Eva Guhl
Impact in
-
- 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 8
- Virus-based gene therapy research 6
- Animal Genetics and Reproduction 2
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- Cancer Research and Treatments 3
- Co-authors
- Adolf Graessmann (13 shared papers)Monika Graessmann (11 shared papers)Toni Cathomen (3 shared papers)Tatjana I. Cornu (1 shared paper)Stacey Thibodeau-Beganny (1 shared paper)Yin‐Jeh Tzeng (4 shared papers)Matthew D. Weitzman (1 shared paper)Karin Effertz (1 shared paper)
- Journals
- Molecular and Cellular Biology (2 papers)Molecular Therapy (2 papers)Oncogene (2 papers)FEBS Letters (2 papers)Biological Chemistry (1 paper)
- Partner nations
- GermanyTaiwanUnited States
In The Last Decade
Eva Guhl
16 papers receiving 717 citations
Peers
Comparison fields: 5 of 73
- Molecular Biology 564
- Genetics 205
- Business and International Management 15
- Pharmacology 83
- Oncology 111
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 | 194 | |
| 2 | 2005 | 135 | |
| 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 | 37 | |
| 6 | 1994 | 36 | |
| 7 | 1997 | 33 | |
| 8 | 1978 | 30 | |
| 9 | 2005 | 26 | |
| 10 | 1987 | 25 | |
| 11 | 2001 | 22 | |
| 12 | 2001 | 18 | |
| 13 | 2011 | 18 | |
| 14 | 1984 | 12 | |
| 15 | 1991 | 9 | |
| 16 | 1994 | 5 |
About Eva Guhl
Eva Guhl is a scholar working on Genetics, Biotechnology, Oncology, Molecular Biology and Ecology, Evolution, Behavior and Systematics, having authored 16 papers that have together received 747 indexed citations. Recurring topics across this work include Virus-based gene therapy research (6 papers), CRISPR and Genetic Engineering (5 papers), Cancer Research and Treatments (3 papers), Cancer-related Molecular Pathways (3 papers), RNA Interference and Gene Delivery (3 papers), Animal Genetics and Reproduction (2 papers), Pluripotent Stem Cells Research (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Molecular Biology (564 citations), Genetics (205 citations), Business and International Management (15 citations), Pharmacology (83 citations) and Oncology (111 citations). Eva Guhl has collaborated with scholars based in Germany, Taiwan and United States. Frequent co-authors include Adolf Graessmann, Monika Graessmann, Toni Cathomen, Tatjana I. Cornu, Stacey Thibodeau-Beganny, Yin‐Jeh Tzeng, Matthew D. Weitzman, Karin Effertz, Carlos F. Barbas and David Jay Segal. Their work appears in journals such as Molecular and Cellular Biology, Molecular Therapy, Oncogene, FEBS Letters and Biological Chemistry.
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.