Eric Ehrke‐Schulz
Impact in
- Genetics top 10%
- Virus-based gene therapy research
Papers in
-
- CRISPR and Genetic Engineering 15
- Viral Infectious Diseases and Gene Expression in Insects 10
- RNA Interference and Gene Delivery 4
- Genetics 22
- Virus-based gene therapy research 21
- Co-authors
- Anja Ehrhardt (28 shared papers)Thorsten Bergmann (11 shared papers)Wenli Zhang (16 shared papers)Eggert Stockfleth (5 shared papers)Marc Gottschling (5 shared papers)Ingo Nindl (5 shared papers)Jing Liu (2 shared papers)Philip Boehme (4 shared papers)
- Journals
- Molecular Therapy — Nucleic Acids (4 papers)Viruses (3 papers)Journal of General Virology (3 papers)Cancers (2 papers)The Journal of Gene Medicine (2 papers)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Eric Ehrke‐Schulz
33 papers receiving 600 citations
Peers
Comparison fields: 5 of 56
- Business and International Management 23
- Genetics 265
- Epidemiology 195
- Aging 10
- Molecular Biology 349
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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 77 | |
| 2 | 2018 | 61 | |
| 3 | 2017 | 49 | |
| 4 | 2011 | 47 | |
| 5 | 2011 | 40 | |
| 6 | 2012 | 40 | |
| 7 | 2018 | 31 | |
| 8 | 2020 | 31 | |
| 9 | 2016 | 24 | |
| 10 | 2009 | 20 | |
| 11 | 2013 | 18 | |
| 12 | 2020 | 16 | |
| 13 | 2016 | 16 | |
| 14 | 2024 | 15 | |
| 15 | 2022 | 15 | |
| 16 | 2009 | 15 | |
| 17 | 2014 | 15 | |
| 18 | 2020 | 12 | |
| 19 | 2016 | 10 | |
| 20 | 2018 | 10 |
About Eric Ehrke‐Schulz
Eric Ehrke‐Schulz is a scholar working on Molecular Biology, Genetics, Epidemiology, Infectious Diseases and Oncology, having authored 34 papers that have together received 611 indexed citations. Recurring topics across this work include Virus-based gene therapy research (21 papers), CRISPR and Genetic Engineering (15 papers), Viral Infectious Diseases and Gene Expression in Insects (10 papers), Viral gastroenteritis research and epidemiology (7 papers), Cervical Cancer and HPV Research (6 papers), RNA Interference and Gene Delivery (4 papers), CAR-T cell therapy research (4 papers) and Herpesvirus Infections and Treatments (3 papers). The work is most often cited by research in Business and International Management (23 citations), Genetics (265 citations), Epidemiology (195 citations), Aging (10 citations) and Molecular Biology (349 citations). Eric Ehrke‐Schulz has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Anja Ehrhardt, Thorsten Bergmann, Wenli Zhang, Eggert Stockfleth, Marc Gottschling, Ingo Nindl, Jing Liu, Philip Boehme, Manish Solanki and Jian Gao. Their work appears in journals such as Molecular Therapy — Nucleic Acids, Viruses, Journal of General Virology, Cancers and The Journal of Gene Medicine.
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.