Takuya Kobayashi

8.5k citations
83 papers · 6.3k indexed · 2 hit papers · h-index 34

Takuya Kobayashi

81 papers receiving 6.2k citations

Hit Papers

Structure of the human M2 muscarinic acetylcholine recept...6342011202620162021200400600

Peers

Takuya Kobayashi
Comparison fields: 5 of 139
  • Pharmacology 1.4k
  • Biochemistry 528
  • Cellular and Molecular Neuroscience 1.2k
  • Molecular Biology 3.4k
  • Nutrition and Dietetics 589
Replace Helga E. de Vries with:
Helga E. de Vries Netherlands
Ronald M. Burch United States
Roméo Cecchelli France
Ken Arai United States
Werner Schlegel Switzerland
Sandra Amor Netherlands
Uwe Schlattner France
Young Yang South Korea
Timothy E. McGraw United States
Masahiro Nishibori Japan
Takuya Kobayashi relative to Helga E. de Vries Netherlands Helga E. de Vries's profile →
Citations per field
00.5×3.2×
Helga E. de Vries · 1×
Citations per year

Countries citing papers authored by Takuya Kobayashi

Since Specialization
Citations

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

Fields of papers citing papers by Takuya Kobayashi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202214
2 202125
3 20214
4 202138
5 20192
6 201854
7 201853
8 201725
9 20166
10 201619
11 201239
12
Structure of the human M2 muscarinic acetylcholine receptor bound to an antagonistbreakdown →
2012634
13 201019
14 20106
15
Evaluation of Reputations in CGM based on Identification of Reviewer's Activity Area
20070
16 2003257
17 2002371
18 2002377
19 2002273
20 1997455

About Takuya Kobayashi

Takuya Kobayashi is a scholar working on Cellular and Molecular Neuroscience, Orthopedics and Sports Medicine and Pharmacology, having authored 83 papers that have together received 6.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (33 papers), Inflammatory mediators and NSAID effects (15 papers), Neuropeptides and Animal Physiology (11 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Biochemical Analysis and Sensing Techniques (8 papers), Sports injuries and prevention (8 papers), Glycosylation and Glycoproteins Research (5 papers) and Tendon Structure and Treatment (5 papers). The work is most often cited by research in Pharmacology (1.4k citations), Biochemistry (528 citations) and Cellular and Molecular Neuroscience (1.2k citations). Takuya Kobayashi has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Shuh Narumiya, Yukihiko Sugimoto, So Iwata, Fumitaka Ushikubi, Mitsunori Shiroishi, Takami Yurugi-Kobayashi, Tatsuro Shimamura, Tatsunori Murata, Atsushi Ichikawa and Masakazu Hirata. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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