Morikatsu Yoshida

954 citations
23 papers · 765 indexed · h-index 14

Morikatsu Yoshida

23 papers receiving 750 citations

Peers

Morikatsu Yoshida
Comparison fields: 5 of 81
  • Endocrine and Autonomic Systems 123
  • Aging 29
  • Cellular and Molecular Neuroscience 292
  • Sensory Systems 68
  • Cardiology and Cardiovascular Medicine 152
Replace Mart H. Mojet with:
Mart H. Mojet United Kingdom
Leonardo Vinícius Monteiro de Assis Brazil
Davide Basco Italy
J Chevesich United States
Toshiko Hara Japan
Santiago B. Plurad United States
Koh‐ichi Enomoto Japan
Maria Nathália Moraes Brazil
Yuanpei Xin United States
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Citations per field
00.5×4.7×
Mart H. Mojet · 1×
Citations per year

Countries citing papers authored by Morikatsu Yoshida

Since Specialization
Citations

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

Fields of papers citing papers by Morikatsu Yoshida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20238
2 20215
3 20211
4 201733
5 201715
6 20178
7 201214
8 201246
9 201147
10 20118
11 201015
12 201013
13 200912
14 2007119
15 200734
16 200570
17 200462
18 200116
19 2001155
20
Serum gamma-glutamyl transferase level in predicting hypertension among male drinkers.
199458

About Morikatsu Yoshida

Morikatsu Yoshida is a scholar working on Aging, Endocrine and Autonomic Systems and Cellular and Molecular Neuroscience, having authored 23 papers that have together received 765 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (6 papers), Ion channel regulation and function (4 papers), Receptor Mechanisms and Signaling (4 papers), Neuropeptides and Animal Physiology (4 papers), Circadian rhythm and melatonin (3 papers), Blood Pressure and Hypertension Studies (3 papers), Cardiovascular Health and Disease Prevention (3 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (123 citations), Aging (29 citations) and Cellular and Molecular Neuroscience (292 citations). Morikatsu Yoshida has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Hiroshi Takeshima, Kenji Kangawa, Miyuki Nishi, Shinji Komazaki, Kenji Kitamura, Kazushige Sasamoto, Koichi Ito, Mikiya Miyazato, Takeshi Soeki and Takeshi Horio. Their work appears in journals such as Biochemical and Biophysical Research Communications, American Journal of Hypertension, The Journal of Cell Biology, Journal of Molecular Neuroscience and Channels.

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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