Makoto Endo

8.5k citations
113 papers · 6.6k indexed · 3 hit papers · h-index 38

Makoto Endo

111 papers receiving 6.1k citations

Hit Papers

Calcium Induced Release of Calcium from the Sarcoplasmic ...65219682026198720064008001.2k

Peers

Makoto Endo
Comparison fields: 5 of 142
  • Cardiology and Cardiovascular Medicine 2.5k
  • Cellular and Molecular Neuroscience 1.9k
  • Physiology 368
  • Sensory Systems 382
  • Molecular Biology 4.6k
Replace Angela F. Dulhunty with:
Angela F. Dulhunty Australia
Kurt G. Beam United States
Pompeo Volpe Italy
Eduardo Rı́os United States
Clara Franzini‐Armstrong United States
Francesco Zorzato Italy
Paul D. Allen United States
Frank Lehmann‐Horn Germany
Yasuo Ogawa Japan
Feliciano Protasi Italy
Makoto Endo relative to Angela F. Dulhunty Australia Angela F. Dulhunty's profile →
Citations per field
00.5×1.5×
Angela F. Dulhunty · 1×
Citations per year

Countries citing papers authored by Makoto Endo

Since Specialization
Citations

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

Fields of papers citing papers by Makoto Endo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20181
2 201613
3 20105
4 20072
5 20071
6 20057
7 200546
8 200352
9 200213
10 20018
11 199721
12 1996147
13 199428
14 1992262
15
Effects of several volatile anesthetics on the Ca(2+)-related functions of skinned skeletal muscle fibers from the guinea pig.
199115
16 19893
17 19882
18
Conditions Required for Calcium-Induced Release of Calcium from the Sarcoplasmic Reticulum
197511
19 1972126
20
Calcium and muscle contractionbreakdown →
19681441

About Makoto Endo

Makoto Endo is a scholar working on Physiology, Cell Biology and Cardiology and Cardiovascular Medicine, having authored 113 papers that have together received 6.6k indexed citations. Recurring topics across this work include Ion channel regulation and function (34 papers), Muscle Physiology and Disorders (16 papers), Muscle activation and electromyography studies (14 papers), Cardiomyopathy and Myosin Studies (12 papers), Neuroscience and Neuropharmacology Research (7 papers), Mitochondrial Function and Pathology (6 papers), Neuroscience and Neural Engineering (6 papers) and Adipose Tissue and Metabolism (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.5k citations), Cellular and Molecular Neuroscience (1.9k citations) and Physiology (368 citations). Makoto Endo has collaborated with scholars based in Japan, United States and Pakistan. Frequent co-authors include S Ebashi, Masamitsu Iino, Yasuo Ogawa, Iwao Ohtsuki, Setsuro Ebashi, Minoru Tanaka, Takaaki Ikemoto, Tatsuya Kobayashi, Yoshiaki Nonomura and Yasuko Nakajima. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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