Hiroshi Inooka

612 total citations
15 papers, 376 citations indexed

About

Hiroshi Inooka is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Endocrine and Autonomic Systems. According to data from OpenAlex, Hiroshi Inooka has authored 15 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Cellular and Molecular Neuroscience and 3 papers in Endocrine and Autonomic Systems. Recurrent topics in Hiroshi Inooka's work include Neuropeptides and Animal Physiology (7 papers), Receptor Mechanisms and Signaling (5 papers) and Chemical Synthesis and Analysis (3 papers). Hiroshi Inooka is often cited by papers focused on Neuropeptides and Animal Physiology (7 papers), Receptor Mechanisms and Signaling (5 papers) and Chemical Synthesis and Analysis (3 papers). Hiroshi Inooka collaborates with scholars based in Japan and United States. Hiroshi Inooka's co-authors include Satoshi Endo, Chieko Kitada, Tetsuya Ohtaki, Eiji Mizuta, Masahiko Fujino, Masahiro Shirakawa, Haruo Onda, Kazuhiro Ogi, Takahisa Ikegami and Masahiko Fujino and has published in prestigious journals such as Biochemical and Biophysical Research Communications, FEBS Letters and Journal of Medicinal Chemistry.

In The Last Decade

Hiroshi Inooka

15 papers receiving 366 citations

Peers

Hiroshi Inooka
Comparison fields: 5 of 60
  • Molecular Biology 276
  • Cellular and Molecular Neuroscience 210
  • Oncology 48
  • Physiology 43
  • Endocrinology, Diabetes and Metabolism 39
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Citations per field, relative to Hiroshi Inooka
Hiroshi Inooka · 1×
Citations per year, relative to Hiroshi Inooka
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Countries citing papers authored by Hiroshi Inooka

Since Specialization
Citations

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

Fields of papers citing papers by Hiroshi Inooka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hiroshi Inooka

This figure shows the co-authorship network connecting the top 25 collaborators of Hiroshi Inooka. A scholar is included among the top collaborators of Hiroshi Inooka 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 Hiroshi Inooka. Hiroshi Inooka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 21
2 16
3 15
4 9
5 18
6 7
7 14
8 14
9 2
10
[Conformation of a peptide ligand bound to its G-protein coupled receptor and its implication for ligand transportation].
1
11 145
12
Pituitary adenylate cyclase activating polypeptide (PACAP) with 27 residues. Conformation determined by 1H NMR and CD spectroscopies and distance geometry in 25% methanol solution.
24
13 25
14 13
15 52

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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2026