Eva Heger
Impact in
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- HIV/AIDS drug development and treatment
- COVID-19 Clinical Research Studies
- Virology top 5%
- HIV Research and Treatment
Papers in
-
- HIV/AIDS drug development and treatment 16
- SARS-CoV-2 and COVID-19 Research 12
- SARS-CoV-2 detection and testing 8
- COVID-19 Clinical Research Studies 7
- Virology 11
- HIV Research and Treatment 11
- Co-authors
- Rolf Kaiser (32 shared papers)Elena Knops (24 shared papers)Veronica Di Cristanziano (22 shared papers)Florian Klein (22 shared papers)Saleta Sierra (8 shared papers)Thomas Lengauer (8 shared papers)Clara Lehmann (14 shared papers)Martin Obermeier (5 shared papers)
In The Last Decade
Eva Heger
49 papers receiving 628 citations
Peers
Comparison fields: 5 of 75
- Infectious Diseases 337
- Virology 81
- Hepatology 101
- Animal Science and Zoology 67
- Epidemiology 132
Countries citing papers authored by Eva Heger
This map shows the geographic impact of Eva Heger'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 Heger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Heger more than expected).
Fields of papers citing papers by Eva Heger
This network shows the impact of papers produced by Eva Heger. 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 Heger. The network helps show where Eva Heger may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Heger, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 87 | |
| 2 | 2020 | 52 | |
| 3 | 2021 | 45 | |
| 4 | 2017 | 40 | |
| 5 | 2020 | 37 | |
| 6 | 2019 | 30 | |
| 7 | 2021 | 28 | |
| 8 | 2018 | 28 | |
| 9 | 2021 | 26 | |
| 10 | 2021 | 19 | |
| 11 | 2020 | 16 | |
| 12 | 2022 | 15 | |
| 13 | 2020 | 15 | |
| 14 | 2023 | 14 | |
| 15 | 2022 | 14 | |
| 16 | 2011 | 14 | |
| 17 | 2022 | 12 | |
| 18 | 2020 | 10 | |
| 19 | 2021 | 9 | |
| 20 | 2024 | 9 |
About Eva Heger
Eva Heger is a scholar working on Infectious Diseases, Virology, Epidemiology, Hepatology and Animal Science and Zoology, having authored 54 papers that have together received 640 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (16 papers), SARS-CoV-2 and COVID-19 Research (12 papers), HIV Research and Treatment (11 papers), Hepatitis C virus research (8 papers), SARS-CoV-2 detection and testing (8 papers), COVID-19 Clinical Research Studies (7 papers), Animal Virus Infections Studies (5 papers) and Hepatitis B Virus Studies (4 papers). The work is most often cited by research in Infectious Diseases (337 citations), Virology (81 citations), Hepatology (101 citations), Animal Science and Zoology (67 citations) and Epidemiology (132 citations). Eva Heger has collaborated with scholars based in Germany, Italy and Slovakia. Frequent co-authors include Rolf Kaiser, Elena Knops, Veronica Di Cristanziano, Florian Klein, Saleta Sierra, Thomas Lengauer, Clara Lehmann, Martin Obermeier, Prabhav Kalaghatgi and Jörg Timm. Their work appears in journals such as Viruses, Journal of Clinical Virology, HIV Medicine, PLoS ONE and The Journal of Infectious Diseases.
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.