Andréï Tchirkov
Impact in
- Genetics top 2%
- Mesenchymal stem cell research
- Genomic variations and chromosomal abnormalities
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- DNA Repair Mechanisms 7
- Genetics 24
- Genomic variations and chromosomal abnormalities 17
- Chronic Lymphocytic Leukemia Research 9
- Co-authors
- Philippe Vago (35 shared papers)Pierre Verrelle (15 shared papers)Lauren Véronèse (25 shared papers)Fabrice Kwiatkowski (16 shared papers)Emmanuel Chautard (8 shared papers)Carole Goumy (26 shared papers)Laëtitia Gouas (24 shared papers)Cathérine Henry (1 shared paper)
- Journals
- Pediatric Blood & Cancer (6 papers)Cancers (4 papers)Annals of Hematology (4 papers)Annals of Surgical Oncology (3 papers)British Journal of Haematology (2 papers)
- Partner nations
- FranceSwitzerlandSpain
In The Last Decade
Andréï Tchirkov
80 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 83
- Genetics 479
- Cancer Research 412
- Neurology 266
- Hematology 190
- Oncology 389
Countries citing papers authored by Andréï Tchirkov
This map shows the geographic impact of Andréï Tchirkov'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 Andréï Tchirkov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andréï Tchirkov more than expected).
Fields of papers citing papers by Andréï Tchirkov
This network shows the impact of papers produced by Andréï Tchirkov. 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 Andréï Tchirkov. The network helps show where Andréï Tchirkov may publish in the future.
Co-authors
The 25 scholars most cited alongside Andréï Tchirkov, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 354 | |
| 2 | 2007 | 108 | |
| 3 | 2014 | 91 | |
| 4 | 2008 | 68 | |
| 5 | 2010 | 60 | |
| 6 | 2003 | 52 | |
| 7 | 1998 | 38 | |
| 8 | 2004 | 37 | |
| 9 | 2017 | 37 | |
| 10 | 2010 | 34 | |
| 11 | 2011 | 32 | |
| 12 | 2013 | 31 | |
| 13 | 2003 | 31 | |
| 14 | 1997 | 30 | |
| 15 | 2011 | 30 | |
| 16 | 2013 | 30 | |
| 17 | 1998 | 29 | |
| 18 | 2015 | 28 | |
| 19 | 1998 | 24 | |
| 20 | 2008 | 23 |
About Andréï Tchirkov
Andréï Tchirkov is a scholar working on Molecular Biology, Genetics, Genetics, Neurology and Oncology, having authored 88 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (18 papers), Genomic variations and chromosomal abnormalities (17 papers), Prenatal Screening and Diagnostics (10 papers), Chronic Lymphocytic Leukemia Research (9 papers), Telomeres, Telomerase, and Senescence (9 papers), Cancer, Hypoxia, and Metabolism (8 papers), DNA Repair Mechanisms (7 papers) and Breast Cancer Treatment Studies (6 papers). The work is most often cited by research in Genetics (479 citations), Cancer Research (412 citations), Neurology (266 citations), Hematology (190 citations) and Oncology (389 citations). Andréï Tchirkov has collaborated with scholars based in France, Switzerland and Spain. Frequent co-authors include Philippe Vago, Pierre Verrelle, Lauren Véronèse, Fabrice Kwiatkowski, Emmanuel Chautard, Carole Goumy, Laëtitia Gouas, Cathérine Henry, Karin Tarte and Norbert-Claude Gorin. Their work appears in journals such as Pediatric Blood & Cancer, Cancers, Annals of Hematology, Annals of Surgical Oncology and British Journal of Haematology.
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.