Anna Kuta

740 citations
13 papers · 543 · h-index 12

Impact in

    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
  • Cell Biology top 10%
    • Hippo pathway signaling and YAP/TAZ
    • Microtubule and mitosis dynamics

Papers in

    • Wnt/β-catenin signaling in development and cancer 2
    • RNA Research and Splicing 2
    • Developmental Biology and Gene Regulation 2
    • Microtubule and mitosis dynamics 4
    • Hippo pathway signaling and YAP/TAZ 3

Anna Kuta

13 papers receiving 533 citations

Peers

Anna Kuta
Comparison fields: 5 of 66
  • Immunology 180
  • Cell Biology 123
  • Oncology 184
  • Genetics 51
  • Neurology 62
Replace Cristina Vanni with:
Cristina Vanni Italy
Noriyuki Tsukamoto Japan
Matthew D. Keefe United States
Peter Mercado United States
Panojot Bifsha Canada
Eiji Satoh Japan
Jürgen Deka United Kingdom
Holger Weishaupt Sweden
Gilbert J. Rahme United States
Egle Balciunaite United States
Anna Kuta relative to Cristina Vanni Italy Cristina Vanni's profile →
Citations per field
00.5×4.3×
Cristina Vanni · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Anna Kuta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Anna Kuta Line = papers co-authored together Anna Kuta links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2017162
2 201459
3 200857
4 201643
5 201641
6 201940
7 201331
8 201030
9 201624
10 201223
11 201416
12 201212
13 20105

About Anna Kuta

Anna Kuta is a scholar working on Molecular Biology, Cell Biology, Oncology, Immunology and Otorhinolaryngology, having authored 13 papers that have together received 543 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (4 papers), Hippo pathway signaling and YAP/TAZ (3 papers), Immune Cell Function and Interaction (3 papers), Wnt/β-catenin signaling in development and cancer (2 papers), CAR-T cell therapy research (2 papers), RNA Research and Splicing (2 papers), Developmental Biology and Gene Regulation (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Immunology (180 citations), Cell Biology (123 citations), Oncology (184 citations), Genetics (51 citations) and Neurology (62 citations). Anna Kuta has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Jie Deng, Randolph J. Noelle, Isabelle Le Mercier, Elizabeth Fisher, Aurélien Sarde, Elizabeth C. Nowak, J. Louise Lines, Rodwell Mabaera, Gareth Banks and Frederick S. Varn. Their work appears in journals such as PLoS ONE, Current Biology, Human Molecular Genetics, Nature Communications and Brain.

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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