Anna Kuta

740 total citations
13 papers, 543 citations indexed

About

Anna Kuta is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Anna Kuta has authored 13 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cell Biology and 3 papers in Oncology. Recurrent topics in Anna Kuta's work include Microtubule and mitosis dynamics (4 papers), Hippo pathway signaling and YAP/TAZ (3 papers) and Immune Cell Function and Interaction (3 papers). Anna Kuta is often cited by papers focused on Microtubule and mitosis dynamics (4 papers), Hippo pathway signaling and YAP/TAZ (3 papers) and Immune Cell Function and Interaction (3 papers). Anna Kuta collaborates with scholars based in United Kingdom, United States and Canada. Anna Kuta's co-authors include Jie Deng, Randolph J. Noelle, Isabelle Le Mercier, Elizabeth Fisher, Rodwell Mabaera, J. Louise Lines, Aurélien Sarde, Elizabeth C. Nowak, Gareth Banks and Philippa H. Francis‐West and has published in prestigious journals such as Nature Communications, PLoS ONE and Brain.

In The Last Decade

Anna Kuta

13 papers receiving 533 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Kuta United Kingdom 12 203 184 180 123 62 13 543
Cristina Vanni Italy 13 297 1.5× 83 0.5× 215 1.2× 128 1.0× 31 0.5× 24 624
Noriyuki Tsukamoto Japan 9 356 1.8× 94 0.5× 159 0.9× 84 0.7× 21 0.3× 10 617
Sandra Bondong Germany 8 305 1.5× 183 1.0× 114 0.6× 86 0.7× 35 0.6× 8 571
Amy L. Sillman United States 8 231 1.1× 85 0.5× 166 0.9× 112 0.9× 36 0.6× 10 515
Panojot Bifsha Canada 7 160 0.8× 131 0.7× 175 1.0× 25 0.2× 35 0.6× 8 408
Peter Mercado United States 7 290 1.4× 227 1.2× 246 1.4× 41 0.3× 21 0.3× 8 669
Matthias Dedobbeleer Belgium 9 295 1.5× 163 0.9× 69 0.4× 175 1.4× 34 0.5× 10 521
Elisa Tomellini Canada 10 336 1.7× 111 0.6× 132 0.7× 53 0.4× 15 0.2× 13 629
Holger Weishaupt Sweden 13 393 1.9× 94 0.5× 116 0.6× 40 0.3× 39 0.6× 26 571
Kaloyan M. Tsanov United States 7 539 2.7× 205 1.1× 111 0.6× 35 0.3× 58 0.9× 11 790

Countries citing papers authored by Anna Kuta

Since Specialization
Citations

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

Fields of papers citing papers by Anna Kuta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Kuta

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

All Works

13 of 13 papers shown
1.
Broughton, Thomas, Mohamed ElTanbouly, Evelien Schaafsma, et al.. (2019). Defining the Signature of VISTA on Myeloid Cell Chemokine Responsiveness. Frontiers in Immunology. 10. 2641–2641. 40 indexed citations
2.
Nowak, Elizabeth C., J. Louise Lines, Frederick S. Varn, et al.. (2017). Immunoregulatory functions of VISTA. Immunological Reviews. 276(1). 66–79. 162 indexed citations
3.
Deng, Jie, Isabelle Le Mercier, Anna Kuta, & Randolph J. Noelle. (2016). A New VISTA on combination therapy for negative checkpoint regulator blockade. Journal for ImmunoTherapy of Cancer. 4(1). 86–86. 41 indexed citations
4.
Mao, Yaopan, et al.. (2016). Dchs1–Fat4 regulation of polarized cell behaviours during skeletal morphogenesis. Nature Communications. 7(1). 11469–11469. 43 indexed citations
5.
Kuta, Anna, Yaopan Mao, Sana Zakaria, et al.. (2016). Fat4-Dchs1 signalling controls cell proliferation in developing vertebrae. Development. 143(13). 2367–2375. 24 indexed citations
6.
Zakaria, Sana, Yaopan Mao, Anna Kuta, et al.. (2014). Regulation of Neuronal Migration by Dchs1-Fat4 Planar Cell Polarity. Current Biology. 24(14). 1620–1627. 59 indexed citations
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Kobayashi, Gerson Shigeru, Lucas Alvizi, Daniele Yumi Sunaga, et al.. (2013). Susceptibility to DNA Damage as a Molecular Mechanism for Non-Syndromic Cleft Lip and Palate. PLoS ONE. 8(6). e65677–e65677. 31 indexed citations
9.
Pope, Benjamin D., Tamir Chandra, Matthew Hoare, et al.. (2012). Replication-timing boundaries facilitate cell-type and species-specific regulation of a rearranged human chromosome in mouse. Human Molecular Genetics. 21(19). 4162–4170. 23 indexed citations
10.
Kuta, Anna, et al.. (2012). A novel phenotype for the dynein heavy chain mutation Loa: Altered dendritic morphology, organelle density, and reduced numbers of trigeminal motoneurons. The Journal of Comparative Neurology. 520(12). 2757–2773. 12 indexed citations
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Banks, Gareth, Anna Kuta, Adrian M. Isaacs, & Elizabeth Fisher. (2008). TDP-43 is a culprit in human neurodegeneration, and not just an innocent bystander. Mammalian Genome. 19(5). 299–305. 57 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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2026