Kai Kysenius

1.0k total citations
33 papers, 641 citations indexed

About

Kai Kysenius is a scholar working on Molecular Biology, Neurology and Physiology. According to data from OpenAlex, Kai Kysenius has authored 33 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Neurology and 6 papers in Physiology. Recurrent topics in Kai Kysenius's work include Amyotrophic Lateral Sclerosis Research (6 papers), Alzheimer's disease research and treatments (5 papers) and Trace Elements in Health (5 papers). Kai Kysenius is often cited by papers focused on Amyotrophic Lateral Sclerosis Research (6 papers), Alzheimer's disease research and treatments (5 papers) and Trace Elements in Health (5 papers). Kai Kysenius collaborates with scholars based in Australia, Finland and United States. Kai Kysenius's co-authors include Henri J. Huttunen, Peter J. Crouch, Kert Mätlik, Urmas Arumäe, James B. Hilton, Cecilia A. Brunello, Dominic J. Hare, Jeffrey R. Liddell, Bence Paul and Ashley I. Bush and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Biochemistry.

In The Last Decade

Kai Kysenius

29 papers receiving 639 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Kysenius Australia 16 204 138 102 94 88 33 641
Masanori Sawamura Japan 15 547 2.7× 190 1.4× 116 1.1× 112 1.2× 123 1.4× 57 1.1k
Soo Kyoung Choi South Korea 17 336 1.6× 196 1.4× 128 1.3× 41 0.4× 116 1.3× 62 935
Satoru Oshiro Japan 11 447 2.2× 115 0.8× 70 0.7× 57 0.6× 87 1.0× 21 924
Ning Lü China 8 590 2.9× 239 1.7× 44 0.4× 73 0.8× 103 1.2× 14 1.0k
Xuan Gao China 15 331 1.6× 65 0.5× 83 0.8× 45 0.5× 26 0.3× 36 671
Dariusz Suchy Poland 10 270 1.3× 134 1.0× 111 1.1× 41 0.4× 21 0.2× 12 622
Hideyuki Nishi Japan 10 166 0.8× 122 0.9× 105 1.0× 57 0.6× 19 0.2× 63 872
Liqiu Mo China 17 330 1.6× 223 1.6× 50 0.5× 116 1.2× 34 0.4× 22 959
Takashi Ota Japan 16 478 2.3× 218 1.6× 99 1.0× 135 1.4× 45 0.5× 37 1.2k

Countries citing papers authored by Kai Kysenius

Since Specialization
Citations

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

Fields of papers citing papers by Kai Kysenius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Kysenius

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Kysenius. A scholar is included among the top collaborators of Kai Kysenius 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 Kai Kysenius. Kai Kysenius 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.
Hilton, James B., Kai Kysenius, Jeffrey R. Liddell, et al.. (2024). Evidence for decreased copper associated with demyelination in the corpus callosum of cuprizone-treated mice. Metallomics. 16(1). 9 indexed citations
2.
Kysenius, Kai, Iiro Toppila, Tatu A. Miettinen, et al.. (2024). Comorbidities and survival of multiple myeloma patients diagnosed in Finland between 2000 and 2021. Annals of Hematology. 103(8). 2931–2943. 4 indexed citations
3.
Liddell, Jeffrey R., James B. Hilton, Kai Kysenius, et al.. (2024). Microglial ferroptotic stress causes non-cell autonomous neuronal death. Molecular Neurodegeneration. 19(1). 14–14. 31 indexed citations
4.
Hilton, James B., Kai Kysenius, Jeffrey R. Liddell, et al.. (2024). Integrated elemental analysis supports targeting copper perturbations as a therapeutic strategy in multiple sclerosis. Neurotherapeutics. 21(5). e00432–e00432.
5.
6.
Liddell, Jeffrey R., James B. Hilton, Yajun Wang, et al.. (2024). Decreased spinal cord motor neuron numbers in mice depleted of central nervous system copper. Metallomics. 16(9).
7.
Havula, Essi, Kai Kysenius, Iiro Toppila, et al.. (2024). A real-world study on the impact of infection load on mortality in multiple myeloma patients in Finland. Annals of Hematology. 104(4). 2373–2385.
8.
9.
Nikseresht, Sara, James B. Hilton, Jeffrey R. Liddell, et al.. (2022). Transdermal Application of Soluble CuII(atsm) Increases Brain and Spinal Cord Uptake Compared to Gavage with an Insoluble Suspension. Neuroscience. 509. 125–131. 3 indexed citations
10.
Toppila, Iiro, et al.. (2022). Comorbidity characteristics of multiple myeloma patients diagnosed in Finland 2005–2016. Annals of Hematology. 101(11). 2485–2495. 8 indexed citations
11.
Kysenius, Kai, Yifan Huang, Mark D. Habgood, et al.. (2021). Lithium administered to pregnant, lactating and neonatal rats: entry into developing brain. Fluids and Barriers of the CNS. 18(1). 57–57. 7 indexed citations
12.
Paul, Bence, Kai Kysenius, James B. Hilton, et al.. (2021). An integrated mass spectrometry imaging and digital pathology workflow for objective detection of colorectal tumours by unique atomic signatures. Chemical Science. 12(30). 10321–10333. 13 indexed citations
13.
Alves, Francesca, Kai Kysenius, Marissa K. Caldow, et al.. (2021). Iron accumulation in skeletal muscles of old mice is associated with impaired regeneration after ischaemia–reperfusion damage. Journal of Cachexia Sarcopenia and Muscle. 12(2). 476–492. 31 indexed citations
14.
Hilton, James B., Kai Kysenius, Anthony R. White, & Peter J. Crouch. (2018). The accumulation of enzymatically inactive cuproenzymes is a CNS-specific phenomenon of the SOD1G37R mouse model of ALS and can be restored by overexpressing the human copper transporter hCTR1. Experimental Neurology. 307. 118–128. 23 indexed citations
15.
Kysenius, Kai, Bence Paul, James B. Hilton, et al.. (2018). A versatile quantitative microdroplet elemental imaging method optimised for integration in biochemical workflows for low-volume samples. Analytical and Bioanalytical Chemistry. 411(3). 603–616. 19 indexed citations
16.
Hare, Dominic J., Kai Kysenius, Bence Paul, et al.. (2017). Imaging Metals in Brain Tissue by Laser Ablation - Inductively Coupled Plasma - Mass Spectrometry (LA-ICP-MS). Journal of Visualized Experiments. 34 indexed citations
17.
Kysenius, Kai & Henri J. Huttunen. (2016). Stress-induced upregulation of VLDL receptor alters Wnt-signaling in neurons. Experimental Cell Research. 340(2). 238–247. 21 indexed citations
18.
Kysenius, Kai, et al.. (2012). PCSK9 regulates neuronal apoptosis by adjusting ApoER2 levels and signaling. Cellular and Molecular Life Sciences. 69(11). 1903–1916. 112 indexed citations
19.
Nykänen, Niko-Petteri, et al.. (2012). γ-Aminobutyric Acid Type A (GABAA) Receptor Activation Modulates Tau Phosphorylation. Journal of Biological Chemistry. 287(9). 6743–6752. 39 indexed citations
20.
Shulga, Anastasia, Kai Kysenius, Henri J. Huttunen, et al.. (2009). Thyroxin regulates BDNF expression to promote survival of injured neurons. Molecular and Cellular Neuroscience. 42(4). 408–418. 44 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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