nature Communications, Immunity, Molecular Therapy — Nucleic Acids, International Journal of Molecular Sciences and Cell Reports.
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.