Mayumi Yano

1.2k total citations
49 papers, 909 citations indexed

About

Mayumi Yano is a scholar working on Molecular Biology, Surgery and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Mayumi Yano has authored 49 papers receiving a total of 909 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 16 papers in Surgery and 14 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Mayumi Yano's work include Diabetes and associated disorders (10 papers), Pancreatic function and diabetes (10 papers) and Diabetes Management and Research (6 papers). Mayumi Yano is often cited by papers focused on Diabetes and associated disorders (10 papers), Pancreatic function and diabetes (10 papers) and Diabetes Management and Research (6 papers). Mayumi Yano collaborates with scholars based in Japan, China and Australia. Mayumi Yano's co-authors include Kazunari Matsumoto, Yukitaka Ueki, Seibei Miyake, Yuko Tominaga, Yoshihiko Yamaguchi, Shoichi Akazawa, Shigenobu Nagataki, Eiji Kawasaki, Shigeo Uotani and Masaya Kato and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Care and Biochemistry.

In The Last Decade

Mayumi Yano

45 papers receiving 863 citations

Peers

Mayumi Yano
Comparison fields: 5 of 95
  • Endocrinology, Diabetes and Metabolism 365
  • Surgery 237
  • Genetics 235
  • Molecular Biology 229
  • Immunology 114
Replace Akira Mima with:
Akira Mima Japan
Dong Jun Lim South Korea
Toshimasa Takahashi Japan
Jiaqing Shao China
M. Laloi‐Michelin France
Nektaria Papadopoulou‐Marketou Greece
Kevin B. Atkins United States
Yukiko Nakata Japan
Guofeng Wang China
Eckart G. Hahn Germany
Akira Mima Japan View profile →
Citations per field, relative to Mayumi Yano
Mayumi Yano · 1×
Citations per year, relative to Mayumi Yano
Mayumi Yano · 1×

Countries citing papers authored by Mayumi Yano

Since Specialization
Citations

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

Fields of papers citing papers by Mayumi Yano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayumi Yano

This figure shows the co-authorship network connecting the top 25 collaborators of Mayumi Yano. A scholar is included among the top collaborators of Mayumi Yano 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 Mayumi Yano. Mayumi Yano 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 2
2 7
3 1
4 1
5 8
6 8
7 43
8 34
9 28
10 15
11 7
12 42
13 9
14 9
15 7
16 7
17 2
18 20
19 1
20 1

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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