Daisuke Chujo

1.7k citations
89 papers · 1.2k · h-index 20

Impact in

Papers in

Daisuke Chujo

83 papers receiving 1.1k citations

Peers

Daisuke Chujo
Comparison fields: 5 of 72
  • Endocrinology, Diabetes and Metabolism 548
  • Surgery 916
  • Genetics 503
  • Pharmacology 243
  • Transplantation 33
Replace Lamont G. Weide with:
Lamont G. Weide United States
Zoltán Máthé Hungary
E. F. Lampeter Germany
Jayne Houghton United Kingdom
Pernille M. Hansen Denmark
Dalong Zhu China
Nóra Hosszúfalusi Hungary
Guerman Molostvov United Kingdom
Gary E. Striker United States
Helga Bach Germany
Daisuke Chujo relative to Lamont G. Weide United States Lamont G. Weide's profile →
Citations per field
00.5×4.5×
Lamont G. Weide · 1×
Citations per year

Countries citing papers authored by Daisuke Chujo

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Chujo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201199
2 200955
3 201048
4 200744
5 201339
6 201237
7 200936
8 200936
9 201235
10 201030
11 201529
12 201229
13 201325
14 201523
15 201023
16 201222
17 201120
18 201220
19 201019
20 200719

About Daisuke Chujo

Daisuke Chujo is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Genetics, Molecular Biology and Pharmacology, having authored 89 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (65 papers), Diabetes Management and Research (53 papers), Diabetes and associated disorders (42 papers), Diabetes Treatment and Management (13 papers), Cannabis and Cannabinoid Research (12 papers), Metabolism, Diabetes, and Cancer (10 papers), Pancreatitis Pathology and Treatment (4 papers) and Pancreatic and Hepatic Oncology Research (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (548 citations), Surgery (916 citations), Genetics (503 citations), Pharmacology (243 citations) and Transplantation (33 citations). Daisuke Chujo has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Masayuki Shimoda, Marlon F. Levy, Bashoo Naziruddin, Morihito Takita, Shinichi Matsumoto, Nicholas Onaca, Takeshi Itoh, Hirofumi Noguchi, Koji Sugimoto and Yasutaka Fujita. Their work appears in journals such as Cell Transplantation, Journal of Diabetes Investigation, Diabetes, Medicine and Diabetes Therapy.

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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