D. Galendo
Impact in
- Oncology top 10%
- Cancer-related Molecular Pathways
- PARP inhibition in cancer therapy
- Lung Cancer Research Studies
-
- Carcinogens and Genotoxicity Assessment
Papers in
-
- Carcinogens and Genotoxicity Assessment 8
- Oncology 7
- Cancer-related Molecular Pathways 5
- Co-authors
- Wei‐Min Tong (5 shared papers)Zhao‐Qi Wang (3 shared papers)Philippe Bertolino (1 shared paper)Chang Zhang (1 shared paper)J.R.P. Cabral (6 shared papers)Monica Hollstein (3 shared papers)L. Garren (3 shared papers)N. Martel (2 shared papers)
- Journals
- Cancer Letters (4 papers)International Journal of Cancer (2 papers)Cold Spring Harbor Symposia on Quantitative Biology (1 paper)Food Additives & Contaminants (1 paper)Molecular Carcinogenesis (1 paper)
- Partner nations
- FranceUnited KingdomGermany
In The Last Decade
D. Galendo
17 papers receiving 616 citations
Peers
Comparison fields: 5 of 71
- Oncology 232
- Cancer Research 126
- Chemical Health and Safety 4
- Neurology 80
- Epidemiology 143
Countries citing papers authored by D. Galendo
This map shows the geographic impact of D. Galendo'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 D. Galendo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Galendo more than expected).
Fields of papers citing papers by D. Galendo
This network shows the impact of papers produced by D. Galendo. 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 D. Galendo. The network helps show where D. Galendo may publish in the future.
Co-authors
The 25 scholars most cited alongside D. Galendo, 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 | 2003 | 192 | |
| 2 | 2006 | 65 | |
| 3 | 1985 | 56 | |
| 4 | UV-induced DNA damage and mutations in Hupki (human p53 knock-in) mice recapitulate p53 hotspot alterations in sun-exposed human skin. | 2001 | 43 |
| 5 | 1998 | 41 | |
| 6 | 1990 | 40 | |
| 7 | 2001 | 35 | |
| 8 | 1984 | 33 | |
| 9 | 2006 | 28 | |
| 10 | 1987 | 28 | |
| 11 | 1990 | 22 | |
| 12 | 1990 | 18 | |
| 13 | 2001 | 9 | |
| 14 | 2000 | 7 | |
| 15 | 1988 | 5 | |
| 16 | 1998 | 5 | |
| 17 | 1997 | 3 |
About D. Galendo
D. Galendo is a scholar working on Cancer Research, Oncology, Molecular Biology, Plant Science and Food Science, having authored 17 papers that have together received 630 indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (8 papers), Cancer-related Molecular Pathways (5 papers), DNA Repair Mechanisms (4 papers), Mycotoxins in Agriculture and Food (3 papers), Seaweed-derived Bioactive Compounds (2 papers), Cancer Research and Treatments (2 papers), Effects and risks of endocrine disrupting chemicals (2 papers) and Pesticide Exposure and Toxicity (2 papers). The work is most often cited by research in Oncology (232 citations), Cancer Research (126 citations), Chemical Health and Safety (4 citations), Neurology (80 citations) and Epidemiology (143 citations). D. Galendo has collaborated with scholars based in France, United Kingdom and Germany. Frequent co-authors include Wei‐Min Tong, Zhao‐Qi Wang, Philippe Bertolino, Chang Zhang, J.R.P. Cabral, Monica Hollstein, L. Garren, N. Martel, Lorenzo Tomatis and Yun Yang. Their work appears in journals such as Cancer Letters, International Journal of Cancer, Cold Spring Harbor Symposia on Quantitative Biology, Food Additives & Contaminants and Molecular Carcinogenesis.
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.