Juha Kononen
Impact in
- Cancer Research top 0.5%
- Cancer Genomics and Diagnostics
- Oncology top 0.2%
- HER2/EGFR in Cancer Research
- Cancer-related Molecular Pathways
Papers in
-
- Stress Responses and Cortisol 7
- Oncology 31
- HER2/EGFR in Cancer Research 13
- Cancer-related Molecular Pathways 8
- Co-authors
- Guido SauterOlli KallioniemiLukas BubendorfPeter SchramlMichael J. MihatschJ. TorhorstMaarit BärlundStephen B. Leighton
- Journals
- American Journal Of Pathology (5 papers)JNCI Journal of the National Cancer Institute (3 papers)The Journal of Pathology (3 papers)Endocrinology (3 papers)Nature Genetics (3 papers)
- Partner nations
- FinlandUnited StatesSwitzerland
In The Last Decade
Juha Kononen
83 papers receiving 13.1k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Cancer Research 2.8k
- Oncology 4.8k
- Molecular Biology 8.0k
- Genetics 2.8k
- Pulmonary and Respiratory Medicine 2.6k
Countries citing papers authored by Juha Kononen
This map shows the geographic impact of Juha Kononen'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 Juha Kononen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juha Kononen more than expected).
Fields of papers citing papers by Juha Kononen
This network shows the impact of papers produced by Juha Kononen. 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 Juha Kononen. The network helps show where Juha Kononen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Juha Kononen, 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 | 2025 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2021 | 4 | |
| 4 | 2019 | 7 | |
| 5 | 2008 | 19 | |
| 6 | 2002 | 346 | |
| 7 | 2002 | 465 | |
| 8 | 2001 | 41 | |
| 9 | 2001 | 438 | |
| 10 | 2001 | 238 | |
| 11 | 2001 | 118 | |
| 12 | 2000 | 52 | |
| 13 | 2000 | 234 | |
| 14 | 2000 | 22 | |
| 15 | Reduced Fhit expression in sporadic and BRCA2-linked breast carcinomas. | 1999 | 40 |
| 16 | 1999 | 42 | |
| 17 | 1997 | 220 | |
| 18 | 1995 | 22 | |
| 19 | 1993 | 48 | |
| 20 | 1990 | 87 |
About Juha Kononen
Juha Kononen is a scholar working on Behavioral Neuroscience, Oncology, Cancer Research, Genetics and Reproductive Medicine, having authored 83 papers that have together received 13.5k indexed citations. Recurring topics across this work include Gene expression and cancer classification (14 papers), HER2/EGFR in Cancer Research (13 papers), Genomic variations and chromosomal abnormalities (11 papers), Molecular Biology Techniques and Applications (10 papers), Cancer Genomics and Diagnostics (9 papers), Cancer-related Molecular Pathways (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Stress Responses and Cortisol (7 papers). The work is most often cited by research in Cancer Research (2.8k citations), Oncology (4.8k citations), Molecular Biology (8.0k citations), Genetics (2.8k citations) and Pulmonary and Respiratory Medicine (2.6k citations). Juha Kononen has collaborated with scholars based in Finland, United States and Switzerland. Frequent co-authors include Guido Sauter, Olli Kallioniemi, Lukas Bubendorf, Peter Schraml, Michael J. Mihatsch, J. Torhorst, Maarit Bärlund, Stephen B. Leighton, Jorma Isola and Holger Moch. Their work appears in journals such as American Journal Of Pathology, JNCI Journal of the National Cancer Institute, The Journal of Pathology, Endocrinology and Nature Genetics.
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.