Takeshi Yoneshiro

9.2k citations
55 papers · 6.3k indexed · 4 hit papers · h-index 31
Topics
Adipose Tissue and Metabolism (53 papers)Exercise and Physiological Responses (27 papers)Thermoregulation and physiological responses (18 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Takeshi Yoneshiro

53 papers receiving 6.2k citations

Hit Papers

High Incidence of Metabolically Active Brown Adipose Tiss...2009202620142020200920132017201850010001.5k

Peers

Takeshi Yoneshiro
Comparison fields: 5 of 123
  • Physiology 5.4k
  • Epidemiology 2.1k
  • Rehabilitation 1.7k
  • Cardiology and Cardiovascular Medicine 1.3k
  • Molecular Biology 977
Replace Jang Hyun Choi with:
Jang Hyun Choi South Korea
Mami Matsushita Japan
Toshimitsu Kameya Japan
Lauren M. Sparks United States
Joris Hoeks Netherlands
Tore Bengtsson Sweden
Kyle A. Rasbach United States
Adrian Chabowski Poland
Erik J. Henriksen United States
Jean‐Paul Giacobino Switzerland
Takeshi Yoneshiro relative to Jang Hyun Choi South Korea Jang Hyun Choi's profile →
Citations per field
00.5×1.5×
Jang Hyun Choi · 1×
Citations per year

Countries citing papers authored by Takeshi Yoneshiro

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Yoneshiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takeshi Yoneshiro

This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Yoneshiro. A scholar is included among the top collaborators of Takeshi Yoneshiro 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 Takeshi Yoneshiro. Takeshi Yoneshiro 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 4
2 3
3 0
4 0
5 3
6 48
7 17
8 163
9 104
10 11
11 12
12 107
13 76
14
Recruited brown adipose tissue as an antiobesity agent in humansbreakdown →
755
15 64
16 116
17 47
18 132
19 8
20 221

About Takeshi Yoneshiro

Takeshi Yoneshiro is a scholar working on Rehabilitation, Physiology and Biochemistry, having authored 55 papers that have together received 6.3k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (53 papers), Exercise and Physiological Responses (27 papers) and Thermoregulation and physiological responses (18 papers). The work is most often cited by research in Rehabilitation (1.7k citations), Physiology (5.4k citations) and Biochemistry (451 citations). Takeshi Yoneshiro has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Masayuki Saito, Mami Matsushita, Toshimitsu Kameya, Yuko Kawai, Sayuri Aita, Toshihiko Iwanaga, Yuko Okamatsu‐Ogura, Kunihiro Nakada, Masayuki Tsujisaki and Masao Miyagawa. Their work appears in journals such as Nature, Journal of Clinical Investigation and Nature Medicine.

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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