Yan Aalto
Impact in
- Cancer Research top 10%
- Cancer Genomics and Diagnostics
- Pathology and Forensic Medicine top 10%
- Lymphoma Diagnosis and Treatment
Papers in
-
- Protein Degradation and Inhibitors 2
- Cancer-related gene regulation 2
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- Sarcoma Diagnosis and Treatment 4
- Occupational and environmental lung diseases 2
- Co-authors
- Sakari Knuutila (9 shared papers)Sakari Knuutila (10 shared papers)Ying Zhu (3 shared papers)Marcelo L. Larramendy (3 shared papers)Bálint Nagy (5 shared papers)Tamara Lushnikova (2 shared papers)K. Autio (1 shared paper)Wael El‐Rifai (1 shared paper)
In The Last Decade
Yan Aalto
20 papers receiving 900 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 183
- Pathology and Forensic Medicine 177
- Genetics 100
- Oncology 247
- Pulmonary and Respiratory Medicine 191
Countries citing papers authored by Yan Aalto
This map shows the geographic impact of Yan Aalto'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 Yan Aalto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Aalto more than expected).
Fields of papers citing papers by Yan Aalto
This network shows the impact of papers produced by Yan Aalto. 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 Yan Aalto. The network helps show where Yan Aalto may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Aalto, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 333 | |
| 2 | 2004 | 95 | |
| 3 | 2003 | 89 | |
| 4 | 2000 | 63 | |
| 5 | 2002 | 52 | |
| 6 | 2002 | 40 | |
| 7 | 1999 | 33 | |
| 8 | 2004 | 30 | |
| 9 | 2001 | 25 | |
| 10 | 2001 | 24 | |
| 11 | 1999 | 24 | |
| 12 | 2003 | 23 | |
| 13 | 2002 | 20 | |
| 14 | 2002 | 19 | |
| 15 | 1999 | 13 | |
| 16 | 2003 | 13 | |
| 17 | Lymphotoxin beta expression is high in chronic lymphocytic leukemia but low in small lymphocytic lymphoma: a quantitative real-time reverse transcriptase polymerase chain reaction analysis. | 2003 | 12 |
| 18 | 2001 | 9 | |
| 19 | 2001 | 9 | |
| 20 | 1999 | 1 |
About Yan Aalto
Yan Aalto is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Pathology and Forensic Medicine and Genetics, having authored 21 papers that have together received 927 indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (4 papers), Genomic variations and chromosomal abnormalities (4 papers), Cancer Genomics and Diagnostics (3 papers), Neuroendocrine Tumor Research Advances (3 papers), Protein Degradation and Inhibitors (2 papers), Cancer-related gene regulation (2 papers), Occupational and environmental lung diseases (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Cancer Research (183 citations), Pathology and Forensic Medicine (177 citations), Genetics (100 citations), Oncology (247 citations) and Pulmonary and Respiratory Medicine (191 citations). Yan Aalto has collaborated with scholars based in Finland, Sweden and Italy. Frequent co-authors include Sakari Knuutila, Sakari Knuutila, Ying Zhu, Marcelo L. Larramendy, Bálint Nagy, Tamara Lushnikova, K. Autio, Wael El‐Rifai, Maija Tarkkanen and Anna‐Maria Björkqvist. Their work appears in journals such as Oncogene, Genes Chromosomes and Cancer, British Journal of Haematology, American Journal Of Pathology and Analytical Cellular Pathology.
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.