Ayumi Kitano

2.2k total citations
30 papers, 1.6k citations indexed

About

Ayumi Kitano is a scholar working on Molecular Biology, Hematology and Cell Biology. According to data from OpenAlex, Ayumi Kitano has authored 30 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Hematology and 5 papers in Cell Biology. Recurrent topics in Ayumi Kitano's work include Acute Myeloid Leukemia Research (5 papers), Epigenetics and DNA Methylation (5 papers) and CRISPR and Genetic Engineering (4 papers). Ayumi Kitano is often cited by papers focused on Acute Myeloid Leukemia Research (5 papers), Epigenetics and DNA Methylation (5 papers) and CRISPR and Genetic Engineering (4 papers). Ayumi Kitano collaborates with scholars based in United States, Japan and Italy. Ayumi Kitano's co-authors include Daisuke Nakada, Angelique Lin, Richard H. Chapple, Kevin A. Hoegenauer, Makiko Takeichi, Yusuke Saito, N. D. Ryan, Boaz P. Levi, Yusuke Saitoh and Hideyuki Oguro and has published in prestigious journals such as Nature, Nature Communications and Neuron.

In The Last Decade

Ayumi Kitano

30 papers receiving 1.6k citations

Peers

Ayumi Kitano

MB

HEMAT

IMMUN

GENET

CB

Atsunori Saraya Japan

Matilde Y. Follo Italy

Irene E. Zohn United States

Rosa Montes Spain

Yutaka Imamura Japan

I‐Shing Yu Taiwan

Sara Rollinson United Kingdom

John J. Sharp United States

Julio Amigo United States

Michelle J. Doyle United States

Atsunori Saraya Japan

Ayumi Kitano

1.6k ×1.8

MB

473 ×1.3

HEMAT

157 ×0.7

IMMUN

178 ×0.9

GENET

128 ×0.7

CB

Citations per year, relative to Ayumi Kitano Ayumi Kitano (= 1×) peers Atsunori Saraya

Countries citing papers authored by Ayumi Kitano

Since Specialization

Citations

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

Fields of papers citing papers by Ayumi Kitano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayumi Kitano

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

All Works

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20 of 20 papers shown

1.

Tseng, Yu-Jung, Ayumi Kitano, Jong Hwan Kim, et al.. (2024). Increased iron uptake by splenic hematopoietic stem cells promotes TET2-dependent erythroid regeneration. Nature Communications. 15(1). 538–538. 8 indexed citations

2.

Shi, Xiangguo, Nikolaus D. Obholzer, Tianyuan Hu, et al.. (2022). An oncogenic enhancer encodes selective selenium dependency in AML. Cell stem cell. 29(3). 386–399.e7. 20 indexed citations

3.

Hoegenauer, Kevin A., Ayumi Kitano, Matthew V. Holt, et al.. (2021). The histone H3.3 chaperone HIRA restrains erythroid-biased differentiation of adult hematopoietic stem cells. Stem Cell Reports. 16(8). 2014–2028. 8 indexed citations

4.

Shi, Xiangguo, Ayumi Kitano, Tianyuan Hu, et al.. (2021). Nuclear NAD ⁺ homeostasis governed by NMNAT1 prevents apoptosis of acute myeloid leukemia stem cells. Science Advances. 7(30). 30 indexed citations

5.

Hu, Tianyuan, Xiangguo Shi, Ayumi Kitano, et al.. (2019). AMP-activated protein kinase links acetyl-CoA homeostasis to BRD4 recruitment in acute myeloid leukemia. Blood. 134(24). 2183–2194. 34 indexed citations

6.

Hu, Tianyuan, Ayumi Kitano, Brian Dawson, et al.. (2019). Bmi1 Suppresses Adipogenesis in the Hematopoietic Stem Cell Niche. Stem Cell Reports. 13(3). 545–558. 35 indexed citations

7.

Hu, Tianyuan, Kiyomi Morita, Matthew C. Hill, et al.. (2019). PRDM16s transforms megakaryocyte-erythroid progenitors into myeloid leukemia–initiating cells. Blood. 134(7). 614–625. 23 indexed citations

8.

Brunetti, Lorenzo, Michael C. Gundry, Ayumi Kitano, Daisuke Nakada, & Margaret A. Goodell. (2018). Highly Efficient Gene Disruption of Murine and Human Hematopoietic Progenitor Cells by CRISPR/Cas9. Journal of Visualized Experiments. 10 indexed citations

9.

Brunetti, Lorenzo, Michael C. Gundry, Ayumi Kitano, Daisuke Nakada, & Margaret A. Goodell. (2018). Highly Efficient Gene Disruption of Murine and Human Hematopoietic Progenitor Cells by CRISPR/Cas9. Journal of Visualized Experiments. 21 indexed citations

10.

Nakada, Daisuke, et al.. (2017). AMPK Links Metabolic Regulation to Epigenome Modification in Leukemia-Initiating-Cell. Blood. 130. 2488–2488. 1 indexed citations

11.

Gundry, Michael C., Lorenzo Brunetti, Angelique Lin, et al.. (2016). Highly Efficient Genome Editing of Murine and Human Hematopoietic Progenitor Cells by CRISPR/Cas9. Cell Reports. 17(5). 1453–1461. 189 indexed citations

12.

Saito, Yusuke, Richard H. Chapple, Angelique Lin, Ayumi Kitano, & Daisuke Nakada. (2015). AMPK Protects Leukemia-Initiating Cells in Myeloid Leukemias from Metabolic Stress in the Bone Marrow. Cell stem cell. 17(5). 585–596. 189 indexed citations

13.

Nakada, Daisuke, Hideyuki Oguro, Boaz P. Levi, et al.. (2014). Oestrogen increases haematopoietic stem-cell self-renewal in females and during pregnancy. Nature. 505(7484). 555–558. 299 indexed citations

14.

Yamanaka, Yasunari, Ayumi Kitano, Keizo Takao, et al.. (2010). Inactivation of fibroblast growth factor binding protein 3 causes anxiety-related behaviors. Molecular and Cellular Neuroscience. 46(1). 200–212. 13 indexed citations

15.

Takahashi, Kazuaki, Ayumi Kitano, & Yukio Akiba. (2010). Effect of L‐carnitine on proliferative response and mRNA expression of some of its associated factors in splenic mononuclear cells of male broiler chicks. Animal Science Journal. 81(2). 215–222. 6 indexed citations

16.

Yamanaka, Yasunari, Toshio Heike, Tomohiro Kumada, et al.. (2008). Loss of Borealin/DasraB leads to defective cell proliferation, p53 accumulation and early embryonic lethality. Mechanisms of Development. 125(5-6). 441–450. 26 indexed citations

17.

Ihara, Masafumi, Nobuyuki Yamasaki, Akari Hagiwara, et al.. (2007). Sept4, a Component of Presynaptic Scaffold and Lewy Bodies, Is Required for the Suppression of α-Synuclein Neurotoxicity. Neuron. 53(4). 519–533. 134 indexed citations

18.

Ihara, Masafumi, Ayae Kinoshita, Shuichi Yamada, et al.. (2005). Cortical Organization by the Septin Cytoskeleton Is Essential for Structural and Mechanical Integrity of Mammalian Spermatozoa. Developmental Cell. 8(3). 343–352. 235 indexed citations

19.

Takeshima, Takao, Tokio Shimomura, Hiroko Okada, et al.. (1997). Platelet Ionized Magnesium, Cyclic AMP, and Cyclic GMP Levels in Migraine and Tension‐Type Headache. Headache The Journal of Head and Face Pain. 37(9). 561–564. 20 indexed citations

20.

Kitano, Ayumi, et al.. (1994). Increased 11‐dehydrothromboxane B 2 in Migraine: Platelet Hyperfunction in Patients with Migraine during Headache‐free Period. Headache The Journal of Head and Face Pain. 34(9). 515–518. 42 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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