Ayana Kon

8.2k total citations
12 papers, 104 citations indexed

About

Ayana Kon is a scholar working on Hematology, Molecular Biology and Genetics. According to data from OpenAlex, Ayana Kon has authored 12 papers receiving a total of 104 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hematology, 6 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Ayana Kon's work include Acute Myeloid Leukemia Research (10 papers), RNA Research and Splicing (6 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers). Ayana Kon is often cited by papers focused on Acute Myeloid Leukemia Research (10 papers), RNA Research and Splicing (6 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers). Ayana Kon collaborates with scholars based in Japan, United States and Sweden. Ayana Kon's co-authors include Seishi Ogawa, Masashi Sanada, Kenichi Yoshida, Yasuhito Nannya, Hiromitsu Nakauchi, Satoshi Yamazaki, Masahiro Nakagawa, Tetsuichi Yoshizato, Yasunori Ota and Maiko Morita and has published in prestigious journals such as Blood, Cell Reports and Frontiers in Genetics.

In The Last Decade

Ayana Kon

10 papers receiving 104 citations

Peers

Ayana Kon

MB

HEMAT

GENET

IMMUN

CR

Charles Dussiau France

Elisabeth F. Heuston United States

Radovan Vasic United States

Ronald F. Siebenaler United States

Govardhan Anande Australia

Aino‐Maija Leppä Germany

Konstanze Doehner Germany

Ann-Kathrin Eisfeld United States

Matthieu Duchmann France

Bettina Moehrle Germany

Charles Dussiau France

Ayana Kon

51 ×0.7

MB

40 ×0.6

HEMAT

19 ×0.9

GENET

29 ×1.6

IMMUN

13 ×0.8

CR

Citations per year, relative to Ayana Kon Ayana Kon (= 1×) peers Charles Dussiau

Countries citing papers authored by Ayana Kon

Since Specialization

Citations

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

Fields of papers citing papers by Ayana Kon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayana Kon

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

All Works

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12 of 12 papers shown

1.

Goyama, Susumu, Shuhei Asada, Takeshi Fujino, et al.. (2021). A histone modifier, ASXL1, interacts with NONO and is involved in paraspeckle formation in hematopoietic cells. Cell Reports. 36(8). 109576–109576. 17 indexed citations

2.

Kon, Ayana, Masahiro Nakagawa, Keisuke Kataoka, et al.. (2020). Functional Characterization of Compound DDX41 Germline and Somatic R525H Mutations in the Development of Myeloid Malignancies. Blood. 136(Supplement 1). 21–22.

3.

Nakagawa, Masahiro, Yutaka Kuroda, Yasuhito Nannya, et al.. (2020). Distinct Pathogenesis of Clonal Hematopoiesis Revealed By Single Cell RNA Sequencing Integrated with Highly Sensitive Genotyping Method. Blood. 136(Supplement 1). 34–34. 1 indexed citations

4.

Goyama, Susumu, Shuhei Asada, Takeshi Fujino, et al.. (2019). Mutant ASXL1 Disrupts Paraspeckle Formation through Aberrant Interaction with Nono in Hematopoietic Cells. Blood. 134(Supplement_1). 2514–2514.

5.

Masaki, So, Shun Ikeda, Yusuke Shiozawa, et al.. (2019). Myelodysplastic Syndrome-Associated SRSF2 Mutations Cause Splicing Changes by Altering Binding Motif Sequences. Frontiers in Genetics. 10. 338–338. 17 indexed citations

6.

Kon, Ayana, Yasuhito Nannya, Masahiro Nakagawa, et al.. (2018). Biological Characterization of the U2af1 S34F Mutation in the Pathogenesis of Myelodysplasia. Blood. 132(Supplement 1). 3080–3080. 1 indexed citations

7.

Kon, Ayana, Satoshi Yamazaki, Yasuhito Nannya, et al.. (2017). Physiological Srsf2 P95H expression causes impaired hematopoietic stem cell functions and aberrant RNA splicing in mice. Blood. 131(6). 621–635. 60 indexed citations

8.

Kogure, Yasunori, Keisuke Kataoka, Shungo Adachi, et al.. (2017). Novel Mechanism of Post-Transcriptional Regulation of PD-L1 Expression By 3'-UTR Binding Proteins. Blood. 130(Suppl_1). 730–730. 1 indexed citations

9.

Kon, Ayana, Satoshi Yamazaki, Yasunori Ota, et al.. (2015). Srsf2 P95H Mutation Causes Impaired Stem Cell Repopulation and Hematopoietic Differentiation in Mice. Blood. 126(23). 1649–1649. 2 indexed citations

10.

Matsunawa, Manabu, Ryō Yamamoto, Masashi Sanada, et al.. (2013). Role Of Sf3b1 On Hematopoiesis. Blood. 122(21). 600–600. 1 indexed citations

11.

Yoshida, Kenichi, Norio Shiba, Yuichi Shiraishi, et al.. (2013). Whole Exome Sequencing Reveals Clonal Evolution Pattern and Driver Mutations Of Relapsed Pediatric AML. Blood. 122(21). 1410–1410. 1 indexed citations

12.

Nagata, Yasunobu, Masashi Sanada, Ayana Kon, et al.. (2011). Mutational Spectrum Analysis of Interesting Correlation and Interrelationship Between RNA Splicing Pathway and Commonly Targeted Genes in Myelodysplastic Syndrome. Blood. 118(21). 273–273. 3 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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