Katja M. Kanninen

6.2k total citations · 1 hit paper
106 papers, 4.0k citations indexed

About

Katja M. Kanninen is a scholar working on Physiology, Molecular Biology and Neurology. According to data from OpenAlex, Katja M. Kanninen has authored 106 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Physiology, 30 papers in Molecular Biology and 29 papers in Neurology. Recurrent topics in Katja M. Kanninen's work include Neuroinflammation and Neurodegeneration Mechanisms (25 papers), Alzheimer's disease research and treatments (25 papers) and Air Quality and Health Impacts (14 papers). Katja M. Kanninen is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (25 papers), Alzheimer's disease research and treatments (25 papers) and Air Quality and Health Impacts (14 papers). Katja M. Kanninen collaborates with scholars based in Finland, Australia and United States. Katja M. Kanninen's co-authors include Tarja Malm, Jari Koıstınaho, Jeffrey R. Liddell, Gundars Goldsteins, Riikka Lampinen, Heikki Tanila, Anthony R. White, Anna–Liisa Levonen, Sanna Loppi and Velta Keksa-Goldsteine and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Katja M. Kanninen

104 papers receiving 4.0k citations

Hit Papers

Targeting Nrf2 to Suppress Ferroptosis and Mitochondrial ... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katja M. Kanninen Finland 35 2.0k 1.1k 792 554 473 106 4.0k
Shao‐Hua Yang United States 41 1.6k 0.8× 881 0.8× 1.1k 1.4× 401 0.7× 752 1.6× 89 4.5k
Plamena R. Angelova United Kingdom 32 2.5k 1.3× 1.1k 1.0× 617 0.8× 946 1.7× 817 1.7× 78 4.8k
Amalia M. Dolga Netherlands 36 2.1k 1.1× 629 0.6× 483 0.6× 369 0.7× 825 1.7× 121 3.8k
Jan Lewerenz Germany 29 1.9k 1.0× 580 0.5× 520 0.7× 974 1.8× 950 2.0× 79 4.5k
Ülkan Kılıç Türkiye 36 1.5k 0.8× 715 0.7× 979 1.2× 277 0.5× 648 1.4× 101 4.3k
Luigi Sironi Italy 39 1.4k 0.7× 598 0.6× 952 1.2× 291 0.5× 470 1.0× 100 4.4k
Jun Peng China 36 2.1k 1.1× 547 0.5× 522 0.7× 589 1.1× 691 1.5× 137 3.8k
Li‐Fang Hu China 43 1.6k 0.8× 1.0k 1.0× 553 0.7× 664 1.2× 544 1.2× 79 5.0k
Tarja Malm Finland 42 2.6k 1.3× 1.8k 1.7× 1.7k 2.2× 416 0.8× 826 1.7× 135 5.8k
Meng‐Liang Zhou China 39 1.9k 1.0× 614 0.6× 1.1k 1.4× 1.6k 2.8× 225 0.5× 123 4.3k

Countries citing papers authored by Katja M. Kanninen

Since Specialization
Citations

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

Fields of papers citing papers by Katja M. Kanninen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katja M. Kanninen. 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 Katja M. Kanninen. The network helps show where Katja M. Kanninen may publish in the future.

Co-authorship network of co-authors of Katja M. Kanninen

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

All Works

20 of 20 papers shown
1.
Lintusaari, Henna, Sanna Saarikoski, Laura Salo, et al.. (2025). Importance of sub-23 nm particles in traffic environments: Particle number emission factors and extrathoracic deposition doses. Environmental Pollution. 369. 125835–125835. 2 indexed citations
2.
Gómez‐Budia, Mireia, Sohvi Ohtonen, Ilkka Fagerlund, et al.. (2024). Particulate matter from car exhaust alters function of human iPSC-derived microglia. Particle and Fibre Toxicology. 21(1). 6–6. 5 indexed citations
3.
Chou, Wei‐Chun, Anna Oudin, Katja M. Kanninen, et al.. (2024). Adverse outcome pathway for the neurotoxicity of per- and polyfluoroalkyl substances: A systematic review. SHILAP Revista de lepidopterología. 3(4). 476–493. 16 indexed citations
4.
Puris, Elena, Liudmila Saveleva, Seppo Auriola, et al.. (2024). Sex-specific changes in protein expression of membrane transporters in the brain cortex of 5xFAD mouse model of Alzheimer’s disease. Frontiers in Pharmacology. 15. 1365051–1365051. 1 indexed citations
5.
Andersson, John, Bin Zhao, Anna Oudin, et al.. (2024). Neurotoxicity of fine and ultrafine particulate matter: A comprehensive review using a toxicity pathway-oriented adverse outcome pathway framework. The Science of The Total Environment. 947. 174450–174450. 12 indexed citations
6.
Kuivanen, Suvi, Alexey М. Afonin, Anne M. Koivisto, et al.. (2024). Exposure to urban particulate matter alters responses of olfactory mucosal cells to SARS-CoV-2 infection. Environmental Research. 249. 118451–118451.
7.
Ruponen, Marika, Jarkko Rautio, Riikka Lampinen, et al.. (2024). A technological comparison of freeze-dried poly-ɛ-caprolactone (PCL) and poly (lactic-co-glycolic acid) (PLGA) nanoparticles loaded with clozapine for nose-to-brain delivery. Journal of Drug Delivery Science and Technology. 93. 105419–105419. 9 indexed citations
8.
Öhman, Anders, Katja M. Kanninen, Pasi Jalava, et al.. (2024). Metabolic profiles associated with exposure to ambient particulate air pollution: findings from the Betula cohort. Frontiers in Public Health. 12. 1401006–1401006. 1 indexed citations
9.
Maciel, Izaque de Sousa, Alexey М. Afonin, Jordi Júlvez, et al.. (2023). Plasma proteomics discovery of mental health risk biomarkers in adolescents. Nature Mental Health. 1(8). 596–605. 7 indexed citations
11.
Saveleva, Liudmila, Irina Belaya, Henna Konttinen, et al.. (2022). Subacute inhalation of ultrafine particulate matter triggers inflammation without altering amyloid beta load in 5xFAD mice. NeuroToxicology. 89. 55–66. 13 indexed citations
12.
Högberg, Helena T., Laure‐Alix Clerbaux, Anna Bal‐Price, et al.. (2022). The Adverse Outcome Pathway Framework Applied to Neurological Symptoms of COVID-19. Cells. 11(21). 3411–3411. 11 indexed citations
13.
Gynther, Mikko, Sanna Loppi, Paula Korhonen, et al.. (2022). Increased Expression and Activity of Brain Cortical cPLA2 Due to Chronic Lipopolysaccharide Administration in Mouse Model of Familial Alzheimer’s Disease. Pharmaceutics. 14(11). 2438–2438. 10 indexed citations
14.
Kanninen, Katja M., et al.. (2021). Increased iron content in the heart of the Fmr1 knockout mouse. BioMetals. 34(4). 947–954. 7 indexed citations
15.
Gómez‐Budia, Mireia, Henna Konttinen, Liudmila Saveleva, et al.. (2020). Glial smog: Interplay between air pollution and astrocyte-microglia interactions. Neurochemistry International. 136. 104715–104715. 37 indexed citations
16.
Konttinen, Henna, Irina Gureviciene, Minna Oksanen, et al.. (2018). PPARβ/δ‐agonist GW0742 ameliorates dysfunction in fatty acid oxidation in PSEN1ΔE9 astrocytes. Glia. 67(1). 146–159. 42 indexed citations
17.
Liddell, Jeffrey R., Šárka Lehtonen, Clare Duncan, et al.. (2016). Pyrrolidine dithiocarbamate activates the Nrf2 pathway in astrocytes. Journal of Neuroinflammation. 13(1). 49–49. 42 indexed citations
18.
Pomeshchik, Yuriy, Ekaterina Savchenko, Taisia Rõlova, et al.. (2013). Does Nrf2 Gene Transfer Facilitate Recovery After Contusion Spinal Cord Injury?. Antioxidants and Redox Signaling. 20(8). 1313–1323. 18 indexed citations
19.
Pihlaja, Rea, Eveliina Pollari, Katja M. Kanninen, et al.. (2012). Adult and neonatal astrocytes exhibit diverse gene expression profiles in response to beta amyloid <i>ex vivo</i>. World Journal of Neuroscience. 2(2). 57–67. 6 indexed citations
20.
Kanninen, Katja M., Gundars Goldsteins, Seppo Auriola, Irina Alafuzoff, & Jari Koıstınaho. (2004). Glycosylation changes in Alzheimer’s disease as revealed by a proteomic approach. Neuroscience Letters. 367(2). 235–240. 82 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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