Daniel Blangy
- Oncology top 10%
- Polyomavirus and related diseases 23
- Cancer Research top 10%
- Molecular Biology top 10%
- RNA Interference and Gene Delivery 3
- Cell Biology top 10%
- Hemoglobin structure and function 3
- Genetics top 10%
- Virus-based gene therapy research 8
-
- Plant Virus Research Studies 13
-
- Bacteriophages and microbial interactions 8
-
- Animal Virus Infections Studies 5
-
- Energy Harvesting in Wireless Networks 3
In The Last Decade
Daniel Blangy
40 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 85
- Oncology 390
- Cancer Research 183
- Molecular Biology 721
- Cell Biology 163
- Genetics 268
Countries citing papers authored by Daniel Blangy
This map shows the geographic impact of Daniel Blangy'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 Daniel Blangy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Blangy more than expected).
Fields of papers citing papers by Daniel Blangy
This network shows the impact of papers produced by Daniel Blangy. 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 Daniel Blangy. The network helps show where Daniel Blangy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Blangy, 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 | 2000 | 16 | |
| 2 | 1994 | 9 | |
| 3 | 1994 | 88 | |
| 4 | 1993 | 8 | |
| 5 | 1993 | 42 | |
| 6 | Estradiol dependence of the specific mammary tissue targeting of polyoma virus oncogenicity in nude mice. | 1990 | 8 |
| 7 | Direct inhibiting effects of [D-Trp6]gonadotropin-releasing hormone on the estrogen-sensitive progression of polyoma virus-induced mammary tumors in athymic mice. | 1990 | 2 |
| 8 | 1989 | 4 | |
| 9 | 1986 | 25 | |
| 10 | 1985 | 14 | |
| 11 | 1984 | 9 | |
| 12 | 1984 | 6 | |
| 13 | 1982 | 44 | |
| 14 | 1982 | 16 | |
| 15 | 1981 | 130 | |
| 16 | 1981 | 57 | |
| 17 | 1979 | 7 | |
| 18 | 1976 | 18 | |
| 19 | 1968 | 40 | |
| 20 | 1968 | 351 |
About Daniel Blangy
Daniel Blangy is a scholar working on Oncology, Animal Science and Zoology, Genetics, Plant Science and Ecology, having authored 40 papers that have together received 1.3k indexed citations. Recurring topics across this work include Polyomavirus and related diseases (23 papers), Plant Virus Research Studies (13 papers), Virus-based gene therapy research (8 papers), Bacteriophages and microbial interactions (8 papers), Animal Virus Infections Studies (5 papers), Energy Harvesting in Wireless Networks (3 papers), RNA Interference and Gene Delivery (3 papers) and Hemoglobin structure and function (3 papers). The work is most often cited by research in Oncology (390 citations), Cancer Research (183 citations), Molecular Biology (721 citations), Cell Biology (163 citations) and Genetics (268 citations). Daniel Blangy has collaborated with scholars based in France, Slovakia and Argentina. Frequent co-authors include Jacques Monod, H. Buc, Nicole Montreau, Moshé Yaniv, Michaël Katinka, Philippe Herbomel, Chantal Kress, Marc Vasseur, Sentob Saragosti and Luisa Dandolo. Their work appears in journals such as Journal of Virology, The EMBO Journal, Virology, International Journal of Cancer and Cold Spring Harbor Symposia on Quantitative Biology.
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.