Shinji Nakane

4.6k citations
21 papers · 3.8k indexed · 1 hit paper · h-index 18

Shinji Nakane

21 papers receiving 3.8k citations

Hit Papers

2-Arachidonoylgylcerol: A Possible Endogenous Cannabinoid...1.8k199520262005201550010001.5k

Peers

Shinji Nakane
Comparison fields: 5 of 98
  • Pharmacology 3.2k
  • Toxicology 486
  • Cellular and Molecular Neuroscience 1.6k
  • Endocrine and Autonomic Systems 468
  • Cognitive Neuroscience 683
Replace Raphael Mechoulam with:
Raphael Mechoulam Israel
Michael Bayewitch Israel
Darren Fegley United States
Alex Straiker United States
T. P. Dinh United States
Laura J. Sim‐Selley United States
Basalingappa L. Hungund United States
Lisa A. Matsuda United States
Bernard Calandra France
Nancy E. Buckley United States
Shinji Nakane relative to Raphael Mechoulam Israel Raphael Mechoulam's profile →
Citations per field
00.5×1.5×
Raphael Mechoulam · 1×
Citations per year

Countries citing papers authored by Shinji Nakane

Since Specialization
Citations

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

Fields of papers citing papers by Shinji Nakane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 2005142
2 2002106
3 200286
4 200114
5 20019
6 200147
7 2000317
8 200024
9 1999262
10 199986
11 1998126
12 1998121
13 1997109
14 199759
15 199636
16 1996170
17 1996187
18 199617
19 1996139
20
2-Arachidonoylgylcerol: A Possible Endogenous Cannabinoid Receptor Ligand in Brainbreakdown →
19951761

About Shinji Nakane

Shinji Nakane is a scholar working on Toxicology, Pharmacology and Biochemistry, having authored 21 papers that have together received 3.8k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (15 papers), Alcohol Consumption and Health Effects (6 papers), Sphingolipid Metabolism and Signaling (5 papers), Lipid metabolism and biosynthesis (5 papers), Forensic Toxicology and Drug Analysis (4 papers), Neuroscience and Neuropharmacology Research (3 papers), GABA and Rice Research (3 papers) and Lipid Membrane Structure and Behavior (3 papers). The work is most often cited by research in Pharmacology (3.2k citations), Toxicology (486 citations) and Cellular and Molecular Neuroscience (1.6k citations). Shinji Nakane has collaborated with scholars based in Japan and United States. Frequent co-authors include Takayuki Sugiura, Keizo Waku, Atsushi Yamashita, Shigeru Kondo, Akira Shinoda, Kohji Itoh, Sachiko Kondo, Tomoko Kodaka, Seishi Kishimoto and Takashi Tonegawa. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Biological Chemistry, European Journal of Biochemistry, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids and Bioorganic & Medicinal Chemistry Letters.

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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