Yasutaka Maeda

3.2k citations
76 papers · 2.0k indexed · h-index 27
Topics
Pancreatic function and diabetes (9 papers)Diabetes Treatment and Management (8 papers)Diabetes Management and Research (7 papers)

In The Last Decade

Yasutaka Maeda

74 papers receiving 2.0k citations

Peers

Yasutaka Maeda
Comparison fields: 5 of 120
  • Molecular Biology 661
  • Endocrinology, Diabetes and Metabolism 517
  • Surgery 458
  • Physiology 349
  • Cardiology and Cardiovascular Medicine 303
Replace Zhaoyun Zhang with:
Zhaoyun Zhang China
Motoaki Saito Japan
Rhéure Alves-Lopes United Kingdom
Susana Rovira‐Llopis Spain
Delbert G. Gillespie United States
Neslihan Bukan Türkiye
Rina Hemi Israel
Ling Gao China
Ken‐ichi Aihara Japan
Arnold Sipos United States
Yasutaka Maeda relative to Zhaoyun Zhang China Zhaoyun Zhang's profile →
Citations per field
00.5×1.5×
Zhaoyun Zhang · 1×
Citations per year

Countries citing papers authored by Yasutaka Maeda

Since Specialization
Citations

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

Fields of papers citing papers by Yasutaka Maeda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasutaka Maeda

This figure shows the co-authorship network connecting the top 25 collaborators of Yasutaka Maeda. A scholar is included among the top collaborators of Yasutaka Maeda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yasutaka Maeda. Yasutaka Maeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 1
4 3
5 3
6 1
7 7
8 6
9 64
10 22
11 39
12 37
13
Development of backfilling material using fly ash by application of chemical injection
1
14 22
15 203
16 50
17 29
18 22
19 21
20
Successful ICSI by using piezo micromanipulator in bovine oocytes
3

About Yasutaka Maeda

Yasutaka Maeda is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Neurology, having authored 76 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (9 papers), Diabetes Treatment and Management (8 papers) and Diabetes Management and Research (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (517 citations), Nephrology (191 citations) and Clinical Biochemistry (133 citations). Yasutaka Maeda has collaborated with scholars based in Japan, United States and Denmark. Frequent co-authors include Toyoshi Inoguchi, Ryoichi Takayanagi, Noriyuki Sonoda, Shuji Sasaki, Kunihisa Kobayashi, Masakazu Fujii, Jing Zheng, Noriko Ikeda, Hisashi Yokomizo and Ryoko Takei. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and PLoS ONE.

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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