Eric Ehrke‐Schulz
Impact in
- Genetics top 10%
- Virus-based gene therapy research
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
Papers in
- Genetics 22
- Virus-based gene therapy research 22
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- Cervical Cancer and HPV Research 6
- Hepatitis B Virus Studies 2
- Co-authors
- Anja Ehrhardt (29 shared papers)Thorsten Bergmann (11 shared papers)Wenli Zhang (17 shared papers)Marc Gottschling (5 shared papers)Ingo Nindl (5 shared papers)Eggert Stockfleth (5 shared papers)Jing Liu (2 shared papers)Jian Jun Gao (5 shared papers)
- Journals
- Molecular Therapy — Nucleic Acids (4 papers)Viruses (3 papers)Journal of General Virology (3 papers)Journal of Visualized Experiments (2 papers)Scientific Reports (2 papers)
- Partner nations
- GermanyFranceUnited States
In The Last Decade
Eric Ehrke‐Schulz
33 papers receiving 654 citations
Peers
Comparison fields: 5 of 49
- Genetics 222
- Animal Science and Zoology 68
- Epidemiology 217
- Virology 19
- Molecular Biology 221
Countries citing papers authored by Eric Ehrke‐Schulz
This map shows the geographic impact of Eric Ehrke‐Schulz'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 Eric Ehrke‐Schulz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Ehrke‐Schulz more than expected).
Fields of papers citing papers by Eric Ehrke‐Schulz
This network shows the impact of papers produced by Eric Ehrke‐Schulz. 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 Eric Ehrke‐Schulz. The network helps show where Eric Ehrke‐Schulz may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Ehrke‐Schulz, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 83 | |
| 2 | 2018 | 64 | |
| 3 | 2017 | 55 | |
| 4 | 2011 | 49 | |
| 5 | 2012 | 48 | |
| 6 | 2011 | 42 | |
| 7 | 2018 | 36 | |
| 8 | 2020 | 33 | |
| 9 | 2016 | 24 | |
| 10 | 2009 | 21 | |
| 11 | 2020 | 20 | |
| 12 | 2013 | 19 | |
| 13 | 2009 | 18 | |
| 14 | 2022 | 17 | |
| 15 | 2024 | 17 | |
| 16 | 2016 | 16 | |
| 17 | 2020 | 16 | |
| 18 | 2014 | 15 | |
| 19 | 2016 | 11 | |
| 20 | 2018 | 11 |
About Eric Ehrke‐Schulz
Eric Ehrke‐Schulz is a scholar working on Genetics, Epidemiology, Virology, Animal Science and Zoology and Molecular Biology, having authored 36 papers that have together received 670 indexed citations. Recurring topics across this work include Virus-based gene therapy research (22 papers), CRISPR and Genetic Engineering (8 papers), Cervical Cancer and HPV Research (6 papers), Animal Virus Infections Studies (3 papers), Poxvirus research and outbreaks (3 papers), Hemophilia Treatment and Research (2 papers), Head and Neck Cancer Studies (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Genetics (222 citations), Animal Science and Zoology (68 citations), Epidemiology (217 citations), Virology (19 citations) and Molecular Biology (221 citations). Eric Ehrke‐Schulz has collaborated with scholars based in Germany, France and United States. Frequent co-authors include Anja Ehrhardt, Thorsten Bergmann, Wenli Zhang, Marc Gottschling, Ingo Nindl, Eggert Stockfleth, Jing Liu, Jian Jun Gao, Philip Boehme and Manish Solanki. Their work appears in journals such as Molecular Therapy — Nucleic Acids, Viruses, Journal of General Virology, Journal of Visualized Experiments and Scientific 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.