Hideaki Yano

2.5k citations
47 papers · 1.9k indexed · h-index 26
Topics
Receptor Mechanisms and Signaling (30 papers)Neuroscience and Neuropharmacology Research (14 papers)Neuropeptides and Animal Physiology (14 papers)
Partner nations
United StatesSpainItaly

In The Last Decade

Hideaki Yano

46 papers receiving 1.9k citations

Peers

Hideaki Yano
Comparison fields: 5 of 114
  • Molecular Biology 1.2k
  • Cellular and Molecular Neuroscience 919
  • Oncology 120
  • Pharmacology 114
  • Biomedical Engineering 112
Replace Jae‐Won Yang with:
Jae‐Won Yang Austria
John S. Shaw United Kingdom
Val J. Watts United States
Masaru Kurosawa Japan
Mark A. DeCoster United States
Alexey M. Petrov Russia
Xiaoli Liang United States
Hanna Lindgren Sweden
He Zhu United States
Vedrana Montana United States
Hideaki Yano relative to Jae‐Won Yang Austria Jae‐Won Yang's profile →
Citations per field
00.5×
Jae‐Won Yang · 1×
Citations per year

Countries citing papers authored by Hideaki Yano

Since Specialization
Citations

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

Fields of papers citing papers by Hideaki Yano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideaki Yano

This figure shows the co-authorship network connecting the top 25 collaborators of Hideaki Yano. A scholar is included among the top collaborators of Hideaki Yano 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 Hideaki Yano. Hideaki Yano 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 1
2 1
3 0
4 3
5 4
6 26
7 18
8 30
9 62
10 8
11 10
12 54
13 51
14 36
15 60
16 61
17 47
18 102
19 92
20 133

About Hideaki Yano

Hideaki Yano is a scholar working on Cellular and Molecular Neuroscience, Process Chemistry and Technology and Molecular Biology, having authored 47 papers that have together received 1.9k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (30 papers), Neuroscience and Neuropharmacology Research (14 papers) and Neuropeptides and Animal Physiology (14 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (919 citations), Biological Psychiatry (81 citations) and Virology (87 citations). Hideaki Yano has collaborated with scholars based in United States, Spain and Italy. Frequent co-authors include Jonathan A. Javitch, Lei Shi, Alessandro Bonifazi, Sergi Ferré, Eneko Urizar, Matthias Quick, Amy Hauck Newman, Marta Sánchez‐Soto, Peter J. Gaskill and Kiyoshi Matsuyama. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature 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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