Daisuke Yabe

11.0k citations
230 papers · 7.6k · 3 hit papers · h-index 38

Impact in

Papers in

Daisuke Yabe

218 papers receiving 7.5k citations

Daisuke Yabe's Hit Papers

Japanese Clinical Practice Guideline for Diabetes 2016 2018 · 269 citations
2690+8+16Years since publication250500750

Peers

Daisuke Yabe
Comparison fields: 5 of 127
  • Endocrinology, Diabetes and Metabolism 2.8k
  • Biochemistry 533
  • Surgery 2.2k
  • Sensory Systems 230
  • Molecular Biology 2.6k
Replace Karin Bornfeldt with:
Karin Bornfeldt United States
Anil K. Agarwal United States
Ángela M. Valverde Spain
Kenneth E. Bernstein United States
Boris Draznin United States
Saswata Talukdar United States
Robert J. Konrad United States
Alyssa H. Hasty United States
Noel G. Morgan United Kingdom
Minho Shong South Korea
Daisuke Yabe relative to Karin Bornfeldt United States Karin Bornfeldt's profile →
Citations per field
00.5×8.2×
Karin Bornfeldt · 1×
Citations per year

Countries citing papers authored by Daisuke Yabe

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Yabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 230 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Crucial Step in Cholesterol Homeostasis
Hit paper breakdown →
2002837
2
GIP and GLP‐1, the two incretin hormones: Similarities and differences
Hit paper breakdown →
2010556
3 2002439
4 2000285
5
Japanese Clinical Practice Guideline for Diabetes 2016
Hit paper breakdown →
2018269
6 2003249
7 2003247
8 2015246
9 2013212
10 1999160
11 2011160
12 2018153
13 2016152
14 2005131
15 2009130
16 2002125
17 2020103
18 2015101
19 202296
20 199796

About Daisuke Yabe

Daisuke Yabe is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Oncology and Physiology, having authored 230 papers that have together received 7.6k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (105 papers), Pancreatic function and diabetes (37 papers), Metabolism, Diabetes, and Cancer (30 papers), Diabetes Management and Research (24 papers), Diabetes and associated disorders (14 papers), Neuroendocrine Tumor Research Advances (14 papers), Diet and metabolism studies (12 papers) and Neuropeptides and Animal Physiology (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.8k citations), Biochemistry (533 citations), Surgery (2.2k citations), Sensory Systems (230 citations) and Molecular Biology (2.6k citations). Daisuke Yabe has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Yutaka Seino, Joseph L. Goldstein, Michael S. Brown, Mitsuo Fukushima, Peter J. Espenshade, Ruedi Aebersold, Tong Yang, Yi Gong, Michael E. Wright and Hitoshi Kuwata. Their work appears in journals such as Journal of Diabetes Investigation, Diabetes Obesity and Metabolism, Diabetes, Proceedings of the National Academy of Sciences and Nutrients.

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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