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
-
- CRISPR and Genetic Engineering 10
- RNA Interference and Gene Delivery 7
- Viral Infectious Diseases and Gene Expression in Insects 2
- Pluripotent Stem Cells Research 1
- Genetics 12
- Virus-based gene therapy research 12
- Co-authors
- Axel Schambach (13 shared papers)Ulrike Koehl (2 shared papers)Stephan Kloeß (2 shared papers)Manuel Grez (3 shared papers)Christopher Baum (5 shared papers)Ruth Esser (1 shared paper)Wolfgang Glienke (1 shared paper)Winfried S. Wels (1 shared paper)
- Journals
- Molecular Therapy (4 papers)Biomaterials (1 paper)Genes (1 paper)Current Opinion in Immunology (1 paper)Molecular Therapy — Nucleic Acids (1 paper)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Julia D. Suerth
14 papers receiving 587 citations
Peers
Comparison fields: 5 of 40
- Oncology 395
- Immunology 297
- Genetics 270
- Molecular Biology 278
- Hematology 40
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 | 200 | |
| 2 | 2015 | 69 | |
| 3 | 2012 | 60 | |
| 4 | 2010 | 54 | |
| 5 | 2012 | 34 | |
| 6 | 2014 | 28 | |
| 7 | 2012 | 25 | |
| 8 | 2014 | 24 | |
| 9 | 2014 | 20 | |
| 10 | 2016 | 20 | |
| 11 | 2013 | 20 | |
| 12 | 2022 | 13 | |
| 13 | 2016 | 13 | |
| 14 | 2013 | 13 |
About Julia D. Suerth
Julia D. Suerth is a scholar working on Molecular Biology, Genetics, Oncology, Immunology and Cardiology and Cardiovascular Medicine, having authored 14 papers that have together received 593 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 (7 papers), CAR-T cell therapy research (6 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Immune Cell Function and Interaction (2 papers), Pluripotent Stem Cells Research (1 paper) and T-cell and B-cell Immunology (1 paper). The work is most often cited by research in Oncology (395 citations), Immunology (297 citations), Genetics (270 citations), Molecular Biology (278 citations) and Hematology (40 citations). Julia D. Suerth has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Axel Schambach, Ulrike Koehl, Stephan Kloeß, Manuel Grez, Christopher Baum, Ruth Esser, Wolfgang Glienke, Winfried S. Wels, Christoph Priesner and Lubomir Arseniev. Their work appears in journals such as Molecular Therapy, Biomaterials, Genes, Current Opinion in Immunology and Molecular Therapy — Nucleic Acids.
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.