Naoko Honma

121 total papers · 2.6k total citations
88 papers, 2.0k citations indexed

About

Naoko Honma is a scholar working on Oncology, Cancer Research and Pathology and Forensic Medicine. According to data from OpenAlex, Naoko Honma has authored 88 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Oncology, 35 papers in Cancer Research and 32 papers in Pathology and Forensic Medicine. Recurrent topics in Naoko Honma's work include Breast Cancer Treatment Studies (31 papers), Estrogen and related hormone effects (23 papers) and Breast Lesions and Carcinomas (20 papers). Naoko Honma is often cited by papers focused on Breast Cancer Treatment Studies (31 papers), Estrogen and related hormone effects (23 papers) and Breast Lesions and Carcinomas (20 papers). Naoko Honma collaborates with scholars based in Japan, United States and India. Naoko Honma's co-authors include Kaiyo Takubo, Tomio Arai, Mamoun Younes, Motoji Sawabe, Futoshi Akiyama, Shigehira Saji, Goi Sakamoto, Takuji Iwase, Rie Horii and Kenichi Nakamura and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Naoko Honma

86 papers receiving 1.9k citations

Author Peers

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

Author Last Decade Papers Cites
Naoko Honma 596 516 489 457 426 88 2.0k
Ryuichi Mibu 588 1.0× 436 0.8× 263 0.5× 277 0.6× 207 0.5× 86 1.9k
Yoshihisa Umekita 1.0k 1.7× 795 1.5× 284 0.6× 777 1.7× 138 0.3× 132 2.7k
Giusy Elia 501 0.8× 519 1.0× 368 0.8× 184 0.4× 135 0.3× 77 2.4k
Eun‐Soon Shin 698 1.2× 807 1.6× 268 0.5× 181 0.4× 503 1.2× 100 2.7k
E Tahara 935 1.6× 1.2k 2.3× 252 0.5× 406 0.9× 232 0.5× 106 2.6k
Ilaria Ruffilli 525 0.9× 463 0.9× 333 0.7× 149 0.3× 118 0.3× 54 2.2k
R Carpenter 708 1.2× 361 0.7× 247 0.5× 754 1.6× 659 1.5× 91 3.1k
Daniel A. Nikcevich 1.3k 2.2× 436 0.8× 181 0.4× 177 0.4× 293 0.7× 72 2.3k
Francesca Ragusa 484 0.8× 512 1.0× 330 0.7× 173 0.4× 123 0.3× 71 2.3k
Hideki Asakawa 294 0.5× 238 0.5× 269 0.6× 289 0.6× 123 0.3× 74 1.6k

Countries citing papers authored by Naoko Honma

Since Specialization
Citations

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

Fields of papers citing papers by Naoko Honma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naoko Honma

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