Takahiro Uchida

4.0k total citations
187 papers, 3.3k citations indexed

About

Takahiro Uchida is a scholar working on Nutrition and Dietetics, Biomedical Engineering and Sensory Systems. According to data from OpenAlex, Takahiro Uchida has authored 187 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Nutrition and Dietetics, 60 papers in Biomedical Engineering and 48 papers in Sensory Systems. Recurrent topics in Takahiro Uchida's work include Biochemical Analysis and Sensing Techniques (67 papers), Advanced Chemical Sensor Technologies (56 papers) and Olfactory and Sensory Function Studies (48 papers). Takahiro Uchida is often cited by papers focused on Biochemical Analysis and Sensing Techniques (67 papers), Advanced Chemical Sensor Technologies (56 papers) and Olfactory and Sensory Function Studies (48 papers). Takahiro Uchida collaborates with scholars based in Japan, United States and China. Takahiro Uchida's co-authors include Phillips W. Robbins, Miyako Yoshida, Charles R. Filburn, Yohko Miyanaga, Shigeru Goto, Tamami Haraguchi, Kenji Matsuyama, Eriko Tsuji, Hidekazu Ikezaki and Mai Hazekawa and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Takahiro Uchida

179 papers receiving 3.1k citations

Peers

Takahiro Uchida
Comparison fields: 5 of 144
  • Nutrition and Dietetics 1.1k
  • Biomedical Engineering 991
  • Molecular Biology 750
  • Pharmaceutical Science 587
  • Sensory Systems 574
Replace David J. Brayden with:
David J. Brayden Ireland
Luisa Di Marzio Italy
Tohru Mizushima Japan
Yasmin Sultana India
Sophia G. Antimisiaris Greece
Akira Yamamoto Japan
Salman Khan Pakistan
Renaat Kinget Belgium
S.S. Davis United Kingdom
Lenard M. Lichtenberger United States
David J. Brayden Ireland View profile →
Citations per field, relative to Takahiro Uchida
Takahiro Uchida · 1×
Citations per year, relative to Takahiro Uchida
Takahiro Uchida · 1×

Countries citing papers authored by Takahiro Uchida

Since Specialization
Citations

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

Fields of papers citing papers by Takahiro Uchida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takahiro Uchida

This figure shows the co-authorship network connecting the top 25 collaborators of Takahiro Uchida. A scholar is included among the top collaborators of Takahiro Uchida 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 Takahiro Uchida. Takahiro Uchida 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
# Work Indexed citations
1 0
2 3
3 9
4 4
5 4
6 9
7 12
8 43
9 14
10 8
11 6
12 3
13 3
14 0
15 11
16 4
17 1
18
Mono clonal antibodies against diphtheria toxin and analysis of diphtheria toxin using them
0
19 8
20 2

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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