Eva Bartok
Impact in
- Immunology top 5%
- interferon and immune responses
- Immune Response and Inflammation
- IL-33, ST2, and ILC Pathways
- Immune Cell Function and Interaction
- Nephrology top 5%
- Gout, Hyperuricemia, Uric Acid
Papers in
- Immunology 27
- interferon and immune responses 18
- Immune Response and Inflammation 11
- Immune Cell Function and Interaction 8
- IL-33, ST2, and ILC Pathways 3
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- Inflammasome and immune disorders 13
- RNA modifications and cancer 3
- Co-authors
- Veit Hornung (12 shared papers)Franz Bauernfeind (6 shared papers)Gunther Hartmann (16 shared papers)Jonathan L. Schmid‐Burgk (3 shared papers)Luigi Franchi (1 shared paper)Gabriel Núñez (1 shared paper)Tobias Schmidt (2 shared papers)Moritz M. Gaidt (2 shared papers)
- Journals
- Scientific Reports (2 papers)Immunity (2 papers)International Journal of Molecular Sciences (2 papers)Signal Transduction and Targeted Therapy (2 papers)Molecular Therapy — Nucleic Acids (2 papers)
- Partner nations
- GermanyBelgiumUnited States
In The Last Decade
Eva Bartok
30 papers receiving 2.1k citations
Eva Bartok's Hit Papers
Peers
Comparison fields: 5 of 99
- Immunology 898
- Nephrology 195
- Molecular Biology 1.5k
- Biological Psychiatry 36
- Infectious Diseases 214
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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cutting Edge: Reactive Oxygen Species Inhibitors Block Priming, but Not Activation, of the NLRP3 Inflammasome Hit paper breakdown → | 2011 | 532 |
| 2 | 2010 | 301 | |
| 3 | 2015 | 256 | |
| 4 | 2015 | 222 | |
| 5 | 2016 | 161 | |
| 6 | 2020 | 110 | |
| 7 | 2018 | 77 | |
| 8 | 2021 | 75 | |
| 9 | 2013 | 59 | |
| 10 | 2013 | 51 | |
| 11 | 2016 | 43 | |
| 12 | 2018 | 26 | |
| 13 | 2019 | 25 | |
| 14 | 2021 | 23 | |
| 15 | 2022 | 22 | |
| 16 | 2021 | 15 | |
| 17 | 2018 | 14 | |
| 18 | 2023 | 12 | |
| 19 | 2022 | 9 | |
| 20 | 2010 | 8 |
About Eva Bartok
Eva Bartok is a scholar working on Immunology, Molecular Biology, Infectious Diseases, Epidemiology and Surgery, having authored 35 papers that have together received 2.1k indexed citations. Recurring topics across this work include interferon and immune responses (18 papers), Inflammasome and immune disorders (13 papers), Immune Response and Inflammation (11 papers), Immune Cell Function and Interaction (8 papers), COVID-19 Clinical Research Studies (3 papers), IL-33, ST2, and ILC Pathways (3 papers), RNA modifications and cancer (3 papers) and Nanoplatforms for cancer theranostics (2 papers). The work is most often cited by research in Immunology (898 citations), Nephrology (195 citations), Molecular Biology (1.5k citations), Biological Psychiatry (36 citations) and Infectious Diseases (214 citations). Eva Bartok has collaborated with scholars based in Germany, Belgium and United States. Frequent co-authors include Veit Hornung, Franz Bauernfeind, Gunther Hartmann, Jonathan L. Schmid‐Burgk, Luigi Franchi, Gabriel Núñez, Tobias Schmidt, Moritz M. Gaidt, Andrea Ablasser and Sarah Kim-Hellmuth. Their work appears in journals such as Scientific Reports, Immunity, International Journal of Molecular Sciences, Signal Transduction and Targeted Therapy and Molecular Therapy — Nucleic Acids.
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.