Mikhail F. Denissenko
- Molecular Biology top 2%
- Cancer Research top 1%
- Oncology top 2%
- Health, Toxicology and Mutagenesis top 2%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Gerd P. PfeiferMoon‐shong TangAnnie PaoPierre HainautNatalia TretyakovaMagali OlivierStephen S. HechtStella Tommasi
- Topics
- DNA Repair Mechanisms (12 papers)Carcinogens and Genotoxicity Assessment (8 papers)Cancer-related Molecular Pathways (8 papers)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Mikhail F. Denissenko
27 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Molecular Biology 2.6k
- Cancer Research 1.3k
- Oncology 1.1k
- Health, Toxicology and Mutagenesis 423
- Pulmonary and Respiratory Medicine 350
Countries citing papers authored by Mikhail F. Denissenko
This map shows the geographic impact of Mikhail F. Denissenko'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 Mikhail F. Denissenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikhail F. Denissenko more than expected).
Fields of papers citing papers by Mikhail F. Denissenko
This network shows the impact of papers produced by Mikhail F. Denissenko. 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 Mikhail F. Denissenko. The network helps show where Mikhail F. Denissenko may publish in the future.
Co-authorship network of co-authors of Mikhail F. Denissenko
This figure shows the co-authorship network connecting the top 25 collaborators of Mikhail F. Denissenko. A scholar is included among the top collaborators of Mikhail F. Denissenko based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mikhail F. Denissenko. Mikhail F. Denissenko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 231 | |
| 2 | 50 | |
| 3 | 13 | |
| 4 | 9 | |
| 5 | Tobacco smoke carcinogens, DNA damage and p53 mutations in smoking-associated cancersbreakdown → | 815 |
| 6 | 47 | |
| 7 | 247 | |
| 8 | 40 | |
| 9 | 56 | |
| 10 | 78 | |
| 11 | 15 | |
| 12 | 52 | |
| 13 | 49 | |
| 14 | 265 | |
| 15 | 17 | |
| 16 | 48 | |
| 17 | 29 | |
| 18 | [Several transcription factors participate in the functioning of the alpha-fetoprotein gene promoter]. | 5 |
| 19 | 20 | |
| 20 | 28 |
About Mikhail F. Denissenko
Mikhail F. Denissenko is a scholar working on Cancer Research, Molecular Biology and Oncology, having authored 27 papers that have together received 4.0k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (12 papers), Carcinogens and Genotoxicity Assessment (8 papers) and Cancer-related Molecular Pathways (8 papers). The work is most often cited by research in Cancer Research (1.3k citations), Oncology (1.1k citations) and Molecular Biology (2.6k citations). Mikhail F. Denissenko has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Gerd P. Pfeifer, Moon‐shong Tang, Annie Pao, Pierre Hainaut, Natalia Tretyakova, Magali Olivier, Stephen S. Hecht, Stella Tommasi, Sundaresan Venkatachalam and Altaf A. Wani. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences 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.