Hideko Arita

680 total citations
61 papers, 543 citations indexed

About

Hideko Arita is a scholar working on Physiology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Hideko Arita has authored 61 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Physiology, 15 papers in Surgery and 13 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Hideko Arita's work include Pain Mechanisms and Treatments (21 papers), Anesthesia and Pain Management (7 papers) and Plant-based Medicinal Research (7 papers). Hideko Arita is often cited by papers focused on Pain Mechanisms and Treatments (21 papers), Anesthesia and Pain Management (7 papers) and Plant-based Medicinal Research (7 papers). Hideko Arita collaborates with scholars based in Japan, United States and China. Hideko Arita's co-authors include Kazuo Hanaoka, Masakazu Hayashida, Hiroshi Sekiyama, Haihua Shu, Ju Mizuno, Wenqi Huang, Shunsuke Chiba, Ke An, Jun Ohashi and Naoyuki Tsuchiya and has published in prestigious journals such as Pain, International Journal of Molecular Sciences and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Hideko Arita

57 papers receiving 520 citations

Peers

Hideko Arita
Comparison fields: 5 of 92
  • Physiology 178
  • Pharmacology 103
  • Surgery 87
  • Molecular Biology 86
  • Pharmacology 71
Janice Arruda United States
Haihua Shu China
Saad Javed United Kingdom
Donglin Xiong China
Matias Nilsson Denmark
Ayhan Bozkurt Türkiye
Woong Mo Kim South Korea
Branislava Medić Serbia
Malcolm Stoker Netherlands
Janice Arruda United States View profile →
Citations per field, relative to Hideko Arita
Hideko Arita · 1×
Citations per year, relative to Hideko Arita
Hideko Arita · 1×

Countries citing papers authored by Hideko Arita

Since Specialization
Citations

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

Fields of papers citing papers by Hideko Arita

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideko Arita

This figure shows the co-authorship network connecting the top 25 collaborators of Hideko Arita. A scholar is included among the top collaborators of Hideko Arita 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 Hideko Arita. Hideko Arita 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
# Work Indexed citations
1 3
2 3
3 35
4 0
5 5
6 7
7 12
8
[Right median nerve injury following laparoscopic sigmoidectomy].
7
9 9
10 15
11 4
12 24
13 2
14
[Successful intravenous administration of low dose ketamine for pain caused by erythromelalgia: report of a case].
3
15 9
16 30
17 2
18 9
19 25
20
Isolamento do virus da estomatite vesicular em equinos no estado de sao paulo e persistencia de anticorpos em animais inoculados experimentalmente
1

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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