Naoki Kakazu

60 total papers · 1.9k total citations
40 papers, 1.5k citations indexed

About

Naoki Kakazu is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Naoki Kakazu has authored 40 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 11 papers in Hematology and 9 papers in Oncology. Recurrent topics in Naoki Kakazu's work include Acute Myeloid Leukemia Research (10 papers), Genomic variations and chromosomal abnormalities (8 papers) and Genomics and Chromatin Dynamics (7 papers). Naoki Kakazu is often cited by papers focused on Acute Myeloid Leukemia Research (10 papers), Genomic variations and chromosomal abnormalities (8 papers) and Genomics and Chromatin Dynamics (7 papers). Naoki Kakazu collaborates with scholars based in Japan, United States and India. Naoki Kakazu's co-authors include Kazuo Kinoshita, Masamichi Muramatsu, Tasuku Honjo, Il‐mi Okazaki, Shuichi Yamada, Hiroshi Hiai, Tatsuo Abe, Tatsuo Abe, Ayako Sasaki and Shun Hamada and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Naoki Kakazu

40 papers receiving 1.5k citations

Hit Papers

Constitutive Expression o... 2003 2026 2010 2018 2003 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Naoki Kakazu 850 334 265 243 212 40 1.5k
Pierre Vaigot 841 1.0× 360 1.1× 301 1.1× 200 0.8× 99 0.5× 51 1.7k
Alan G. Rosmarin 987 1.2× 414 1.2× 330 1.2× 262 1.1× 172 0.8× 47 1.7k
A.H.M. Geurts van Kessel 709 0.8× 160 0.5× 200 0.8× 237 1.0× 250 1.2× 51 1.4k
Jacqueline E. Payton 965 1.1× 402 1.2× 243 0.9× 402 1.7× 104 0.5× 64 1.8k
P C Nowell 660 0.8× 373 1.1× 241 0.9× 298 1.2× 163 0.8× 27 1.3k
P E Barker 1.0k 1.2× 448 1.3× 301 1.1× 206 0.8× 399 1.9× 32 1.8k
Daniel Isnardon 785 0.9× 580 1.7× 362 1.4× 184 0.8× 128 0.6× 30 1.6k
Wendy Dubois 1.1k 1.3× 371 1.1× 326 1.2× 120 0.5× 99 0.5× 35 1.6k
Christian Kosan 616 0.7× 438 1.3× 260 1.0× 257 1.1× 296 1.4× 46 1.3k
Christophe Quéva 1.2k 1.4× 216 0.6× 569 2.1× 102 0.4× 196 0.9× 43 1.7k

Countries citing papers authored by Naoki Kakazu

Since Specialization
Citations

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

Fields of papers citing papers by Naoki Kakazu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoki Kakazu

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026