S. Yoshida

55.1k citations
501 papers · 9.1k · h-index 53

Impact in

Papers in

S. Yoshida

467 papers receiving 8.7k citations

Peers

S. Yoshida
Comparison fields: 5 of 203
  • Nuclear and High Energy Physics 1.2k
  • Cellular and Molecular Neuroscience 1.2k
  • Biochemistry 443
  • Endocrine and Autonomic Systems 352
  • Sensory Systems 240
Replace James P. Morgan with:
James P. Morgan United States
Jianjun Liu China
Liang Yu China
Hiroshi Nakamura Japan
Sung Hoon Kim South Korea
Akira Suzuki Japan
James A. Hamilton United States
Zhong Chen China
Wěi Li China
Robert J. Gillies United States
S. Yoshida relative to James P. Morgan United States James P. Morgan's profile →
Citations per field
00.5×4.3×
James P. Morgan · 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 2004289
2 2004225
3 1994187
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 2002158
7 2005155
8 2008144
9 1979141
10 2002139
11 1993113
12 1989111
13 1994110
14 1995109
15 2002101
16 1978100
17 199398
18 199298
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, Astronomy and Astrophysics and Surgery, having authored 501 papers that have together received 9.1k indexed citations. Recurring topics across this work include Astrophysics and Cosmic Phenomena (40 papers), Ion channel regulation and function (32 papers), Neuroscience and Neuropharmacology Research (30 papers), Dark Matter and Cosmic Phenomena (28 papers), Neutrino Physics Research (22 papers), Neuroscience and Neural Engineering (19 papers), Radio Astronomy Observations and Technology (15 papers) and Receptor Mechanisms and Signaling (15 papers). The work is most often cited by research in Nuclear and High Energy Physics (1.2k citations), Cellular and Molecular Neuroscience (1.2k citations), Biochemistry (443 citations), Endocrine and Autonomic Systems (352 citations) and Sensory Systems (240 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 Journal of Dairy Science, Brain Research, Chemical and Pharmaceutical Bulletin, European Journal of Pharmacology and Life Sciences.

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.

Explore authors with similar magnitude of impact