Panu E. Kovanen
Impact in
- Health Informatics top 2%
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
- Immunology 16
- Immune Cell Function and Interaction 7
-
- Protein Kinase Regulation and GTPase Signaling 4
- Co-authors
- Riku Turkki (8 shared papers)Johan Lundin (4 shared papers)Nina Linder (4 shared papers)Mikael Lundin (2 shared papers)Stig Nordling (2 shared papers)Clare Verrill (2 shared papers)Warren J. Leonard (5 shared papers)Caj Haglund (2 shared papers)
- Journals
- Blood (4 papers)Leukemia (3 papers)Haematologica (3 papers)Journal of Biological Chemistry (3 papers)Oncogene (3 papers)
- Partner nations
- FinlandSwedenUnited States
In The Last Decade
Panu E. Kovanen
44 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 115
- Health Informatics 65
- Immunology 755
- Hematology 375
- Genetics 288
- Oncology 691
Countries citing papers authored by Panu E. Kovanen
This map shows the geographic impact of Panu E. Kovanen'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 Panu E. Kovanen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Panu E. Kovanen more than expected).
Fields of papers citing papers by Panu E. Kovanen
This network shows the impact of papers produced by Panu E. Kovanen. 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 Panu E. Kovanen. The network helps show where Panu E. Kovanen may publish in the future.
Co-authors
The 25 scholars most cited alongside Panu E. Kovanen, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 428 | |
| 2 | 2009 | 229 | |
| 3 | 1996 | 213 | |
| 4 | 2001 | 116 | |
| 5 | 2008 | 86 | |
| 6 | 2019 | 83 | |
| 7 | 2003 | 79 | |
| 8 | 2016 | 71 | |
| 9 | 2018 | 69 | |
| 10 | 2012 | 66 | |
| 11 | 2003 | 61 | |
| 12 | 2000 | 61 | |
| 13 | 2017 | 51 | |
| 14 | 2008 | 49 | |
| 15 | 2019 | 47 | |
| 16 | 2005 | 45 | |
| 17 | 2020 | 44 | |
| 18 | 2011 | 41 | |
| 19 | 2017 | 37 | |
| 20 | 2021 | 36 |
About Panu E. Kovanen
Panu E. Kovanen is a scholar working on Immunology, Molecular Biology, Oncology, Pathology and Forensic Medicine and Genetics, having authored 44 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (9 papers), Lymphoma Diagnosis and Treatment (8 papers), Immune Cell Function and Interaction (7 papers), Chronic Lymphocytic Leukemia Research (5 papers), AI in cancer detection (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Health Informatics (65 citations), Immunology (755 citations), Hematology (375 citations), Genetics (288 citations) and Oncology (691 citations). Panu E. Kovanen has collaborated with scholars based in Finland, Sweden and United States. Frequent co-authors include Riku Turkki, Johan Lundin, Nina Linder, Mikael Lundin, Stig Nordling, Clare Verrill, Warren J. Leonard, Caj Haglund, Dmitrii Bychkov and Tuomo Timonen. Their work appears in journals such as Blood, Leukemia, Haematologica, Journal of Biological Chemistry and Oncogene.
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.