Makoto Ishitobi

3.7k total citations
101 papers, 1.9k citations indexed

About

Makoto Ishitobi is a scholar working on Cancer Research, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Makoto Ishitobi has authored 101 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Cancer Research, 37 papers in Oncology and 23 papers in Pathology and Forensic Medicine. Recurrent topics in Makoto Ishitobi's work include Breast Cancer Treatment Studies (42 papers), Breast Lesions and Carcinomas (23 papers) and Autism Spectrum Disorder Research (20 papers). Makoto Ishitobi is often cited by papers focused on Breast Cancer Treatment Studies (42 papers), Breast Lesions and Carcinomas (23 papers) and Autism Spectrum Disorder Research (20 papers). Makoto Ishitobi collaborates with scholars based in Japan, Sweden and United States. Makoto Ishitobi's co-authors include Yasuhiro Tamaki, Hirotaka Kosaka, Shinzaburo Noguchi, Yasuo Miyoshi, Hideo Inaji, Seiichi Hasegawa, Toshio Munesue, Yuji Wada, Tetsuya Taguchi and Chiyomi Egawa and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and NeuroImage.

In The Last Decade

Makoto Ishitobi

95 papers receiving 1.9k citations

Peers

Makoto Ishitobi
Comparison fields: 5 of 117
  • Cognitive Neuroscience 620
  • Molecular Biology 474
  • Cancer Research 435
  • Oncology 386
  • Genetics 380
Replace Guanshan Zhu with:
Guanshan Zhu China
Matthew L. Baum United States
Christopher D. Lascola United States
Tiina Salminen Finland
Jun Shinoda Japan
Yun‐Ju Chen Taiwan
Dawei Li China
Sonja Horstmann Germany
John A. Jesberger United States
Hsing-Chen Tsai Taiwan
Guanshan Zhu China View profile →
Citations per field, relative to Makoto Ishitobi
Makoto Ishitobi · 1×
Citations per year, relative to Makoto Ishitobi
Makoto Ishitobi · 1×

Countries citing papers authored by Makoto Ishitobi

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Ishitobi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Ishitobi

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Ishitobi. A scholar is included among the top collaborators of Makoto Ishitobi 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 Makoto Ishitobi. Makoto Ishitobi 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 4
2 0
3 1
4 3
5 11
6 7
7 7
8 10
9 10
10 12
11 9
12 11
13 14
14 23
15 15
16 14
17 8
18 59
19 19
20 7

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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