Akira Kubota

1.9k citations
68 papers · 1.6k · h-index 20

Impact in

Papers in

    • Pancreatic function and diabetes 9
    • Salivary Gland Tumors Diagnosis and Treatment 5
    • Ear and Head Tumors 3

Akira Kubota

66 papers receiving 1.5k citations

Peers

Akira Kubota
Comparison fields: 5 of 83
  • Endocrinology, Diabetes and Metabolism 528
  • Surgery 612
  • Oncology 312
  • Cellular and Molecular Neuroscience 164
  • Endocrine and Autonomic Systems 57
Replace Atsumi Mori with:
Atsumi Mori Japan
Eric Jullian France
N. Neuhold Austria
Nancy B. McWilliams United States
J. A. H. Wass United Kingdom
Megumu Hino Japan
Gunnar Qvigstad Norway
Büğe Öz Türkiye
Shunichi Matsumoto Japan
Giovanni Lupoli Italy
Akira Kubota relative to Atsumi Mori Japan Atsumi Mori's profile →
Citations per field
00.5×4.6×
Atsumi Mori · 1×
Citations per year

Countries citing papers authored by Akira Kubota

Since Specialization
Citations

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

Fields of papers citing papers by Akira Kubota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999395
2 1994248
3 200062
4 199455
5 199653
6 200052
7 199643
8 199942
9 199740
10 199538
11 199337
12 199635
13 199835
14 200535
15 199932
16 200132
17 200731
18 199230
19 200028
20 200023

About Akira Kubota

Akira Kubota is a scholar working on Surgery, Oncology, Molecular Biology, Pulmonary and Respiratory Medicine and Endocrinology, Diabetes and Metabolism, having authored 68 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (9 papers), Diabetes Treatment and Management (5 papers), Salivary Gland Tumors Diagnosis and Treatment (5 papers), Hematopoietic Stem Cell Transplantation (4 papers), Gastric Cancer Management and Outcomes (4 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Neuroendocrine Tumor Research Advances (4 papers) and Ear and Head Tumors (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (528 citations), Surgery (612 citations), Oncology (312 citations), Cellular and Molecular Neuroscience (164 citations) and Endocrine and Autonomic Systems (57 citations). Akira Kubota has collaborated with scholars based in Japan, United States and Egypt. Frequent co-authors include Yutaka Seino, Yuichiro Yamada, Yu Ihara, Shinji Kagimoto, Akira Kuroe, Kinsuke Tsuda, Nobuhiro Ban, Yoshimichi Someya, K. Tsuda and Susumu Seino. Their work appears in journals such as Biochemical and Biophysical Research Communications, Surgical Endoscopy, Diabetes, Pathology International and British Journal of Haematology.

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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