Eva Guhl
Impact in
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- CRISPR and Genetic Engineering
- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- Epigenetics and DNA Methylation
- Genetics top 10%
- Virus-based gene therapy research
- Animal Genetics and Reproduction
Papers in
- Genetics 10
- Virus-based gene therapy research 8
- Animal Genetics and Reproduction 3
-
- CRISPR and Genetic Engineering 6
- RNA Interference and Gene Delivery 3
- Epigenetics and DNA Methylation 2
- Pluripotent Stem Cells Research 2
- Co-authors
- A. Graessmann (15 shared papers)M. Graessmann (11 shared papers)Toni Cathomen (3 shared papers)Yin‐Jeh Tzeng (6 shared papers)Tatjana I. Cornu (1 shared paper)Stacey Thibodeau-Beganny (1 shared paper)David J. Segal (1 shared paper)Carlos F. Barbas (1 shared paper)
- Journals
- Oncogene (3 papers)Molecular Therapy (2 papers)Molecular and Cellular Biology (2 papers)FEBS Letters (2 papers)Journal of Virology (1 paper)
- Partner nations
- GermanyUnited StatesTaiwan
In The Last Decade
Eva Guhl
18 papers receiving 773 citations
Peers
Comparison fields: 5 of 74
- Molecular Biology 585
- Genetics 227
- Business and International Management 15
- Oncology 146
- Pharmacology 83
Countries citing papers authored by Eva Guhl
This map shows the geographic impact of Eva Guhl'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 Guhl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eva Guhl more than expected).
Fields of papers citing papers by Eva Guhl
This network shows the impact of papers produced by Eva Guhl. 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 Guhl. The network helps show where Eva Guhl may publish in the future.
Co-authors
The 25 scholars most cited alongside Eva Guhl, 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 | 2007 | 193 | |
| 2 | 2005 | 136 | |
| 3 | 1996 | 95 | |
| 4 | Breast cancer formation in transgenic animals induced by the whey acidic protein SV40 T antigen (WAP-SV-T) hybrid gene. | 1993 | 52 |
| 5 | 2003 | 38 | |
| 6 | 1994 | 36 | |
| 7 | 1998 | 32 | |
| 8 | 1997 | 32 | |
| 9 | 1978 | 31 | |
| 10 | 2005 | 27 | |
| 11 | 1987 | 25 | |
| 12 | 2001 | 22 | |
| 13 | 2001 | 20 | |
| 14 | SV40 T-antigen induces breast cancer formation with a high efficiency in lactating and virgin WAP-SV-T transgenic animals but with a low efficiency in ovariectomized animals. | 1996 | 20 |
| 15 | 2011 | 18 | |
| 16 | 1984 | 12 | |
| 17 | 1991 | 9 | |
| 18 | 1994 | 5 |
About Eva Guhl
Eva Guhl is a scholar working on Genetics, Molecular Biology, Oncology, Biotechnology and Ecology, Evolution, Behavior and Systematics, having authored 18 papers that have together received 803 indexed citations. Recurring topics across this work include Virus-based gene therapy research (8 papers), CRISPR and Genetic Engineering (6 papers), Cancer-related Molecular Pathways (4 papers), Cancer Research and Treatments (4 papers), Animal Genetics and Reproduction (3 papers), RNA Interference and Gene Delivery (3 papers), Epigenetics and DNA Methylation (2 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Molecular Biology (585 citations), Genetics (227 citations), Business and International Management (15 citations), Oncology (146 citations) and Pharmacology (83 citations). Eva Guhl has collaborated with scholars based in Germany, United States and Taiwan. Frequent co-authors include A. Graessmann, M. Graessmann, Toni Cathomen, Yin‐Jeh Tzeng, Tatjana I. Cornu, Stacey Thibodeau-Beganny, David J. Segal, Carlos F. Barbas, Karin Effertz and Matthew D. Weitzman. Their work appears in journals such as Oncogene, Molecular Therapy, Molecular and Cellular Biology, FEBS Letters and Journal of Virology.
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.