Kaia Achim

1.6k total citations
21 papers, 762 citations indexed

About

Kaia Achim is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Developmental Neuroscience. According to data from OpenAlex, Kaia Achim has authored 21 papers receiving a total of 762 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 6 papers in Developmental Neuroscience. Recurrent topics in Kaia Achim's work include Single-cell and spatial transcriptomics (7 papers), Neurogenesis and neuroplasticity mechanisms (6 papers) and Neuroscience and Neuropharmacology Research (4 papers). Kaia Achim is often cited by papers focused on Single-cell and spatial transcriptomics (7 papers), Neurogenesis and neuroplasticity mechanisms (6 papers) and Neuroscience and Neuropharmacology Research (4 papers). Kaia Achim collaborates with scholars based in Finland, Germany and United Kingdom. Kaia Achim's co-authors include Detlev Arendt, Juha Partanen, John C. Marioni, Jean‐Baptiste Pettit, Daria Gavriouchkina, Luís R. Saraiva, Tomas Larsson, Marjo Salminen, Paola Bertucci and Jacob M. Musser and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and Development.

In The Last Decade

Kaia Achim

19 papers receiving 760 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kaia Achim Finland 14 554 162 101 91 77 21 762
Tracy Yamawaki United States 9 292 0.5× 111 0.7× 42 0.4× 57 0.6× 51 0.7× 15 651
Stella M.K. Glasauer Switzerland 11 625 1.1× 166 1.0× 34 0.3× 45 0.5× 183 2.4× 16 1.1k
Xesús M. Abalo Spain 19 541 1.0× 329 2.0× 27 0.3× 96 1.1× 250 3.2× 27 902
Nikolaus D. Obholzer United States 16 696 1.3× 145 0.9× 63 0.6× 52 0.6× 389 5.1× 26 1.2k
Kenichiro D. Uno Japan 6 562 1.0× 196 1.2× 41 0.4× 20 0.2× 49 0.6× 9 902
Zach M. Collins United States 5 536 1.0× 60 0.4× 94 0.9× 35 0.4× 96 1.2× 6 693
Michael J. McConnell United States 11 800 1.4× 87 0.5× 46 0.5× 86 0.9× 72 0.9× 18 1.1k
Andrew Prendergast United States 16 356 0.6× 244 1.5× 41 0.4× 160 1.8× 415 5.4× 24 920
Georgeann S. O’Brien United States 8 640 1.2× 180 1.1× 24 0.2× 75 0.8× 123 1.6× 10 841
Ariel M. Pani United States 13 796 1.4× 105 0.6× 46 0.5× 51 0.6× 255 3.3× 26 1.3k

Countries citing papers authored by Kaia Achim

Since Specialization
Citations

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

Fields of papers citing papers by Kaia Achim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaia Achim

This figure shows the co-authorship network connecting the top 25 collaborators of Kaia Achim. A scholar is included among the top collaborators of Kaia Achim 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 Kaia Achim. Kaia Achim 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.
Andersson, Simon, Sami Kilpinen, Emilia Kuuluvainen, et al.. (2025). Old mitochondria regulate niche renewal via α-ketoglutarate metabolism in stem cells. Nature Metabolism. 7(7). 1344–1357. 2 indexed citations
2.
Achim, Kaia. (2024). Epigenetic and transcriptional regulation of neuron phenotype. The International Journal of Developmental Biology. 68(4). 199–209.
3.
4.
5.
Partanen, Juha & Kaia Achim. (2022). Neurons gating behavior—developmental, molecular and functional features of neurons in the Substantia Nigra pars reticulata. Frontiers in Neuroscience. 16. 976209–976209. 9 indexed citations
6.
Morello, Francesca, Anna Kirjavainen, Laura Lahti, et al.. (2020). Molecular Fingerprint and Developmental Regulation of the Tegmental GABAergic and Glutamatergic Neurons Derived from the Anterior Hindbrain. Cell Reports. 33(2). 108268–108268. 14 indexed citations
7.
Vopálenský, Pavel, Maria Antonietta Tosches, Kaia Achim, Mette Handberg-Thorsager, & Detlev Arendt. (2019). From spiral cleavage to bilateral symmetry: the developmental cell lineage of the annelid brain. BMC Biology. 17(1). 81–81. 13 indexed citations
8.
Arendt, Detlev, Paola Bertucci, Kaia Achim, & Jacob M. Musser. (2019). Evolution of neuronal types and families. Current Opinion in Neurobiology. 56. 144–152. 77 indexed citations
9.
Achim, Kaia, Nils Eling, Hernando Martínez Vergara, et al.. (2018). Whole-Body Single-Cell Sequencing Reveals Transcriptional Domains in the Annelid Larval Body. Molecular Biology and Evolution. 35(5). 1047–1062. 38 indexed citations
10.
Vergara, Hernando Martínez, Paola Bertucci, Péter Hantz, et al.. (2017). Whole-organism cellular gene-expression atlas reveals conserved cell types in the ventral nerve cord of Platynereis dumerilii. Proceedings of the National Academy of Sciences. 114(23). 5878–5885. 43 indexed citations
11.
Achim, Kaia, Hernando Martínez Vergara, & Jean‐Baptiste Pettit. (2017). Spatial Transcriptomics: Constructing a Single-Cell Resolution Transcriptome-Wide Expression Atlas. Methods in molecular biology. 1649. 111–125. 3 indexed citations
12.
Haugas, Maarja, et al.. (2016). Gata2 and Gata3 regulate the differentiation of serotonergic and glutamatergic neuron subtypes of the dorsal raphe. Development. 143(23). 4495–4508. 26 indexed citations
13.
Achim, Kaia, Jean‐Baptiste Pettit, Luís R. Saraiva, et al.. (2015). High-throughput spatial mapping of single-cell RNA-seq data to tissue of origin. Nature Biotechnology. 33(5). 503–509. 294 indexed citations
14.
Achim, Kaia & Detlev Arendt. (2014). Structural evolution of cell types by step-wise assembly of cellular modules. Current Opinion in Genetics & Development. 27. 102–108. 35 indexed citations
15.
Pettit, Jean‐Baptiste, Raju Tomer, Kaia Achim, et al.. (2014). Identifying Cell Types from Spatially Referenced Single-Cell Expression Datasets. PLoS Computational Biology. 10(9). e1003824–e1003824. 21 indexed citations
16.
Scialdone, Antonio, Kaia Achim, & John C. Marioni. (2014). Single Cell Genomics meeting in Stockholm: from single cells to cell types. Genome biology. 15(10). 496–496. 1 indexed citations
17.
Achim, Kaia, Marjo Salminen, & Juha Partanen. (2013). Mechanisms regulating GABAergic neuron development. Cellular and Molecular Life Sciences. 71(8). 1395–1415. 43 indexed citations
18.
Lahti, Laura, Kaia Achim, & Juha Partanen. (2013). Molecular regulation of GABAergic neuron differentiation and diversity in the developing midbrain. Acta Physiologica. 207(4). 616–627. 27 indexed citations
19.
Achim, Kaia, et al.. (2012). Transcriptional regulatory mechanisms underlying the GABAergic neuron fate in different diencephalic prosomeres. Development. 139(20). 3795–3805. 39 indexed citations
20.
Achim, Kaia, Paula Peltopuro, Laura Lahti, et al.. (2012). Distinct developmental origins and regulatory mechanisms for GABAergic neurons associated with dopaminergic nuclei in the ventral mesodiencephalic region. Development. 139(13). 2360–2370. 26 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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