Kimmo Jokivarsi

1.8k total citations
36 papers, 1.3k citations indexed

About

Kimmo Jokivarsi is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kimmo Jokivarsi has authored 36 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Epidemiology and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Kimmo Jokivarsi's work include Advanced MRI Techniques and Applications (16 papers), Advanced Neuroimaging Techniques and Applications (11 papers) and Acute Ischemic Stroke Management (8 papers). Kimmo Jokivarsi is often cited by papers focused on Advanced MRI Techniques and Applications (16 papers), Advanced Neuroimaging Techniques and Applications (11 papers) and Acute Ischemic Stroke Management (8 papers). Kimmo Jokivarsi collaborates with scholars based in Finland, United States and United Kingdom. Kimmo Jokivarsi's co-authors include Michael Goitein, Thomas Bortfeld, Steve Jiang, Jong Kung, Olli Gröhn, Risto A. Kauppinen, Heidi Gröhn, Anna‐Liisa Brownell, Pekka Poutiainen and Yrjö Hiltunen and has published in prestigious journals such as Journal of the American Chemical Society, Circulation and Journal of Neuroscience.

In The Last Decade

Kimmo Jokivarsi

36 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kimmo Jokivarsi Finland 17 645 408 402 168 162 36 1.3k
Elisabeth Schültke Germany 20 436 0.7× 369 0.9× 375 0.9× 179 1.1× 65 0.4× 64 1.1k
Hidekatsu Wakizaka Japan 23 551 0.9× 320 0.8× 384 1.0× 337 2.0× 40 0.2× 103 1.5k
Ioannis Tsougos Greece 20 857 1.3× 160 0.4× 107 0.3× 97 0.6× 72 0.4× 97 1.4k
Christof Baltes Switzerland 22 842 1.3× 196 0.5× 139 0.3× 270 1.6× 32 0.2× 44 1.7k
Kyeong Min Kim South Korea 24 1.0k 1.6× 206 0.5× 241 0.6× 199 1.2× 240 1.5× 128 1.8k
Daniel Labar Belgium 22 911 1.4× 280 0.7× 135 0.3× 205 1.2× 64 0.4× 52 1.7k
Flemming Littrup Andersen Denmark 27 1.5k 2.4× 242 0.6× 249 0.6× 166 1.0× 61 0.4× 106 2.3k
H.‐J. Machulla Germany 18 1.1k 1.7× 231 0.6× 221 0.5× 197 1.2× 75 0.5× 43 1.7k
Geoffrey Warnock Switzerland 20 704 1.1× 114 0.3× 64 0.2× 133 0.8× 151 0.9× 53 1.2k
K. Hamacher Germany 16 1.2k 1.9× 279 0.7× 112 0.3× 336 2.0× 108 0.7× 33 2.1k

Countries citing papers authored by Kimmo Jokivarsi

Since Specialization
Citations

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

Fields of papers citing papers by Kimmo Jokivarsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimmo Jokivarsi

This figure shows the co-authorship network connecting the top 25 collaborators of Kimmo Jokivarsi. A scholar is included among the top collaborators of Kimmo Jokivarsi 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 Kimmo Jokivarsi. Kimmo Jokivarsi 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.
Wen, Huang, Jing Xia Qian, Vanessa Gómez‐Vallejo, et al.. (2024). A PEG-assisted membrane coating to prepare biomimetic mesoporous silicon for PET/CT imaging of triple-negative breast cancer. International Journal of Pharmaceutics. 652. 123764–123764. 11 indexed citations
2.
Wen, Huang, Ale Närvänen, Kimmo Jokivarsi, et al.. (2022). A robust approach to make inorganic nanovectors biotraceable. International Journal of Pharmaceutics. 624. 122040–122040. 2 indexed citations
3.
Takalo, Mari, Rebekka Wittrahm, Benedikt Wefers, et al.. (2020). The Alzheimer’s disease-associated protective Plcγ2-P522R variant promotes immune functions. Molecular Neurodegeneration. 15(1). 52–52. 53 indexed citations
4.
Koponen, Lari M., Matti Stenroos, Jaakko O. Nieminen, et al.. (2020). Individual head models for estimating the TMS-induced electric field in rat brain. Scientific Reports. 10(1). 17397–17397. 14 indexed citations
5.
6.
Nair, R., Henna Koivisto, Kimmo Jokivarsi, et al.. (2018). Impaired Mitochondrial Fatty Acid Synthesis Leads to Neurodegeneration in Mice. Journal of Neuroscience. 38(45). 9781–9800. 28 indexed citations
7.
Gabbouj, Sami, Teemu Natunen, Hennariikka Koivisto, et al.. (2018). Intranasal insulin activates Akt2 signaling pathway in the hippocampus of wild-type but not in APP/PS1 Alzheimer model mice. Neurobiology of Aging. 75. 98–108. 23 indexed citations
8.
Pereyra, Marcelo, et al.. (2017). Stroke onset time determination using MRI relaxation times without non-ischaemic reference in a rat stroke model. PubMed. 6(1-2). 25–35. 6 indexed citations
9.
Jokivarsi, Kimmo, et al.. (2017). A Magnetic Resonance Imaging Protocol for Stroke Onset Time Estimation in Permanent Cerebral Ischemia. Journal of Visualized Experiments. 2017(127). 13 indexed citations
10.
Pirttimäki, Tiina, Raimo A. Salo, Artem Shatillo, et al.. (2016). Implantable RF-coil with multiple electrodes for long-term EEG-fMRI monitoring in rodents. Journal of Neuroscience Methods. 274. 154–163. 14 indexed citations
11.
Knight, Michael J., et al.. (2016). Determining Stroke Onset Time Using Quantitative MRI: High Accuracy, Sensitivity and Specificity Obtained from Magnetic Resonance Relaxation Times. Cerebrovascular Diseases Extra. 6(2). 60–65. 5 indexed citations
12.
13.
Knight, Michael J., et al.. (2014). Timing the ischaemic stroke by 1H-MRI. Neuroreport. 25(15). 1180–1185. 11 indexed citations
14.
Kil, Kun-Eek, et al.. (2013). Radiosynthesis of N-(4-chloro-3-[11C]methoxyphenyl)-2-picolinamide ([11C]ML128) as a PET radiotracer for metabotropic glutamate receptor subtype 4 (mGlu4). Bioorganic & Medicinal Chemistry. 21(19). 5955–5962. 16 indexed citations
15.
Jokivarsi, Kimmo, Timo Liimatainen, Risto A. Kauppinen, Olli Gröhn, & Johanna Närväinen. (2013). Relaxation Along a Fictitious Field (RAFF) and Z-spectroscopy using Alternating-Phase Irradiation (ZAPI) in Permanent Focal Cerebral Ischemia in Rat. PLoS ONE. 8(7). e69157–e69157. 5 indexed citations
16.
Jokivarsi, Kimmo, Y. Iris Chen, Kenneth K. Kwong, Jacob M. Hooker, & Anna‐Liisa Brownell. (2012). Blood flow and oxygen extraction as biomarkers for activated brown adipose tissue. 53. 408–408. 1 indexed citations
17.
Chen, Y. Iris, Aaron M. Cypess, Anna‐Liisa Brownell, et al.. (2012). Anatomical and Functional Assessment of Brown Adipose Tissue by Magnetic Resonance Imaging. Obesity. 20(7). 1519–1526. 77 indexed citations
18.
Jokivarsi, Kimmo, Juha‐Pekka Niskanen, Shalom Michaeli, et al.. (2008). Quantitative Assessment of Water Pools by T1p and T2p MRI in Acute Cerebral Ischemia of the Rat. Journal of Cerebral Blood Flow & Metabolism. 29(1). 206–216. 44 indexed citations
19.
Yu, Meixiang, Kjell Någren, Y. Iris Chen, et al.. (2003). Radiolabeling and biodistribution of methyl 2-(methoxycarbonyl)-2-(methylamino) bicyclo [2.1.1] - hexane -5-carboxylate, a potential neuroprotective drug. Life Sciences. 73(12). 1577–1585. 4 indexed citations
20.
Bortfeld, Thomas, Kimmo Jokivarsi, Michael Goitein, Jong Kung, & Steve Jiang. (2002). Effects of intra-fraction motion on IMRT dose delivery: statistical analysis and simulation. Physics in Medicine and Biology. 47(13). 2203–2220. 410 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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