Makoto Iitaka

1.4k citations
54 papers · 1.1k indexed · h-index 19
Topics
Thyroid Disorders and Treatments (28 papers)Diabetes and associated disorders (12 papers)Growth Hormone and Insulin-like Growth Factors (9 papers)
Partner nations
JapanCanadaUnited States

In The Last Decade

Makoto Iitaka

53 papers receiving 1.1k citations

Peers

Makoto Iitaka
Comparison fields: 5 of 84
  • Endocrinology, Diabetes and Metabolism 670
  • Genetics 364
  • Immunology 247
  • Molecular Biology 217
  • Surgery 177
Replace Andrea Di Domenicantonio with:
Andrea Di Domenicantonio Italy
Hironori Nakajima Japan
Michel Neufeld United States
Jennie H. M. Yang United Kingdom
Arturo P. Saavedra United States
Héctor Jasper Argentina
D. R. Cullen United Kingdom
Stacy L. Musone United States
V. J. McCann Australia
Jaap van Doorn Netherlands
Makoto Iitaka relative to Andrea Di Domenicantonio Italy Andrea Di Domenicantonio's profile →
Citations per field
00.5×2.6×
Andrea Di Domenicantonio · 1×
Citations per year

Countries citing papers authored by Makoto Iitaka

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Iitaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Makoto Iitaka

This figure shows the co-authorship network connecting the top 25 collaborators of Makoto Iitaka. A scholar is included among the top collaborators of Makoto Iitaka 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 Iitaka. Makoto Iitaka 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
#WorkIndexed citations
1 2
2 22
3 38
4 15
5 36
6 38
7 40
8 9
9 40
10 20
11 98
12 50
13 7
14 5
15 7
16 9
17 24
18 13
19 1
20 13

About Makoto Iitaka

Makoto Iitaka is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Immunology, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (28 papers), Diabetes and associated disorders (12 papers) and Growth Hormone and Insulin-like Growth Factors (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (670 citations), Genetics (364 citations) and Immunology (247 citations). Makoto Iitaka has collaborated with scholars based in Japan, Canada and United States. Frequent co-authors include VAS V. ROW, Robert J. Volpe, Shigehiro Katayama, Jun Ishii, Shinji Kitahama, Shiro Miura, Seiki Wada, Kunihiko Ito, Hertzel C. Gerstein and Naoko Momotani. Their work appears in journals such as The Journal of Immunology, The Journal of Clinical Endocrinology & Metabolism and Diabetes.

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