Kazuma Maeno

601 total citations
32 papers, 444 citations indexed

About

Kazuma Maeno is a scholar working on Oncology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Kazuma Maeno has authored 32 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Oncology, 11 papers in Surgery and 9 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Kazuma Maeno's work include Thyroid Cancer Diagnosis and Treatment (8 papers), Cancer Treatment and Pharmacology (5 papers) and Thyroid and Parathyroid Surgery (5 papers). Kazuma Maeno is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (8 papers), Cancer Treatment and Pharmacology (5 papers) and Thyroid and Parathyroid Surgery (5 papers). Kazuma Maeno collaborates with scholars based in Japan, United Kingdom and Canada. Kazuma Maeno's co-authors include Ken‐ichi Ito, Tokiko Ito, Toshiharu Kanai, Toru Hanamura, Shin‐ichi Tsuchiya, Maiko Fujimori, Yoshihisa Hama, Morihiko Kimura, Kiyoshi Shingū and Muneaki Sano and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Clinical Cancer Research.

In The Last Decade

Kazuma Maeno

28 papers receiving 440 citations

Peers

Kazuma Maeno
Comparison fields: 5 of 63
  • Oncology 214
  • Molecular Biology 144
  • Endocrinology, Diabetes and Metabolism 108
  • Surgery 82
  • Genetics 59
Replace Risu Na with:
Risu Na China
Christopher J. Darus United States
Patel Dd India
Fernando Cordera Mexico
Ayako Mitsuma Japan
Nathan D. Seligson United States
Rolf Kaaresen Norway
Yasuji Komorizono Japan
Anna Carbone Italy
Arthur M. Magun United States
Risu Na China View profile →
Citations per field, relative to Kazuma Maeno
Kazuma Maeno · 1×
Citations per year, relative to Kazuma Maeno
Kazuma Maeno · 1×

Countries citing papers authored by Kazuma Maeno

Since Specialization
Citations

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

Fields of papers citing papers by Kazuma Maeno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kazuma Maeno

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 0
4 1
5 4
6 2
7 21
8 16
9 9
10 3
11 31
12 8
13 6
14
[A retrospective study of high-dose toremifene treatment for patients with aromatase inhibitor refractory advanced or metastatic hormone receptor-positive breast cancer].
2
15 87
16 5
17 38
18 0
19 34
20 6

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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