Maki Matsubara

687 citations
10 papers · 573 indexed · h-index 9
Topics
Growth Hormone and Insulin-like Growth Factors (4 papers)Biochemical Analysis and Sensing Techniques (4 papers)Regulation of Appetite and Obesity (4 papers)

In The Last Decade

Maki Matsubara

9 papers receiving 559 citations

Peers

Maki Matsubara
Comparison fields: 5 of 60
  • Endocrine and Autonomic Systems 423
  • Nutrition and Dietetics 317
  • Physiology 258
  • Endocrinology, Diabetes and Metabolism 114
  • Epidemiology 77
Replace Takahiro Hayashida with:
Takahiro Hayashida Japan
João A.B. Pedroso Brazil
C. Ruth González Spain
Peggy L. Surface United States
Dana I. Briggs Australia
Elisa Arnoletti Italy
Alain Aubourg France
Carmen Arribas Spain
Hideyuki Sone Japan
Jonas Benzler Germany
Maki Matsubara relative to Takahiro Hayashida Japan Takahiro Hayashida's profile →
Citations per field
00.5×1.5×1.8×
Takahiro Hayashida · 1×
Citations per year

Countries citing papers authored by Maki Matsubara

Since Specialization
Citations

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

Fields of papers citing papers by Maki Matsubara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maki Matsubara

This figure shows the co-authorship network connecting the top 25 collaborators of Maki Matsubara. A scholar is included among the top collaborators of Maki Matsubara 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 Matsubara. Maki Matsubara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 0
2 14
3 25
4 79
5 258
6 59
7 75
8 24
9 19
10 20

About Maki Matsubara

Maki Matsubara is a scholar working on Endocrine and Autonomic Systems, Nutrition and Dietetics and Endocrinology, Diabetes and Metabolism, having authored 10 papers that have together received 573 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (4 papers), Biochemical Analysis and Sensing Techniques (4 papers) and Regulation of Appetite and Obesity (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (423 citations), Nutrition and Dietetics (317 citations) and Physiology (258 citations). Maki Matsubara has collaborated with scholars based in Japan, United States and Belgium. Frequent co-authors include Mami Yamazaki, Ichiro Sakata, Kenji Kangawa, Takafumi Sakai, Kazuaki Nakamura, Tatsuo Sakai, Kinji Inoue, Reiko Wada, Toshio Harigaya and Haruo Nogami. Their work appears in journals such as Endocrinology, The Journal of Pathology and Investigative Ophthalmology & Visual Science.

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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