Ilkka Liikanen
- Oncology top 5%
- Genetics top 5%
- Molecular Biology
- Immunology top 10%
- Biotechnology top 5%
- Co-authors
- Akseli HemminkiAnna KanervaTimo JoensuuMinna OksanenAnniina KoskiOtto HemminkiVincenzo CerulloIulia Diaconu
- Topics
- Virus-based gene therapy research (22 papers)CAR-T cell therapy research (22 papers)Viral Infectious Diseases and Gene Expression in Insects (9 papers)
- Cited by
- OncologyGeneticsBiotechnology
- Journals
- Journal of Clinical InvestigationClinical Cancer ResearchInternational Journal of Radiation Oncology*Biology*Physics
- Partner nations
- FinlandGermanyUnited States
In The Last Decade
Ilkka Liikanen
31 papers receiving 964 citations
Peers
Comparison fields: 5 of 79
- Oncology 657
- Genetics 654
- Molecular Biology 367
- Immunology 256
- Biotechnology 167
Countries citing papers authored by Ilkka Liikanen
This map shows the geographic impact of Ilkka Liikanen'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 Ilkka Liikanen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ilkka Liikanen more than expected).
Fields of papers citing papers by Ilkka Liikanen
This network shows the impact of papers produced by Ilkka Liikanen. 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 Ilkka Liikanen. The network helps show where Ilkka Liikanen may publish in the future.
Co-authorship network of co-authors of Ilkka Liikanen
This figure shows the co-authorship network connecting the top 25 collaborators of Ilkka Liikanen. A scholar is included among the top collaborators of Ilkka Liikanen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ilkka Liikanen. Ilkka Liikanen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 103 | |
| 3 | 7 | |
| 4 | 30 | |
| 5 | 30 | |
| 6 | 36 | |
| 7 | 25 | |
| 8 | 53 | |
| 9 | 12 | |
| 10 | 144 | |
| 11 | 15 | |
| 12 | 139 | |
| 13 | 39 | |
| 14 | 28 | |
| 15 | 36 | |
| 16 | From Post-Modern Visions to Multi-Scale Study of Bordering : Recent Trends in European Study of Borders and Border Areas | 4 |
| 17 | 3 | |
| 18 | 25 | |
| 19 | Fennomania ja kansa : joukkojärjestäytymisen läpimurto ja Suomalaisen puolueen synty | 7 |
| 20 | 1 |
About Ilkka Liikanen
Ilkka Liikanen is a scholar working on Oncology, Genetics and Political Science and International Relations, having authored 37 papers that have together received 985 indexed citations. Recurring topics across this work include Virus-based gene therapy research (22 papers), CAR-T cell therapy research (22 papers) and Viral Infectious Diseases and Gene Expression in Insects (9 papers). The work is most often cited by research in Oncology (657 citations), Genetics (654 citations) and Biotechnology (167 citations). Ilkka Liikanen has collaborated with scholars based in Finland, Germany and United States. Frequent co-authors include Akseli Hemminki, Anna Kanerva, Timo Joensuu, Minna Oksanen, Anniina Koski, Otto Hemminki, Vincenzo Cerullo, Iulia Diaconu, Sari Pesonen and Petri Nokisalmi. Their work appears in journals such as Journal of Clinical Investigation, Clinical Cancer Research and International Journal of Radiation Oncology*Biology*Physics.
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.