Ayumi Kitano

42 total papers · 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 Epigenetics and DNA Methylation (5 papers), Acute Myeloid Leukemia Research (5 papers) and Histone Deacetylase Inhibitors Research (4 papers). Ayumi Kitano is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), Acute Myeloid Leukemia Research (5 papers) and Histone Deacetylase Inhibitors Research (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, Yusuke Saitoh, Sean J. Morrison and Boaz P. Levi and has published in prestigious journals such as Nature, Nature Communications and Neuron.

In The Last Decade

Ayumi Kitano

29 papers receiving 1.5k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ayumi Kitano 839 350 230 192 172 30 1.6k
Beat Bornhäuser 1.2k 1.4× 288 0.8× 249 1.1× 116 0.6× 140 0.8× 62 1.9k
Robert Signer 1.2k 1.5× 471 1.3× 501 2.2× 122 0.6× 164 1.0× 29 2.1k
Atsunori Saraya 1.5k 1.8× 473 1.4× 157 0.7× 178 0.9× 127 0.7× 47 2.3k
Hyun‐Woo Jeong 893 1.1× 226 0.6× 304 1.3× 108 0.6× 251 1.5× 53 1.7k
Irene E. Zohn 1.3k 1.6× 265 0.8× 124 0.5× 171 0.9× 256 1.5× 42 2.0k
Oxana Bereshchenko 1.0k 1.2× 306 0.9× 463 2.0× 227 1.2× 73 0.4× 43 2.0k
Gregory L. Bennett 944 1.1× 153 0.4× 271 1.2× 149 0.8× 242 1.4× 21 2.3k
Claire M. Schreiner 1.7k 2.0× 229 0.7× 309 1.3× 404 2.1× 333 1.9× 30 2.4k
Daniel T. Meehan 605 0.7× 274 0.8× 103 0.4× 181 0.9× 104 0.6× 34 1.5k
Maki Ishii 739 0.9× 517 1.5× 164 0.7× 160 0.8× 216 1.3× 45 1.5k

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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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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