Mitsuru Ito

158 papers receiving 2.2k citations

Peers

Mitsuru Ito
Comparison fields: 5 of 93
  • Endocrinology, Diabetes and Metabolism 1.5k
  • Clinical Biochemistry 35
  • Nephrology 62
  • Rheumatology 82
  • Pathology and Forensic Medicine 89
Replace Aldo Galluzzo with:
Aldo Galluzzo Italy
Pasi I. Salmela Finland
Jean-Louis Wémeau France
Donald Zimmerman United States
Nalini Samir Shah India
Ming‐Sheng Teng Taiwan
Marc Klein France
Semon Wu Taiwan
Hironori Yamasaki Japan
Alois Gessl Austria
Mitsuru Ito relative to Aldo Galluzzo Italy Aldo Galluzzo's profile →
Citations per field
00.5×1.5×2.0×
Aldo Galluzzo · 1×
Citations per year

Countries citing papers authored by Mitsuru Ito

Since Specialization
Citations

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

Fields of papers citing papers by Mitsuru Ito

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mitsuru Ito, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mitsuru Ito Line = papers co-authored together Mitsuru Ito links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 178 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008161
2 2012106
3 2009100
4 202388
5
Impaired production of Th1 cytokines and increased frequency of Th2 subsets in PBMC from advanced cancer patients.
199971
6 201767
7 202366
8 200760
9 200658
10 201251
11 202051
12
Detailed colonoscopy for detecting early superficial carcinoma: recent developments.
200048
13 200843
14 201442
15 201541
16 200640
17 201440
18 200339
19 199837
20 201037

About Mitsuru Ito

Mitsuru Ito is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Pathology and Forensic Medicine, Obstetrics and Gynecology and Rheumatology, having authored 178 papers that have together received 2.4k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (67 papers), Thyroid Cancer Diagnosis and Treatment (23 papers), Thyroid and Parathyroid Surgery (8 papers), Pregnancy and preeclampsia studies (6 papers), Ophthalmology and Eye Disorders (6 papers), Metabolism and Genetic Disorders (4 papers), Clinical Laboratory Practices and Quality Control (3 papers) and Adrenal Hormones and Disorders (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.5k citations), Clinical Biochemistry (35 citations), Nephrology (62 citations), Rheumatology (82 citations) and Pathology and Forensic Medicine (89 citations). Mitsuru Ito has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Akira Miyauchi, Eijun Nishihara, Nobuyuki Amino, Takumi Kudo, Shuji Fukata, Sumihisa Kubota, Hidemi Ohye, Hirotoshi Nakamura, Mitsushige Nishikawa and Yasuhiro Ito. Their work appears in journals such as Thyroid, European Journal of Endocrinology, European Thyroid Journal, The Journal of Clinical Endocrinology & Metabolism and International Journal of Gynecology & Obstetrics.

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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