Machi Furuta

41 papers receiving 1.8k citations

Peers

Machi Furuta
Comparison fields: 5 of 89
  • Endocrine and Autonomic Systems 212
  • Endocrinology, Diabetes and Metabolism 458
  • Cell Biology 333
  • Aging 30
  • Cellular and Molecular Neuroscience 293
Replace Mika Ilves with:
Mika Ilves Finland
Marlène Dufresne France
Dominique Joubert France
Atsunori Saraya Japan
Thomas J. Ribar United States
Marily Theodoropoulou Germany
Hagit Shapira Israel
Milton R. Brown United States
Olivia Wendling France
Amy L. Firth United States
Machi Furuta relative to Mika Ilves Finland Mika Ilves's profile →
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Citations per year

Countries citing papers authored by Machi Furuta

Since Specialization
Citations

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

Fields of papers citing papers by Machi Furuta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Machi Furuta, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Machi Furuta Line = papers co-authored together Machi Furuta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997363
2 1995305
3 1998157
4 2001131
5 2005126
6 200196
7 200076
8 201971
9 199956
10 200354
11 200246
12 202040
13 201834
14 201833
15 199527
16 200824
17 199523
18 199422
19 200820
20 200519

About Machi Furuta

Machi Furuta is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Physiology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 41 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (12 papers), Diabetes and associated disorders (5 papers), Diabetes Management and Research (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Diabetes Treatment and Management (3 papers), Pain Mechanisms and Treatments (3 papers) and Cardiovascular Health and Disease Prevention (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (212 citations), Endocrinology, Diabetes and Metabolism (458 citations), Cell Biology (333 citations), Aging (30 citations) and Cellular and Molecular Neuroscience (293 citations). Machi Furuta has collaborated with scholars based in Japan, United States and Switzerland. Frequent co-authors include Donald F. Steiner, Mariella Ravazzola, Raymond J. Carroll, Lelio Orci, Yves Rouillé, Hiroto Furuta, An Zhou, Tokio Sanke, Jens J. Holst and Hideki Yano. Their work appears in journals such as Journal of Diabetes Investigation, Diabetes Research and Clinical Practice, Journal of Biological Chemistry, Diabetes and Metabolic Syndrome and Related Disorders.

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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