Johbu Itoh

92 papers receiving 1.6k citations

Peers

Johbu Itoh
Comparison fields: 5 of 111
  • Hepatology 143
  • Genetics 139
  • Cell Biology 192
  • Endocrinology, Diabetes and Metabolism 180
  • Molecular Biology 674
Replace Jacqueline A. Proper with:
Jacqueline A. Proper United States
Karl X. Chai United States
K Yamamura Japan
Claude Besmond France
Bruce M. Pratt United States
Reiko Sasada Japan
Min-Jung Lee South Korea
Kovalev Gi United States
Maria Paola Serra Italy
D. S. Grant United States
Johbu Itoh relative to Jacqueline A. Proper United States Jacqueline A. Proper's profile →
Citations per field
00.5×10×15.5×
Jacqueline A. Proper · 1×
Citations per year

Countries citing papers authored by Johbu Itoh

Since Specialization
Citations

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

Fields of papers citing papers by Johbu Itoh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Johbu Itoh, 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 Johbu Itoh Line = papers co-authored together Johbu Itoh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011117
2 200383
3 200578
4 200877
5
Enhanced expression of transforming growth factor-beta s and transforming growth factor-beta type II receptor in the synovial tissues of patients with rheumatoid arthritis.
199472
6 201155
7 199643
8 200742
9 200639
10 200438
11 201938
12 200835
13 200734
14 200433
15
Clinical and immunohistochemical studies on TSH-secreting pituitary adenoma: its multihormonality and expression of Pit-1.
199433
16 202131
17 201031
18 200529
19 200027
20 199226

About Johbu Itoh

Johbu Itoh is a scholar working on Molecular Biology, Surgery, Cell Biology, Oncology and Endocrinology, Diabetes and Metabolism, having authored 92 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (11 papers), Glycosylation and Glycoproteins Research (7 papers), Cellular transport and secretion (7 papers), Adrenal and Paraganglionic Tumors (6 papers), Ovarian cancer diagnosis and treatment (5 papers), Autophagy in Disease and Therapy (5 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Microtubule and mitosis dynamics (5 papers). The work is most often cited by research in Hepatology (143 citations), Genetics (139 citations), Cell Biology (192 citations), Endocrinology, Diabetes and Metabolism (180 citations) and Molecular Biology (674 citations). Johbu Itoh has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include R. Yoshiyuki Osamura, Susumu Takekoshi, Akira Matsuno, Yoshiko Itoh, Isao Okazaki, R. Yoshiyuki Osamura, Tadashi Nagashima, Shunichi Kato, Kenji Kawai and Masanori Yasuda. Their work appears in journals such as Journal of Histochemistry & Cytochemistry, Endocrine Pathology, Applied immunohistochemistry & molecular morphology, International Journal of Molecular Sciences and Pathology International.

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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