Sanni E. Jalava
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Circular RNAs in diseases
- RNA modifications and cancer
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
Papers in
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- Circular RNAs in diseases 2
- Genomics and Chromatin Dynamics 1
- Cancer-related gene regulation 1
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- MicroRNA in disease regulation 3
- Cancer-related molecular mechanisms research 2
- Co-authors
- Tapio Visakorpi (7 shared papers)Teuvo L.J. Tammela (4 shared papers)Guido Jenster (2 shared papers)Alfonso Urbanucci (3 shared papers)Kati K. Waltering (2 shared papers)Leena Latonen (2 shared papers)Chris H. Bangma (1 shared paper)Søren Møller (1 shared paper)
- Journals
- Oncogene (2 papers)The Prostate (2 papers)International Journal of Cancer (2 papers)PLoS Genetics (1 paper)European Journal of Clinical Pharmacology (1 paper)
- Partner nations
- FinlandNetherlandsNorway
In The Last Decade
Sanni E. Jalava
9 papers receiving 804 citations
Peers
Comparison fields: 5 of 63
- Cancer Research 513
- Molecular Biology 531
- Pulmonary and Respiratory Medicine 123
- Geriatrics and Gerontology 9
- Genetics 51
Countries citing papers authored by Sanni E. Jalava
This map shows the geographic impact of Sanni E. Jalava'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 Sanni E. Jalava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanni E. Jalava more than expected).
Fields of papers citing papers by Sanni E. Jalava
This network shows the impact of papers produced by Sanni E. Jalava. 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 Sanni E. Jalava. The network helps show where Sanni E. Jalava may publish in the future.
Co-authors
The 25 scholars most cited alongside Sanni E. Jalava, 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 | 2011 | 216 | |
| 2 | 2012 | 181 | |
| 3 | 2010 | 135 | |
| 4 | 2010 | 113 | |
| 5 | 2008 | 66 | |
| 6 | 2010 | 57 | |
| 7 | 2008 | 28 | |
| 8 | 2019 | 13 | |
| 9 | 2012 | 12 |
About Sanni E. Jalava
Sanni E. Jalava is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Geriatrics and Gerontology and Immunology and Allergy, having authored 9 papers that have together received 821 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Prostate Cancer Treatment and Research (2 papers), Cancer-related molecular mechanisms research (2 papers), Circular RNAs in diseases (2 papers), Pharmaceutical Practices and Patient Outcomes (1 paper), Cell Adhesion Molecules Research (1 paper), Genomics and Chromatin Dynamics (1 paper) and Cancer-related gene regulation (1 paper). The work is most often cited by research in Cancer Research (513 citations), Molecular Biology (531 citations), Pulmonary and Respiratory Medicine (123 citations), Geriatrics and Gerontology (9 citations) and Genetics (51 citations). Sanni E. Jalava has collaborated with scholars based in Finland, Netherlands and Norway. Frequent co-authors include Tapio Visakorpi, Teuvo L.J. Tammela, Guido Jenster, Alfonso Urbanucci, Kati K. Waltering, Leena Latonen, Chris H. Bangma, Søren Møller, Jan Trapman and Thomas Litman. Their work appears in journals such as Oncogene, The Prostate, International Journal of Cancer, PLoS Genetics and European Journal of Clinical Pharmacology.
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.