Hidefumi Inaba

1.2k citations
66 papers · 905 · h-index 18

Impact in

Papers in

Hidefumi Inaba

59 papers receiving 883 citations

Peers

Hidefumi Inaba
Comparison fields: 5 of 64
  • Endocrinology, Diabetes and Metabolism 277
  • Oncology 265
  • Rheumatology 104
  • Epidemiology 203
  • Neurology 90
Replace Claudia Parisi with:
Claudia Parisi Italy
K. W. Schmid Germany
Yalan Bi China
Louise Rochon Canada
Mehmet Kefeli Türkiye
Francesco Paolo Pilato Italy
Jill Novitzke United States
Mohammad Alimohammadi Sweden
H. Zirkin Israel
J C Reynolds United States
Hidefumi Inaba relative to Claudia Parisi Italy Claudia Parisi's profile →
Citations per field
00.5×3.7×
Claudia Parisi · 1×
Citations per year

Countries citing papers authored by Hidefumi Inaba

Since Specialization
Citations

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

Fields of papers citing papers by Hidefumi Inaba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020114
2 201974
3 201345
4 200638
5 202137
6 201837
7 202032
8 202029
9 202227
10 201627
11 201825
12 201924
13 202223
14 201523
15 202018
16 200317
17 201017
18 201817
19 201916
20 201516

About Hidefumi Inaba

Hidefumi Inaba is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Oncology, Surgery and Pulmonary and Respiratory Medicine, having authored 66 papers that have together received 905 indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (12 papers), Cancer Immunotherapy and Biomarkers (9 papers), Thyroid Disorders and Treatments (9 papers), IgG4-Related and Inflammatory Diseases (7 papers), Pituitary Gland Disorders and Treatments (6 papers), Diabetes and associated disorders (5 papers), Neuroblastoma Research and Treatments (5 papers) and Soft tissue tumor case studies (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (277 citations), Oncology (265 citations), Rheumatology (104 citations), Epidemiology (203 citations) and Neurology (90 citations). Hidefumi Inaba has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Takashi Akamizu, Hiroyuki Ariyasu, Hiroshi Iwakura, Ken Takeshima, Shuhei Morita, Yasushi Furukawa, Leslie J. De Groot, Masahiro Nishi, Shinsuke Uraki and Hiroto Furuta. Their work appears in journals such as BMC Endocrine Disorders, The Journal of Clinical Endocrinology & Metabolism, Thyroid, Frontiers in Endocrinology and Journal of Diabetes Investigation.

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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