Takatoshi Hikida

4.7k citations
87 papers · 3.3k · h-index 28

Impact in

Papers in

Takatoshi Hikida

82 papers receiving 3.3k citations

Peers

Takatoshi Hikida
Comparison fields: 5 of 139
  • Biological Psychiatry 216
  • Cellular and Molecular Neuroscience 1.7k
  • Behavioral Neuroscience 202
  • Cognitive Neuroscience 835
  • Endocrine and Autonomic Systems 149
Replace Andrés Ozaita with:
Andrés Ozaita Spain
Karima Chergui Sweden
Zachary A. Rodd United States
Roberto William Invernizzi Italy
Lori L. McMahon United States
Guido Maura Italy
Krista McFarland United States
Charles R. Yang United States
Chang-Gyu Hahn United States
Maria Lindskog Sweden
Takatoshi Hikida relative to Andrés Ozaita Spain Andrés Ozaita's profile →
Citations per field
00.5×1.6×
Andrés Ozaita · 1×
Citations per year

Countries citing papers authored by Takatoshi Hikida

Since Specialization
Citations

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

Fields of papers citing papers by Takatoshi Hikida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010468
2 2007336
3 2013227
4 2013144
5 2000142
6 2003129
7 2005103
8 201299
9 201293
10 201392
11 200392
12 200182
13 201479
14 202177
15 201976
16 201571
17 201468
18 201667
19 201057
20 202352

About Takatoshi Hikida

Takatoshi Hikida is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience, Social Psychology and Endocrine and Autonomic Systems, having authored 87 papers that have together received 3.3k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (28 papers), Neurotransmitter Receptor Influence on Behavior (24 papers), Neuroscience and Neuropharmacology Research (21 papers), Neuroendocrine regulation and behavior (10 papers), Memory and Neural Mechanisms (9 papers), Regulation of Appetite and Obesity (7 papers), Neural dynamics and brain function (7 papers) and Phosphodiesterase function and regulation (6 papers). The work is most often cited by research in Biological Psychiatry (216 citations), Cellular and Molecular Neuroscience (1.7k citations), Behavioral Neuroscience (202 citations), Cognitive Neuroscience (835 citations) and Endocrine and Autonomic Systems (149 citations). Takatoshi Hikida has collaborated with scholars based in Japan, United States and Canada. Frequent co-authors include Shigetada Nakanishi, Tom Macpherson, Ira Pastan, Akira Sawa, Kazuo Funabiki, Norio Wada, Satoshi Yawata, Takashi Yamaguchi, Teruko Danjo and Yasuji Kitabatake. Their work appears in journals such as Proceedings of the National Academy of Sciences, Neuroscience Research, Scientific Reports, Frontiers in Neuroscience and Biochemical and Biophysical Research Communications.

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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