Maki Sakuma

1.2k total citations
41 papers, 935 citations indexed

About

Maki Sakuma is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Maki Sakuma has authored 41 papers receiving a total of 935 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Endocrinology, Diabetes and Metabolism, 13 papers in Molecular Biology and 10 papers in Surgery. Recurrent topics in Maki Sakuma's work include Growth Hormone and Insulin-like Growth Factors (12 papers), Regulation of Appetite and Obesity (5 papers) and Cholesterol and Lipid Metabolism (4 papers). Maki Sakuma is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (12 papers), Regulation of Appetite and Obesity (5 papers) and Cholesterol and Lipid Metabolism (4 papers). Maki Sakuma collaborates with scholars based in Japan, Germany and United States. Maki Sakuma's co-authors include G. Inoué, Minoru Irie, Toshio Tsushima, E. Knobil, Takashi Nakao, Satoru Tanaka, Ryogo Nakamura, Kiyohisa Takahashi, Yutaka Honda and Saburo Takahashi and has published in prestigious journals such as The Lancet, Blood and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Maki Sakuma

39 papers receiving 859 citations

Peers

Maki Sakuma
Comparison fields: 5 of 92
  • Surgery 303
  • Endocrinology, Diabetes and Metabolism 273
  • Molecular Biology 227
  • Genetics 164
  • Rehabilitation 123
Replace I Sobue with:
I Sobue Japan
Sueli Pompolo Australia
Joanna Ciosek Poland
Yoshihiro Wakayama Japan
Daisuke Furutama Japan
Mihail Coculescu Romania
Thea Shavlakadze Australia
Anne M. von Euler Sweden
Robert T. Geertman United States
Vardit Kram United States
I Sobue Japan View profile →
Citations per field, relative to Maki Sakuma
Maki Sakuma · 1×
Citations per year, relative to Maki Sakuma
Maki Sakuma · 1×

Countries citing papers authored by Maki Sakuma

Since Specialization
Citations

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

Fields of papers citing papers by Maki Sakuma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maki Sakuma

This figure shows the co-authorship network connecting the top 25 collaborators of Maki Sakuma. A scholar is included among the top collaborators of Maki Sakuma 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 Maki Sakuma. Maki Sakuma 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 4
3 35
4 1
5 1
6 14
7 18
8 1
9 35
10 5
11 93
12 32
13 65
14
A sensitive radioimmunoassay method for urinary kinins in man.
120
15 52
16 6
17 1
18 1
19 34
20 10

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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