Y Maruyama

1.7k citations
41 papers · 1.3k · h-index 18

Impact in

Papers in

Y Maruyama

39 papers receiving 1.3k citations

Peers

Y Maruyama
Comparison fields: 5 of 85
  • Sensory Systems 200
  • Cellular and Molecular Neuroscience 601
  • Physiology 109
  • Molecular Biology 1.1k
  • Cardiology and Cardiovascular Medicine 174
Replace Hisayuki Matsuo with:
Hisayuki Matsuo Japan
Kenji Kangawa Japan
Sandra Mammarella Italy
Ilse Sienaert Belgium
A.G. Filoteo United States
Florian Ullrich Germany
Victor G. Romanenko United States
C. Newton United States
Angela D. Burgstahler United States
J. R. Greenwell Russia
Y Maruyama relative to Hisayuki Matsuo Japan Hisayuki Matsuo's profile →
Citations per field
00.5×1.5×
Hisayuki Matsuo · 1×
Citations per year

Countries citing papers authored by Y Maruyama

Since Specialization
Citations

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

Fields of papers citing papers by Y Maruyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983221
2 1982175
3 1982141
4 199397
5 198472
6 198761
7 198456
8 199448
9 198847
10 198940
11 198339
12 199833
13 200332
14 201230
15 198527
16 198126
17 199224
18 199322
19 199016
20 198615

About Y Maruyama

Y Maruyama is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Surgery, Cardiology and Cardiovascular Medicine and Oncology, having authored 41 papers that have together received 1.3k indexed citations. Recurring topics across this work include Ion channel regulation and function (21 papers), Neuroscience and Neuropharmacology Research (7 papers), Lipid Membrane Structure and Behavior (6 papers), Cardiac electrophysiology and arrhythmias (4 papers), Neuroscience and Neural Engineering (4 papers), Pancreatic function and diabetes (4 papers), Receptor Mechanisms and Signaling (3 papers) and Bladder and Urothelial Cancer Treatments (3 papers). The work is most often cited by research in Sensory Systems (200 citations), Cellular and Molecular Neuroscience (601 citations), Physiology (109 citations), Molecular Biology (1.1k citations) and Cardiology and Cardiovascular Medicine (174 citations). Y Maruyama has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Ole H. Petersen, D.V. Gallacher, Yasushi Miyashita, Haruo Kasai, Danielle Moore, Kiyoshi Kurokawa, Masahiro Ikeda, Itsuro Kazama, Yoshimichi Murata and Makoto Sano. Their work appears in journals such as The Journal of Physiology, Pflügers Archiv - European Journal of Physiology, Nature, Domestic Animal Endocrinology and Spectrochimica Acta Part B Atomic Spectroscopy.

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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