Yasutaka Maeda

3.2k total citations
76 papers, 2.0k citations indexed

About

Yasutaka Maeda is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Yasutaka Maeda has authored 76 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Endocrinology, Diabetes and Metabolism, 18 papers in Surgery and 17 papers in Molecular Biology. Recurrent topics in Yasutaka Maeda's work include Pancreatic function and diabetes (9 papers), Diabetes Treatment and Management (8 papers) and Diabetes Management and Research (7 papers). Yasutaka Maeda is often cited by papers focused on Pancreatic function and diabetes (9 papers), Diabetes Treatment and Management (8 papers) and Diabetes Management and Research (7 papers). Yasutaka Maeda collaborates with scholars based in Japan, United States and Denmark. Yasutaka Maeda's co-authors include Toyoshi Inoguchi, Ryoichi Takayanagi, Noriyuki Sonoda, Shuji Sasaki, Kunihisa Kobayashi, Masakazu Fujii, Jing Zheng, Noriko Ikeda, Hisashi Yokomizo and Ryoko Takei and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and PLoS ONE.

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 Ken‐ichi Aihara with:
Ken‐ichi Aihara Japan
Zhaoyun Zhang China
Rina Hemi Israel
Motoaki Saito Japan
Swasti Tiwari India
Delbert G. Gillespie United States
Rhéure Alves-Lopes United Kingdom
Teresa Villarreal‐Molina Mexico
Neslihan Bukan Türkiye
Susana Rovira‐Llopis Spain
Ken‐ichi Aihara Japan View profile →
Citations per field, relative to Yasutaka Maeda
Yasutaka Maeda · 1×
Citations per year, relative to Yasutaka Maeda
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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
# Work Indexed 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

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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