Pascale Feldmann
Impact in
- Insect Science top 1%
- Insect and Pesticide Research
- Insect-Plant Interactions and Control
- Entomopathogenic Microorganisms in Pest Control
- Molecular Biology top 5%
- Insect Resistance and Genetics
- CRISPR and Genetic Engineering
Papers in
-
- Fungal and yeast genetics research 2
- Protein Tyrosine Phosphatases 1
- Insect Resistance and Genetics 1
-
- Antifungal resistance and susceptibility 3
- Co-authors
- James A. Baum (1 shared paper)William Clinton (1 shared paper)Scott N. Johnson (1 shared paper)James K. Roberts (1 shared paper)Thierry Bogaert (1 shared paper)Gregory R. Heck (1 shared paper)Geert Plaetinck (1 shared paper)Michael Pleau (1 shared paper)
- Journals
- Molecular Cell (1 paper)Nature Biotechnology (1 paper)Molecular Biology of the Cell (1 paper)Molecular and Cellular Biology (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United KingdomBelgiumUnited States
In The Last Decade
Pascale Feldmann
7 papers receiving 1.7k citations
Pascale Feldmann's Hit Papers
Peers
Comparison fields: 5 of 77
- Insect Science 591
- Molecular Biology 1.3k
- Plant Science 549
- Infectious Diseases 205
- Endocrinology 45
Countries citing papers authored by Pascale Feldmann
This map shows the geographic impact of Pascale Feldmann'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 Pascale Feldmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascale Feldmann more than expected).
Fields of papers citing papers by Pascale Feldmann
This network shows the impact of papers produced by Pascale Feldmann. 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 Pascale Feldmann. The network helps show where Pascale Feldmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Pascale Feldmann, 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 | Control of coleopteran insect pests through RNA interference Hit paper breakdown → | 2007 | 1329 |
| 2 | 1996 | 194 | |
| 3 | 1998 | 80 | |
| 4 | 1995 | 32 | |
| 5 | 2003 | 29 | |
| 6 | 1999 | 25 | |
| 7 | 1991 | 22 |
About Pascale Feldmann
Pascale Feldmann is a scholar working on Molecular Biology, Infectious Diseases, Plant Science, Epidemiology and Cellular and Molecular Neuroscience, having authored 7 papers that have together received 1.7k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (3 papers), Fungal and yeast genetics research (2 papers), Plant-Microbe Interactions and Immunity (1 paper), Neurobiology and Insect Physiology Research (1 paper), Protein Tyrosine Phosphatases (1 paper), Genetics, Aging, and Longevity in Model Organisms (1 paper), Insect Resistance and Genetics (1 paper) and Fungal Infections and Studies (1 paper). The work is most often cited by research in Insect Science (591 citations), Molecular Biology (1.3k citations), Plant Science (549 citations), Infectious Diseases (205 citations) and Endocrinology (45 citations). Pascale Feldmann has collaborated with scholars based in United Kingdom, Belgium and United States. Frequent co-authors include James A. Baum, William Clinton, Scott N. Johnson, James K. Roberts, Thierry Bogaert, Gregory R. Heck, Geert Plaetinck, Michael Pleau, T.R.I. Munyikwa and Ty T. Vaughn. Their work appears in journals such as Molecular Cell, Nature Biotechnology, Molecular Biology of the Cell, Molecular and Cellular Biology and Nucleic Acids Research.
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.