Masaki Kurihara

2.2k citations
80 papers · 1.8k indexed · h-index 24
Topics
Receptor Mechanisms and Signaling (14 papers)Heart Failure Treatment and Management (11 papers)Neuropeptides and Animal Physiology (11 papers)

In The Last Decade

Masaki Kurihara

77 papers receiving 1.8k citations

Peers

Masaki Kurihara
Comparison fields: 5 of 118
  • Molecular Biology 585
  • Cardiology and Cardiovascular Medicine 535
  • Cellular and Molecular Neuroscience 338
  • Physiology 319
  • Endocrinology, Diabetes and Metabolism 273
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Amer Alshekhlee United States
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Citations per field
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Citations per year

Countries citing papers authored by Masaki Kurihara

Since Specialization
Citations

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

Fields of papers citing papers by Masaki Kurihara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masaki Kurihara

This figure shows the co-authorship network connecting the top 25 collaborators of Masaki Kurihara. A scholar is included among the top collaborators of Masaki Kurihara based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Masaki Kurihara. Masaki Kurihara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 2
3 219
4
[Neuroemergency and rehabilitation--consideration of a comprehensive stroke care system in the community].
0
5 4
6 22
7
Low-dose cisplatin and 5-fluorouracil in combination can repress increased gene expression of cellular resistance determinants to themselves.
67
8
A study to improve the safety of expressways by desirable combinations of geometric alignments
14
9 29
10 8
11 18
12 11
13 19
14 23
15 8
16 29
17 24
18 9
19 13
20 7

About Masaki Kurihara

Masaki Kurihara is a scholar working on Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Behavioral Neuroscience, having authored 80 papers that have together received 1.8k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (14 papers), Heart Failure Treatment and Management (11 papers) and Neuropeptides and Animal Physiology (11 papers). The work is most often cited by research in Endocrine and Autonomic Systems (161 citations), Cardiology and Cardiovascular Medicine (535 citations) and Behavioral Neuroscience (77 citations). Masaki Kurihara has collaborated with scholars based in Japan, United States and Czechia. Frequent co-authors include Juan M. Saavedra, Kazuto Shigematsu, Juan M. Saavedra, J. Silvio Gutkind, Anita Israel, Eero Ċastrén, Laura M. Plunkett, Fernando Morgan de Aguiar Corrêa, Makoto Ishikawa and Yukiko Inoue. Their work appears in journals such as Nature, Circulation Research and Biological Psychiatry.

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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