Naoki Kitabayashi

56 total papers · 6.6k total citations
19 papers, 1.5k citations indexed

About

Naoki Kitabayashi is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Naoki Kitabayashi has authored 19 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Pulmonary and Respiratory Medicine and 8 papers in Cancer Research. Recurrent topics in Naoki Kitabayashi's work include Prostate Cancer Treatment and Research (6 papers), Prostate Cancer Diagnosis and Treatment (3 papers) and Cancer Genomics and Diagnostics (3 papers). Naoki Kitabayashi is often cited by papers focused on Prostate Cancer Treatment and Research (6 papers), Prostate Cancer Diagnosis and Treatment (3 papers) and Cancer Genomics and Diagnostics (3 papers). Naoki Kitabayashi collaborates with scholars based in United States, France and United Kingdom. Naoki Kitabayashi's co-authors include Yao‐Tseng Chen, Mark A. Rubin, Mark Gerstein, Andrea Sboner, Thomas J. Fahey, Theresa Scognamiglio, Ashutosh Tewari, Francesca Demichelis, Dorothee Pflueger and Mark S. Chee and has published in prestigious journals such as Genome Research, Genome biology and European Journal of Cancer.

In The Last Decade

Naoki Kitabayashi

19 papers receiving 1.4k citations

Author Peers

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

Author Last Decade Papers Cites
Naoki Kitabayashi 843 524 471 208 207 19 1.5k
Peter J. Sciavolino 981 1.2× 531 1.0× 240 0.5× 280 1.3× 199 1.0× 11 1.5k
Truong D. Dang 886 1.1× 713 1.4× 381 0.8× 174 0.8× 512 2.5× 19 1.8k
Manuela Sarti 889 1.1× 430 0.8× 286 0.6× 151 0.7× 532 2.6× 28 1.7k
J Clark 749 0.9× 1.1k 2.0× 297 0.6× 137 0.7× 358 1.7× 18 1.6k
David Golovsky 472 0.6× 659 1.3× 201 0.4× 258 1.2× 257 1.2× 27 1.4k
Yajun Yi 982 1.2× 327 0.6× 492 1.0× 207 1.0× 389 1.9× 31 1.7k
Mara Rosenberg 522 0.6× 508 1.0× 192 0.4× 90 0.4× 248 1.2× 22 1.4k
Anjana Menon 798 0.9× 989 1.9× 495 1.1× 160 0.8× 191 0.9× 13 1.4k
Yasmin Akbarali 1.1k 1.3× 200 0.4× 264 0.6× 169 0.8× 420 2.0× 17 1.8k
Roxanne Toivanen 593 0.7× 933 1.8× 371 0.8× 175 0.8× 556 2.7× 21 1.5k

Countries citing papers authored by Naoki Kitabayashi

Since Specialization
Citations

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

Fields of papers citing papers by Naoki Kitabayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoki Kitabayashi

This figure shows the co-authorship network connecting the top 25 collaborators of Naoki Kitabayashi. A scholar is included among the top collaborators of Naoki Kitabayashi 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 Kitabayashi. Naoki Kitabayashi 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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