Meire Nakamura

1.4k citations
10 papers · 1.1k indexed · h-index 8

Meire Nakamura

10 papers receiving 1.1k citations

Peers

Meire Nakamura
Comparison fields: 5 of 82
  • Physiology 681
  • Cellular and Molecular Neuroscience 454
  • Anesthesiology and Pain Medicine 129
  • Pharmacology 274
  • Pharmacology 110
Replace David M. Dirig with:
David M. Dirig United States
Carlos Rogério Tonussi Brazil
Steve Bramwell United Kingdom
May Hamza Egypt
TL Yaksh United States
Luis Menéndez Spain
Laurence Daulhac France
Geoffrey C. Kwiat United States
Laura Corradini Germany
Amanda Ellis United States
Meire Nakamura relative to David M. Dirig United States David M. Dirig's profile →
Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Meire Nakamura

Since Specialization
Citations

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

Fields of papers citing papers by Meire Nakamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 11 scholars most cited alongside Meire Nakamura, 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 Meire Nakamura Line = papers co-authored together Meire Nakamura links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 1988165
2
Peripheral modulation of pain in conscious guinea pigs: effect of morphine, nalorphine and clonidine.
19887
3 1987134
4 198615
5
[CSF morphine concentration and analgesic effect].
19841
6 1979222
7 1979248
8 197948
9 1978282
10
[General pharmacological studies on tramadol, a potent analgetic agent (author's transl)].
197821

About Meire Nakamura

Meire Nakamura is a scholar working on Cellular and Molecular Neuroscience, Pharmacology and Small Animals, having authored 10 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (6 papers), Pain Mechanisms and Treatments (5 papers), Inflammatory mediators and NSAID effects (4 papers), Receptor Mechanisms and Signaling (3 papers), Veterinary Pharmacology and Anesthesia (2 papers), Pharmacological Receptor Mechanisms and Effects (1 paper), Eicosanoids and Hypertension Pharmacology (1 paper) and Cancer, Stress, Anesthesia, and Immune Response (1 paper). The work is most often cited by research in Physiology (681 citations), Cellular and Molecular Neuroscience (454 citations) and Anesthesiology and Pain Medicine (129 citations). Meire Nakamura has collaborated with scholars based in Brazil. Frequent co-authors include Sérgio H. Ferreira, S. H. Ferreira, Sionaldo Eduardo Ferreira, Hideo Kanaide, J Nishimura, Tomoko Kitano, Elmar Friderichs, Hideaki Hayashi, Isao Ishii and Jun Ishikawa. Their work appears in journals such as Prostaglandins, European Journal of Pharmacology, Journal of Pharmacology and Experimental Therapeutics and PubMed.

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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