K. Autio
Impact in
- Cancer Research top 5%
- Carcinogens and Genotoxicity Assessment
- Cancer Genomics and Diagnostics
- Hematology top 5%
- Chronic Myeloid Leukemia Treatments
- Acute Myeloid Leukemia Research
Papers in
- Hematology 13
- Chronic Myeloid Leukemia Treatments 10
- Acute Myeloid Leukemia Research 5
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- Acute Lymphoblastic Leukemia research 11
- Co-authors
- Sakari Knuutila (4 shared papers)Samuli Hemmer (2 shared papers)Johanna Tapper (2 shared papers)Veli-Matti Wasenius (2 shared papers)Marcelo L. Larramendy (2 shared papers)Outi Monni (2 shared papers)Maija Tarkkanen (2 shared papers)Ying Zhu (2 shared papers)
In The Last Decade
K. Autio
31 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 74
- Cancer Research 483
- Hematology 244
- Genetics 230
- Chemical Health and Safety 12
- Pathology and Forensic Medicine 277
Countries citing papers authored by K. Autio
This map shows the geographic impact of K. Autio'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 K. Autio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Autio more than expected).
Fields of papers citing papers by K. Autio
This network shows the impact of papers produced by K. Autio. 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 K. Autio. The network helps show where K. Autio may publish in the future.
Co-authors
The 25 scholars most cited alongside K. Autio, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | DNA copy number amplifications in human neoplasms: review of comparative genomic hybridization studies. | 1998 | 480 |
| 2 | 1999 | 332 | |
| 3 | 1998 | 72 | |
| 4 | 1995 | 70 | |
| 5 | 2008 | 60 | |
| 6 | 1979 | 60 | |
| 7 | 1997 | 55 | |
| 8 | 1994 | 52 | |
| 9 | 1981 | 49 | |
| 10 | 1987 | 48 | |
| 11 | 1994 | 47 | |
| 12 | 2013 | 35 | |
| 13 | 2007 | 28 | |
| 14 | 2011 | 24 | |
| 15 | 2007 | 22 | |
| 16 | 2009 | 22 | |
| 17 | 1980 | 20 | |
| 18 | Activation of lymphocytes in CLL by protein A from Staphylococcus aureus. | 1978 | 13 |
| 19 | 1992 | 11 | |
| 20 | 2014 | 10 |
About K. Autio
K. Autio is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Molecular Biology, Cancer Research and Genetics, having authored 32 papers that have together received 1.6k indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (11 papers), Chronic Myeloid Leukemia Treatments (10 papers), Chronic Lymphocytic Leukemia Research (8 papers), Carcinogens and Genotoxicity Assessment (7 papers), Acute Myeloid Leukemia Research (5 papers), Lymphoma Diagnosis and Treatment (5 papers), DNA Repair Mechanisms (4 papers) and Childhood Cancer Survivors' Quality of Life (4 papers). The work is most often cited by research in Cancer Research (483 citations), Hematology (244 citations), Genetics (230 citations), Chemical Health and Safety (12 citations) and Pathology and Forensic Medicine (277 citations). K. Autio has collaborated with scholars based in Finland, Sweden and Norway. Frequent co-authors include Sakari Knuutila, Samuli Hemmer, Johanna Tapper, Veli-Matti Wasenius, Marcelo L. Larramendy, Outi Monni, Maija Tarkkanen, Ying Zhu, Maija Wolf and Wael El‐Rifai. Their work appears in journals such as British Journal of Haematology, Genes Chromosomes and Cancer, Mutation research. Fundamental and molecular mechanisms of mutagenesis, Mutagenesis and Hereditas.
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.