Mayumi Yoshioka

3.9k citations
106 papers · 3.1k indexed · h-index 29
Topics
Adipose Tissue and Metabolism (28 papers)Muscle metabolism and nutrition (21 papers)Diet and metabolism studies (13 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEThe FASEB Journal
Partner nations
CanadaJapanUnited States

In The Last Decade

Mayumi Yoshioka

106 papers receiving 3.0k citations

Peers

Mayumi Yoshioka
Comparison fields: 5 of 142
  • Physiology 1.3k
  • Molecular Biology 623
  • Public Health, Environmental and Occupational Health 423
  • Cell Biology 373
  • Nutrition and Dietetics 361
Replace Masashige Suzuki with:
Masashige Suzuki Japan
Søren Snitker United States
José E. Galgani Chile
Jane Shearer Canada
Jason J. McDougall Canada
James A. McRoberts United States
Beverley Greenwood–Van Meerveld United States
Yoshio Tsuboi Japan
Cristóforo Scavone Brazil
David R. Linden United States
Mayumi Yoshioka relative to Masashige Suzuki Japan Masashige Suzuki's profile →
Citations per field
00.5×3.6×
Masashige Suzuki · 1×
Citations per year

Countries citing papers authored by Mayumi Yoshioka

Since Specialization
Citations

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

Fields of papers citing papers by Mayumi Yoshioka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayumi Yoshioka

This figure shows the co-authorship network connecting the top 25 collaborators of Mayumi Yoshioka. A scholar is included among the top collaborators of Mayumi Yoshioka 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 Yoshioka. Mayumi Yoshioka 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
#WorkIndexed citations
1 8
2 1
3 29
4 9
5 5
6 7
7 3
8 5
9 4
10 5
11 25
12 42
13 11
14 78
15 36
16 41
17 114
18
NEUROCHEMICAL MARKERS OF EMESIS INDUCED BY ANTI-CANCER DRUGS : ROLE OF CENTRAL MECHANISMS
1
19
The Effect of Capsaicin on Energy Substrates Utilization at Rest and During Exercise in Rats
4
20 30

About Mayumi Yoshioka

Mayumi Yoshioka is a scholar working on Endocrine and Autonomic Systems, Physiology and Sensory Systems, having authored 106 papers that have together received 3.1k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (28 papers), Muscle metabolism and nutrition (21 papers) and Diet and metabolism studies (13 papers). The work is most often cited by research in Sensory Systems (341 citations), Physiology (1.3k citations) and Endocrine and Autonomic Systems (233 citations). Mayumi Yoshioka has collaborated with scholars based in Canada, Japan and United States. Frequent co-authors include Jonny St‐Amand, Abdelaziz Ghanemi, Hiroaki Tanaka, Munehiro Shindo, Yuichiro Nishida, Masashige Suzuki, Sylvie St‐Pierre, Yutaka YOSHITAKE, Makoto Ayabe and Éric Doucet. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The FASEB Journal.

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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