Julia D. Suerth
Impact in
- Oncology top 10%
- CAR-T cell therapy research
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Genetics 12
- Virus-based gene therapy research 12
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- CRISPR and Genetic Engineering 10
- RNA Interference and Gene Delivery 6
- Viral Infectious Diseases and Gene Expression in Insects 2
- Pluripotent Stem Cells Research 1
- Co-authors
- Axel Schambach (13 shared papers)Stephan Kloeß (2 shared papers)Christopher Baum (5 shared papers)Ulrike Koehl (2 shared papers)Manuel Grez (3 shared papers)Christoph Priesner (1 shared paper)Winfried S. Wels (1 shared paper)Lubomir Arseniev (1 shared paper)
- Journals
- Molecular Therapy (4 papers)Journal of Virology (1 paper)Molecular Therapy — Nucleic Acids (1 paper)Viruses (1 paper)PLoS ONE (1 paper)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Julia D. Suerth
14 papers receiving 597 citations
Peers
Comparison fields: 5 of 39
- Oncology 385
- Immunology 282
- Genetics 264
- Molecular Biology 266
- Hematology 36
Countries citing papers authored by Julia D. Suerth
This map shows the geographic impact of Julia D. Suerth'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 Julia D. Suerth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Julia D. Suerth more than expected).
Fields of papers citing papers by Julia D. Suerth
This network shows the impact of papers produced by Julia D. Suerth. 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 Julia D. Suerth. The network helps show where Julia D. Suerth may publish in the future.
Co-authors
The 25 scholars most cited alongside Julia D. Suerth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 202 | |
| 2 | 2015 | 70 | |
| 3 | 2012 | 61 | |
| 4 | 2010 | 55 | |
| 5 | 2012 | 34 | |
| 6 | 2014 | 29 | |
| 7 | 2012 | 25 | |
| 8 | 2014 | 25 | |
| 9 | 2014 | 20 | |
| 10 | 2016 | 20 | |
| 11 | 2013 | 20 | |
| 12 | 2022 | 16 | |
| 13 | 2016 | 13 | |
| 14 | 2013 | 13 |
About Julia D. Suerth
Julia D. Suerth is a scholar working on Genetics, Molecular Biology, Oncology, Cardiology and Cardiovascular Medicine and Immunology, having authored 14 papers that have together received 603 indexed citations. Recurring topics across this work include Virus-based gene therapy research (12 papers), CRISPR and Genetic Engineering (10 papers), RNA Interference and Gene Delivery (6 papers), CAR-T cell therapy research (5 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Pluripotent Stem Cells Research (1 paper), T-cell and B-cell Immunology (1 paper) and Immune Cell Function and Interaction (1 paper). The work is most often cited by research in Oncology (385 citations), Immunology (282 citations), Genetics (264 citations), Molecular Biology (266 citations) and Hematology (36 citations). Julia D. Suerth has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Axel Schambach, Stephan Kloeß, Christopher Baum, Ulrike Koehl, Manuel Grez, Christoph Priesner, Winfried S. Wels, Lubomir Arseniev, Wolfgang Glienke and Ruth Esser. Their work appears in journals such as Molecular Therapy, Journal of Virology, Molecular Therapy — Nucleic Acids, Viruses 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.