Toshio Yokoi

1.7k citations
74 papers · 1.4k indexed · h-index 19
Topics
Chemical Synthesis and Analysis (14 papers)Neuropeptides and Animal Physiology (10 papers)Receptor Mechanisms and Signaling (9 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Toshio Yokoi

70 papers receiving 1.3k citations

Peers

Toshio Yokoi
Comparison fields: 5 of 129
  • Molecular Biology 623
  • Organic Chemistry 261
  • Cellular and Molecular Neuroscience 232
  • Pharmacology 189
  • Biomaterials 165
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Chelliah Selvam United States
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Reyhaneh Sariri Iran
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Citations per field
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Hongmei Li · 1×
Citations per year

Countries citing papers authored by Toshio Yokoi

Since Specialization
Citations

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

Fields of papers citing papers by Toshio Yokoi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Toshio Yokoi

This figure shows the co-authorship network connecting the top 25 collaborators of Toshio Yokoi. A scholar is included among the top collaborators of Toshio Yokoi 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 Toshio Yokoi. Toshio Yokoi 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 27
2 98
3 6
4 2
5 14
6 8
7
Development of Experimental Prototype System for SDR Certification Simulation
1
8 45
9
Analysis of Gastric Mucosus membrane-protective compounds in Coptidis rhizoma
2
10
Development of μ-Receptor Selective Opioid Mimetics Derived from Endomorphin Sequences
1
11 42
12 4
13
Isolation of Free Radical Scavenger from Coptidis Rhizoma
5
14
Gastric Mucous Membrane-Protective Principles of Coptidis Rhizoma
3
15 5
16 1
17 17
18
Overall design of SIMPOS.
4
19
Basic Software System.
3
20 10

About Toshio Yokoi

Toshio Yokoi is a scholar working on Drug Discovery, Pharmacology and Organic Chemistry, having authored 74 papers that have together received 1.4k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (14 papers), Neuropeptides and Animal Physiology (10 papers) and Receptor Mechanisms and Signaling (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (232 citations), Biomaterials (165 citations) and Toxicology (42 citations). Toshio Yokoi has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Tetsuro Shingu, Kunio Kosaka, Yoshio Takeda, Kenichi Inoue, T. Ikumoto, Hiroyuki Inouye, Yuko Tsuda, Tohru Kikuchi, Sharon D. Bryant and Yoshio Okada. Their work appears in journals such as Biochemical and Biophysical Research Communications, Annals of the New York Academy of Sciences and Journal of Medicinal Chemistry.

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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