Chie Inomoto

50 papers receiving 361 citations

Peers

Chie Inomoto
Comparison fields: 5 of 63
  • Structural Biology 7
  • Endocrinology, Diabetes and Metabolism 65
  • Rheumatology 55
  • Cancer Research 39
  • Otorhinolaryngology 9
Replace Hirokazu Takami with:
Hirokazu Takami Japan
Elvira La Mantia Italy
Satoshi Suehiro Japan
Janice Brewer Australia
Domenico Catapano Italy
Jiwei Bai China
Akira Tamase Japan
Winny Varikatt Australia
Ryszard Czepko Poland
Seung-Ho Yang South Korea
Chie Inomoto relative to Hirokazu Takami Japan Hirokazu Takami's profile →
Citations per field
00.5×4.5×
Hirokazu Takami · 1×
Citations per year

Countries citing papers authored by Chie Inomoto

Since Specialization
Citations

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

Fields of papers citing papers by Chie Inomoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201349
2 201827
3 201626
4 201922
5 201416
6 202115
7 200915
8 201414
9 201513
10 200711
11 202110
12
Black adrenal adenoma causing preclinical Cushing's syndrome.
201010
13 20179
14 20118
15 20197
16 20217
17
A case of superficial angiomyxoma.
20067
18 20076
19 20196
20 20196

About Chie Inomoto

Chie Inomoto is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Epidemiology, Molecular Biology and Oncology, having authored 56 papers that have together received 363 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (13 papers), Neuroendocrine Tumor Research Advances (9 papers), Adrenal and Paraganglionic Tumors (6 papers), Neuroblastoma Research and Treatments (5 papers), Advanced X-ray Imaging Techniques (5 papers), Renal cell carcinoma treatment (4 papers), Advanced Electron Microscopy Techniques and Applications (4 papers) and Glioma Diagnosis and Treatment (4 papers). The work is most often cited by research in Structural Biology (7 citations), Endocrinology, Diabetes and Metabolism (65 citations), Rheumatology (55 citations), Cancer Research (39 citations) and Otorhinolaryngology (9 citations). Chie Inomoto has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Naoya Nakamura, R. Yoshiyuki Osamura, Hiroshi Kajiwara, Akira Teramoto, Hiroyuki Kobayashi, Shigeyuki Tahara, Tomoyoshi Komiyama, Hakushi Kim, Susumu Takekoshi and Yujiro Hattori. Their work appears in journals such as Pathology International, Microscopy and Microanalysis, Translational Psychiatry, Acta Cytologica and Clinical Neurology and Neurosurgery.

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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