Nobuto Okamoto

443 citations
23 papers · 342 indexed · h-index 12

Nobuto Okamoto

21 papers receiving 334 citations

Peers

Nobuto Okamoto
Comparison fields: 5 of 56
  • Endocrinology, Diabetes and Metabolism 79
  • Hepatology 37
  • Epidemiology 155
  • Oncology 71
  • Surgery 97
Replace Stéphanie Moulin with:
Stéphanie Moulin France
Yusaku Shirai Japan
Takamasa Nishiuchi Japan
Samantha Cordone Italy
Norihiro Chatani Japan
Madeleine Themanns Austria
Sharon Pok Australia
Emily Sullivan United States
Sawkat M. Anwer United States
Noelia Agrá Spain
Nobuto Okamoto relative to Stéphanie Moulin France Stéphanie Moulin's profile →
Citations per field
00.5×2.9×
Stéphanie Moulin · 1×
Citations per year

Countries citing papers authored by Nobuto Okamoto

Since Specialization
Citations

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

Fields of papers citing papers by Nobuto Okamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20221
2 20187
3
Elevated Expression of SCGB1D2 Predicts Unfavorable Prognosis in Patients with Pancreatic Ductal Adenocarcinoma
20171
4 201711
5 201350
6 201314
7 201212
8 201114
9 201119
10 201019
11 200647
12 200519
13 200515
14
Diminished cellular immune response to carbonic anhydrase II in patients with Sjögren's syndrome and idiopathic chronic pancreatitis.
20048
15
Expression of carbonic anhydrase-related protein VIII, X and XI in the enteric autonomic nervous system
20035
16 20037
17 200324
18 200139
19 20008
20 19731

About Nobuto Okamoto

Nobuto Okamoto is a scholar working on Hepatology, Epidemiology and Oncology, having authored 23 papers that have together received 342 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (11 papers), Pancreatitis Pathology and Treatment (9 papers), Pancreatic and Hepatic Oncology Research (6 papers), Enzyme function and inhibition (4 papers), Neuroendocrine Tumor Research Advances (3 papers), Diet, Metabolism, and Disease (3 papers), Lipid metabolism and disorders (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (79 citations), Hepatology (37 citations) and Epidemiology (155 citations). Nobuto Okamoto has collaborated with scholars based in Japan and United Kingdom. Frequent co-authors include Saburo Onishi, Isao Nishimori, Toshiji Saibara, Masafumi Ono, Keisuke Taniuchi, Akira Hirose, Kensuke Munekage, Kiyomi Fujikawa‐Adachi, Keijiro Araki and Yuji Ohtsuki. Their work appears in journals such as Hepatology Research, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Liver International, Scientific Reports and Clinical Nephrology.

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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