S. Yoshida

53.1k citations
501 papers · 9.1k · h-index 53

Impact in

Papers in

S. Yoshida

468 papers receiving 8.7k citations

Peers

S. Yoshida
Comparison fields: 5 of 203
  • Nuclear and High Energy Physics 1.1k
  • Cellular and Molecular Neuroscience 1.2k
  • Biochemistry 457
  • Endocrine and Autonomic Systems 406
  • Sensory Systems 261
Replace Jianjun Liu with:
Jianjun Liu China
Sung Hoon Kim South Korea
Hiroshi Nakamura Japan
Akira Suzuki Japan
James A. Hamilton United States
Zhong Chen China
Wěi Li China
Douglas L. Arnold Canada
D. I. Jones United Kingdom
Fudi Wang China
S. Yoshida relative to Jianjun Liu China Jianjun Liu's profile →
Citations per field
00.5×5.8×
Jianjun Liu · 1×
Citations per year

Countries citing papers authored by S. Yoshida

Since Specialization
Citations

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

Fields of papers citing papers by S. Yoshida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside S. Yoshida, 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 S. Yoshida Line = papers co-authored together S. Yoshida links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 501 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004286
2 2004223
3 1994184
4 2007162
5
Improvement of glucose and lipid metabolism associated with selective reduction of intra-abdominal visceral fat in premenopausal women with visceral fat obesity.
1991160
6 2002157
7 2005155
8 2008145
9 1979141
10 2002139
11 1989111
12 1994110
13 1993107
14 1995105
15 2002101
16 1978100
17 199299
18 199398
19 201197
20 201192

About S. Yoshida

S. Yoshida is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Nuclear and High Energy Physics, Surgery and Astronomy and Astrophysics, having authored 501 papers that have together received 9.1k indexed citations. Recurring topics across this work include Astrophysics and Cosmic Phenomena (39 papers), Neuroscience and Neuropharmacology Research (33 papers), Ion channel regulation and function (33 papers), Dark Matter and Cosmic Phenomena (27 papers), Neutrino Physics Research (22 papers), Neuroscience and Neural Engineering (19 papers), Receptor Mechanisms and Signaling (18 papers) and Radio Astronomy Observations and Technology (15 papers). The work is most often cited by research in Nuclear and High Energy Physics (1.1k citations), Cellular and Molecular Neuroscience (1.2k citations), Biochemistry (457 citations), Endocrine and Autonomic Systems (406 citations) and Sensory Systems (261 citations). S. Yoshida has collaborated with scholars based in Japan, United States and Türkiye. Frequent co-authors include M. Teshima, Okan Duru, Emrah Bulut, Takahide Ohishi, Atsufumi Kawabata, Yoshio Matsuda, Yoshihiro Matsuda, Fumiko Sekiguchi, Takeshi Yonezawa and Toshitaka Nabeshima. Their work appears in journals such as Chemical and Pharmaceutical Bulletin, Journal of Dairy Science, Brain Research, European Journal of Pharmacology and Biochemical and Biophysical Research Communications.

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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