Sami Reijonen

691 total citations
7 papers, 605 citations indexed

About

Sami Reijonen is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cell Biology. According to data from OpenAlex, Sami Reijonen has authored 7 papers receiving a total of 605 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cellular and Molecular Neuroscience, 4 papers in Molecular Biology and 4 papers in Cell Biology. Recurrent topics in Sami Reijonen's work include Endoplasmic Reticulum Stress and Disease (4 papers), Genetic Neurodegenerative Diseases (4 papers) and Neuroscience and Neuropharmacology Research (2 papers). Sami Reijonen is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (4 papers), Genetic Neurodegenerative Diseases (4 papers) and Neuroscience and Neuropharmacology Research (2 papers). Sami Reijonen collaborates with scholars based in Finland, Sweden and Denmark. Sami Reijonen's co-authors include Dan Lindholm, Laura Korhonen, Noora Putkonen, Evgeny Pryazhnikov, Giuseppa Mudò, Leonard Khiroug, Natale Belluardo, Anne Nørremølle, Alise Hyrskyluoto and Jyrki P. Kukkonen and has published in prestigious journals such as Journal of Neuroscience, Human Molecular Genetics and Cellular and Molecular Life Sciences.

In The Last Decade

Sami Reijonen

7 papers receiving 596 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sami Reijonen Finland 6 345 310 188 183 78 7 605
Noora Putkonen Finland 5 288 0.8× 249 0.8× 141 0.8× 136 0.7× 65 0.8× 5 482
Carin A. Loewen United States 10 415 1.2× 441 1.4× 105 0.6× 239 1.3× 198 2.5× 12 747
Emmanouela Kallergi Greece 10 117 0.3× 220 0.7× 255 1.4× 129 0.7× 73 0.9× 11 583
Jenni E. Anttila Finland 12 104 0.3× 164 0.5× 87 0.5× 193 1.1× 81 1.0× 15 550
Marta A. Gaertig China 11 89 0.3× 371 1.2× 62 0.3× 333 1.8× 51 0.7× 11 597
Katsunori Nishi Japan 12 122 0.4× 203 0.7× 79 0.4× 307 1.7× 88 1.1× 23 640
Sunitha Rangaraju United States 11 57 0.2× 207 0.7× 87 0.5× 149 0.8× 117 1.5× 14 526
Rewati Potkar United States 6 112 0.3× 232 0.7× 313 1.7× 221 1.2× 290 3.7× 6 777
Zhiping Mi United States 11 44 0.1× 295 1.0× 54 0.3× 220 1.2× 131 1.7× 24 561
Filipe Nascimento United Kingdom 13 73 0.2× 138 0.4× 44 0.2× 123 0.7× 69 0.9× 26 427

Countries citing papers authored by Sami Reijonen

Since Specialization
Citations

This map shows the geographic impact of Sami Reijonen'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 Sami Reijonen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sami Reijonen more than expected).

Fields of papers citing papers by Sami Reijonen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sami Reijonen. 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 Sami Reijonen. The network helps show where Sami Reijonen may publish in the future.

Co-authorship network of co-authors of Sami Reijonen

This figure shows the co-authorship network connecting the top 25 collaborators of Sami Reijonen. A scholar is included among the top collaborators of Sami Reijonen 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 Sami Reijonen. Sami Reijonen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Reijonen, Sami, et al.. (2018). Post-Implementation Improvement of ERP System Usage in SMEs : An Empirical Study of E-Commerce Retail Companies in Sweden. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 indexed citations
2.
Hyrskyluoto, Alise, Sofia Lundh, Hoi Tang, et al.. (2014). Ubiquitin-specific protease-14 reduces cellular aggregates and protects against mutant huntingtin-induced cell degeneration: involvement of the proteasome and ER stress-activated kinase IRE1 . Human Molecular Genetics. 23(22). 5928–5939. 76 indexed citations
3.
Jäntti, Maria, Pauli M. Turunen, Johnny Näsman, et al.. (2012). Autocrine Endocannabinoid Signaling through CB1 Receptors Potentiates OX1 Orexin Receptor Signaling. Molecular Pharmacology. 83(3). 621–632. 34 indexed citations
4.
Hyrskyluoto, Alise, et al.. (2011). GADD34 mediates cytoprotective autophagy in mutant huntingtin expressing cells via the mTOR pathway. Experimental Cell Research. 318(1). 33–42. 38 indexed citations
5.
Reijonen, Sami, Jyrki P. Kukkonen, Alise Hyrskyluoto, et al.. (2010). Downregulation of NF-κB signaling by mutant huntingtin proteins induces oxidative stress and cell death. Cellular and Molecular Life Sciences. 67(11). 1929–1941. 41 indexed citations
6.
Reijonen, Sami, Noora Putkonen, Anne Nørremølle, Dan Lindholm, & Laura Korhonen. (2008). Inhibition of endoplasmic reticulum stress counteracts neuronal cell death and protein aggregation caused by N-terminal mutant huntingtin proteins. Experimental Cell Research. 314(5). 950–960. 133 indexed citations
7.
Putkonen, Noora, Giuseppa Mudò, Evgeny Pryazhnikov, et al.. (2007). Endoplasmic Reticulum Stress Inhibition Protects against Excitotoxic Neuronal Injury in the Rat Brain. Journal of Neuroscience. 27(4). 901–908. 282 indexed citations

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.

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