Eva Heger
Impact in
- Virology top 5%
- HIV Research and Treatment
- 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
- HIV/AIDS Research and Interventions
Papers in
-
- SARS-CoV-2 and COVID-19 Research 14
- HIV/AIDS drug development and treatment 12
- SARS-CoV-2 detection and testing 11
- COVID-19 Clinical Research Studies 4
- Virology 20
- HIV Research and Treatment 16
- Poxvirus research and outbreaks 4
- Co-authors
- Rolf Kaiser (37 shared papers)Elena Knops (27 shared papers)Veronica Di Cristanziano (24 shared papers)Florian Klein (20 shared papers)Saleta Sierra (10 shared papers)Thomas Lengauer (9 shared papers)Martin Obermeier (6 shared papers)Jörg Timm (5 shared papers)
- Journals
- Viruses (7 papers)Journal of Clinical Virology (6 papers)HIV Medicine (4 papers)Nature Medicine (3 papers)PLoS ONE (3 papers)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Eva Heger
70 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 83
- Virology 209
- Infectious Diseases 581
- Hepatology 203
- Modeling and Simulation 34
- Epidemiology 90
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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 118 | |
| 2 | 2023 | 113 | |
| 3 | 2016 | 101 | |
| 4 | 2016 | 58 | |
| 5 | 2020 | 56 | |
| 6 | 2021 | 54 | |
| 7 | 2020 | 46 | |
| 8 | 2017 | 43 | |
| 9 | 2019 | 38 | |
| 10 | 2018 | 31 | |
| 11 | 2019 | 30 | |
| 12 | 2021 | 30 | |
| 13 | 2021 | 29 | |
| 14 | 2021 | 26 | |
| 15 | 2025 | 23 | |
| 16 | 2022 | 22 | |
| 17 | 2021 | 21 | |
| 18 | 2022 | 21 | |
| 19 | 2020 | 20 | |
| 20 | 2020 | 20 |
About Eva Heger
Eva Heger is a scholar working on Infectious Diseases, Virology, Hepatology, Modeling and Simulation and Epidemiology, having authored 77 papers that have together received 1.2k indexed citations. Recurring topics across this work include HIV Research and Treatment (16 papers), SARS-CoV-2 and COVID-19 Research (14 papers), HIV/AIDS drug development and treatment (12 papers), SARS-CoV-2 detection and testing (11 papers), Hepatitis C virus research (9 papers), Cytomegalovirus and herpesvirus research (5 papers), COVID-19 Clinical Research Studies (4 papers) and Poxvirus research and outbreaks (4 papers). The work is most often cited by research in Virology (209 citations), Infectious Diseases (581 citations), Hepatology (203 citations), Modeling and Simulation (34 citations) and Epidemiology (90 citations). Eva Heger has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Rolf Kaiser, Elena Knops, Veronica Di Cristanziano, Florian Klein, Saleta Sierra, Thomas Lengauer, Martin Obermeier, Jörg Timm, Andreas Walker and Clara Lehmann. Their work appears in journals such as Viruses, Journal of Clinical Virology, HIV Medicine, Nature Medicine and PLoS ONE.
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.