Mitro Miihkinen
Impact in
- Cell Biology top 5%
- Cellular Mechanics and Interactions
- Immunology and Allergy top 10%
- Cell Adhesion Molecules Research
Papers in
-
- Cellular Mechanics and Interactions 6
-
- Cell Adhesion Molecules Research 4
- Co-authors
- Guillaume Jacquemet (8 shared papers)Johanna Ivaska (6 shared papers)Aki Stubb (3 shared papers)Hellyeh Hamidi (3 shared papers)Camilo Guzmán (2 shared papers)Elena Kremneva (3 shared papers)Teng‐Leong Chew (1 shared paper)Markku Saari (1 shared paper)
- Journals
- Journal of Cell Science (3 papers)Current Biology (2 papers)The Journal of Pathology (1 paper)Nature Communications (1 paper)Advanced Therapeutics (1 paper)
- Partner nations
- FinlandUnited KingdomNorway
In The Last Decade
Mitro Miihkinen
14 papers receiving 437 citations
Mitro Miihkinen's Hit Papers
Peers
Comparison fields: 5 of 73
- Cell Biology 162
- Immunology and Allergy 36
- Biophysics 32
- Computational Theory and Mathematics 45
- Structural Biology 4
Countries citing papers authored by Mitro Miihkinen
This map shows the geographic impact of Mitro Miihkinen'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 Mitro Miihkinen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitro Miihkinen more than expected).
Fields of papers citing papers by Mitro Miihkinen
This network shows the impact of papers produced by Mitro Miihkinen. 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 Mitro Miihkinen. The network helps show where Mitro Miihkinen may publish in the future.
Co-authors
The 25 scholars most cited alongside Mitro Miihkinen, 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 | 2019 | 97 | |
| 2 | 2019 | 93 | |
| 3 | 2020 | 58 | |
| 4 | Computational drug repurposing: approaches, evaluation of in silico resources and case studies Hit paper breakdown → | 2025 | 45 |
| 5 | 2021 | 41 | |
| 6 | 2020 | 34 | |
| 7 | 2021 | 18 | |
| 8 | 2024 | 17 | |
| 9 | 2024 | 11 | |
| 10 | 2017 | 10 | |
| 11 | 2018 | 8 | |
| 12 | 2023 | 7 | |
| 13 | 2026 | 4 | |
| 14 | 2025 | 1 |
About Mitro Miihkinen
Mitro Miihkinen is a scholar working on Cell Biology, Immunology and Allergy, Computational Theory and Mathematics, Cancer Research and Molecular Biology, having authored 14 papers that have together received 444 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (6 papers), Cell Adhesion Molecules Research (4 papers), Computational Drug Discovery Methods (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), RNA Interference and Gene Delivery (1 paper), Cancer Genomics and Diagnostics (1 paper), Nanoparticle-Based Drug Delivery (1 paper) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Cell Biology (162 citations), Immunology and Allergy (36 citations), Biophysics (32 citations), Computational Theory and Mathematics (45 citations) and Structural Biology (4 citations). Mitro Miihkinen has collaborated with scholars based in Finland, United Kingdom and Norway. Frequent co-authors include Guillaume Jacquemet, Johanna Ivaska, Aki Stubb, Hellyeh Hamidi, Camilo Guzmán, Elena Kremneva, Teng‐Leong Chew, Markku Saari, Jesse Aaron and Elisa Närvä. Their work appears in journals such as Journal of Cell Science, Current Biology, The Journal of Pathology, Nature Communications and Advanced Therapeutics.
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.