Marja‐Leena Linne
- Cellular and Molecular Neuroscience top 5%
- Molecular Biology
- Cognitive Neuroscience top 5%
- Neurology top 10%
- Statistical and Nonlinear Physics top 10%
- Co-authors
- Tiina ManninenTuula O. JalonenOlli Yli‐HarjaJertta‐Riina SarkanenKeijo RuohonenTuomo Mäki‐MarttunenAušra SaudargienėKim T. Blackwell
- Topics
- Neuroscience and Neuropharmacology Research (24 papers)Neural dynamics and brain function (22 papers)Gene Regulatory Network Analysis (14 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of NeuroscienceSHILAP Revista de lepidopterología
- Partner nations
- FinlandUnited StatesNorway
In The Last Decade
Marja‐Leena Linne
59 papers receiving 722 citations
Peers
Comparison fields: 5 of 108
- Cellular and Molecular Neuroscience 361
- Molecular Biology 297
- Cognitive Neuroscience 283
- Neurology 127
- Statistical and Nonlinear Physics 91
Countries citing papers authored by Marja‐Leena Linne
This map shows the geographic impact of Marja‐Leena Linne'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 Marja‐Leena Linne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marja‐Leena Linne more than expected).
Fields of papers citing papers by Marja‐Leena Linne
This network shows the impact of papers produced by Marja‐Leena Linne. 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 Marja‐Leena Linne. The network helps show where Marja‐Leena Linne may publish in the future.
Co-authorship network of co-authors of Marja‐Leena Linne
This figure shows the co-authorship network connecting the top 25 collaborators of Marja‐Leena Linne. A scholar is included among the top collaborators of Marja‐Leena Linne 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 Marja‐Leena Linne. Marja‐Leena Linne is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 13 | |
| 5 | 12 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 23 | |
| 10 | 21 | |
| 11 | 22 | |
| 12 | 59 | |
| 13 | 11 | |
| 14 | 12 | |
| 15 | 5 | |
| 16 | 35 | |
| 17 | 5 | |
| 18 | 4 | |
| 19 | 39 | |
| 20 | 37 |
About Marja‐Leena Linne
Marja‐Leena Linne is a scholar working on Cellular and Molecular Neuroscience, Biophysics and Cognitive Neuroscience, having authored 63 papers that have together received 789 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (24 papers), Neural dynamics and brain function (22 papers) and Gene Regulatory Network Analysis (14 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (361 citations), Neurology (127 citations) and Cognitive Neuroscience (283 citations). Marja‐Leena Linne has collaborated with scholars based in Finland, United States and Norway. Frequent co-authors include Tiina Manninen, Tuula O. Jalonen, Olli Yli‐Harja, Jertta‐Riina Sarkanen, Keijo Ruohonen, Tuomo Mäki‐Marttunen, Aušra Saudargienė, Kim T. Blackwell, Jeanette Hellgren Kotaleski and Lassi Paunonen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.
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.