Akihiro Hattori

863 citations
54 papers · 648 indexed · h-index 15
Topics
3D Printing in Biomedical Research (18 papers)Microfluidic and Bio-sensing Technologies (17 papers)Microfluidic and Capillary Electrophoresis Applications (17 papers)

In The Last Decade

Akihiro Hattori

54 papers receiving 634 citations

Peers

Akihiro Hattori
Comparison fields: 5 of 93
  • Biomedical Engineering 364
  • Molecular Biology 158
  • Electrical and Electronic Engineering 101
  • Cellular and Molecular Neuroscience 86
  • Biochemistry 68
Replace Andrew Rubin with:
Andrew Rubin Russia
Oliver Holub Brazil
Argyrios Tsolakidis United States
Claire Abadie France
Satoshi Hoshina Japan
Martine Arrio‐Dupont France
A. I. Yusipovich Russia
Mariana P. Serrano Argentina
Clemens Hesch Austria
Richard A. Myers United States
Akihiro Hattori relative to Andrew Rubin Russia Andrew Rubin's profile →
Citations per field
00.5×4.5×
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Citations per year

Countries citing papers authored by Akihiro Hattori

Since Specialization
Citations

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

Fields of papers citing papers by Akihiro Hattori

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akihiro Hattori

This figure shows the co-authorship network connecting the top 25 collaborators of Akihiro Hattori. A scholar is included among the top collaborators of Akihiro Hattori 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 Akihiro Hattori. Akihiro Hattori 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 4
3 10
4 16
5 73
6 6
7 23
8
A Case of Bullous Pemphigoid Associated with Sitagliptin Treatment
1
9 4
10 7
11 10
12 16
13 7
14 12
15 74
16 47
17 7
18 19
19 8
20 25

About Akihiro Hattori

Akihiro Hattori is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience and Biophysics, having authored 54 papers that have together received 648 indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (18 papers), Microfluidic and Bio-sensing Technologies (17 papers) and Microfluidic and Capillary Electrophoresis Applications (17 papers). The work is most often cited by research in Biochemistry (68 citations), Biophysics (56 citations) and Biomedical Engineering (364 citations). Akihiro Hattori has collaborated with scholars based in Japan, France and United Kingdom. Frequent co-authors include Kenji Yasuda, Hideyuki Terazono, Tomoyuki Kaneko, Hyonchol Kim, Ikurou Suzuki, Fumimasa Nomura, Kazunori Takahashi, Takanori Ichiki, Kenji Matsuura and Hiroyuki Moriguchi. Their work appears in journals such as PLoS ONE, Analytical Biochemistry and Scientific Reports.

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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