Hitoshi Inada

3.5k citations
58 papers · 2.7k · h-index 22

Impact in

  • Aging top 0.2%
    • Genetics, Aging, and Longevity in Model Organisms
    • Ion Channels and Receptors
    • Olfactory and Sensory Function Studies

Papers in

Hitoshi Inada

55 papers receiving 2.6k citations

Peers

Hitoshi Inada
Comparison fields: 5 of 121
  • Aging 584
  • Sensory Systems 1.1k
  • Endocrine and Autonomic Systems 532
  • Nutrition and Dietetics 564
  • Cellular and Molecular Neuroscience 624
Replace Jaime Garcı́a-Añoveros with:
Jaime Garcı́a-Añoveros United States
Paul D. Wes United States
Ali D. Güler United States
Éric Lingueglia France
Anne C. Hergarden United States
Ajay Dhaka United States
Guy C.‐K. Chan United States
Kelvin Y. Kwan United States
Stephan Kellenberger Switzerland
Melissa A. Vollrath United States
Hitoshi Inada relative to Jaime Garcı́a-Añoveros United States Jaime Garcı́a-Añoveros's profile →
Citations per field
00.5×2×3×3.8×
Jaime Garcı́a-Añoveros · 1×
Citations per year

Countries citing papers authored by Hitoshi Inada

Since Specialization
Citations

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

Fields of papers citing papers by Hitoshi Inada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006391
2 2009251
3 2008193
4 2010163
5 2008162
6 2010160
7 2006139
8 2002123
9 2013122
10 2008116
11 200678
12 200876
13 201273
14 200563
15 200660
16 200659
17 202153
18 201450
19 202048
20 202237

About Hitoshi Inada

Hitoshi Inada is a scholar working on Molecular Biology, Sensory Systems, Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Aging, having authored 58 papers that have together received 2.7k indexed citations. Recurring topics across this work include Ion Channels and Receptors (11 papers), Genetics, Aging, and Longevity in Model Organisms (8 papers), Circadian rhythm and melatonin (7 papers), Biochemical Analysis and Sensing Techniques (6 papers), Neuroendocrine regulation and behavior (5 papers), Epigenetics and DNA Methylation (5 papers), Adipose Tissue and Metabolism (4 papers) and Photosynthetic Processes and Mechanisms (4 papers). The work is most often cited by research in Aging (584 citations), Sensory Systems (1.1k citations), Endocrine and Autonomic Systems (532 citations), Nutrition and Dietetics (564 citations) and Cellular and Molecular Neuroscience (624 citations). Hitoshi Inada has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Makoto Tominaga, Ikue Mori, Hiroaki Matsunami, Yoshiro Ishimaru, Atsushi Kuhara, Hanyi Zhuang, Kazuya Togashi, Rachelle Gaudet, Hiroko Itô and Noriko Osumi. Their work appears in journals such as Plant and Cell Physiology, Genetics, EMBO Reports, Scientific Reports and Nature Neuroscience.

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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