Kaisu Nikali

1.4k total citations
10 papers, 388 citations indexed

About

Kaisu Nikali is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Clinical Biochemistry. According to data from OpenAlex, Kaisu Nikali has authored 10 papers receiving a total of 388 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 2 papers in Clinical Biochemistry. Recurrent topics in Kaisu Nikali's work include Mitochondrial Function and Pathology (10 papers), Genetic Neurodegenerative Diseases (8 papers) and DNA Repair Mechanisms (2 papers). Kaisu Nikali is often cited by papers focused on Mitochondrial Function and Pathology (10 papers), Genetic Neurodegenerative Diseases (8 papers) and DNA Repair Mechanisms (2 papers). Kaisu Nikali collaborates with scholars based in Finland, United States and United Kingdom. Kaisu Nikali's co-authors include Anu Suomalainen, Leena Peltonen, Tuula Lönnqvist, Juha Saharinen, Johannes N. Spelbrink, Mikko Kuokkanen, Joseph D. Terwilliger, J. Weissenbach, Helena Pihko and Anders Paetau and has published in prestigious journals such as FEBS Letters, Genome Research and Human Molecular Genetics.

In The Last Decade

Kaisu Nikali

10 papers receiving 370 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaisu Nikali Finland 7 290 150 122 87 33 10 388
Marja-Liisa Savontaus Finland 10 279 1.0× 131 0.9× 133 1.1× 62 0.7× 43 1.3× 10 446
Cathy E. Woodward United Kingdom 13 420 1.4× 100 0.7× 259 2.1× 53 0.6× 65 2.0× 20 566
Katarzyna Tońska Poland 14 400 1.4× 46 0.3× 149 1.2× 44 0.5× 45 1.4× 40 502
Claire Guissart France 12 174 0.6× 76 0.5× 42 0.3× 73 0.8× 65 2.0× 22 301
Kathrin Jeltsch Germany 9 160 0.6× 98 0.7× 198 1.6× 84 1.0× 31 0.9× 18 387
A. Caño France 7 250 0.9× 76 0.5× 133 1.1× 44 0.5× 16 0.5× 19 366
Ilaria D’Amato Italy 6 236 0.8× 68 0.5× 88 0.7× 39 0.4× 27 0.8× 8 320
Ayelet Zerem Israel 11 180 0.6× 42 0.3× 40 0.3× 127 1.5× 28 0.8× 22 321
Yoshinori Tanno Japan 10 446 1.5× 160 1.1× 226 1.9× 72 0.8× 71 2.2× 15 525
G. Van Goethem Belgium 8 452 1.6× 141 0.9× 282 2.3× 110 1.3× 44 1.3× 9 561

Countries citing papers authored by Kaisu Nikali

Since Specialization
Citations

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

Fields of papers citing papers by Kaisu Nikali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaisu Nikali

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

All Works

10 of 10 papers shown
1.
Nikali, Kaisu, Mari‐Wyn Burley, Gabriel Bedoya, et al.. (2008). Extensive founder effect for distal renal tubular acidosis (dRTA) with sensorineural deafness in an isolated South American population. American Journal of Medical Genetics Part A. 146A(20). 2709–2712. 6 indexed citations
2.
Nikali, Kaisu, Anu Suomalainen, Juha Saharinen, et al.. (2005). Infantile onset spinocerebellar ataxia is caused by recessive mutations in mitochondrial proteins Twinkle and Twinky. Human Molecular Genetics. 14(20). 2981–2990. 148 indexed citations
3.
4.
Li, Fangyuan, Kaisu Nikali, Juraj Gregáň, et al.. (2001). Characterization of a novel human putative mitochondrial transporter homologous to the yeast mitochondrial RNA splicing proteins 3 and 4. FEBS Letters. 494(1-2). 79–84. 37 indexed citations
5.
Lönnqvist, Tuula, Anders Paetau, Kaisu Nikali, Kristina von Boguslawski, & Helena Pihko. (1998). Infantile onset spinocerebellar ataxia with sensory neuropathy (IOSCA): neuropathological features. Journal of the Neurological Sciences. 161(1). 57–65. 39 indexed citations
6.
Nikali, Kaisu. (1998). Molecular genetics of infantile onset spinocerebellar ataxia. STM:n Hallinnonalan avoin julkaisuarkisto (Julkari). 5 indexed citations
7.
Nikali, Kaisu, et al.. (1997). Toward Cloning of a Novel Ataxia Gene: Refined Assignment and Physical Map of the IOSCA Locus (SCA8) on 10q24. Genomics. 39(2). 185–191. 40 indexed citations
8.
Varilo, Teppo, Kaisu Nikali, Anu Suomalainen, Tuula Lönnqvist, & Leena Peltonen. (1996). Tracing an ancestral mutation: genealogical and haplotype analysis of the infantile onset spinocerebellar ataxia locus.. Genome Research. 6(9). 870–875. 19 indexed citations
9.
Nikali, Kaisu, et al.. (1995). Random search for shared chromosomal regions in four affected individuals: the assignment of a new hereditary ataxia locus.. PubMed. 56(5). 1088–95. 84 indexed citations
10.
Nikali, Kaisu, et al.. (1994). Infantile Onset Spinocerebellar Ataxia Represents an Allelic Disease Distinct from Other Hereditary Ataxias. Pediatric Research. 36(5). 607–611. 8 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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