Tetsuya Kitaguchi

3.5k citations
84 papers · 2.5k · h-index 28

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 11
    • Advanced Biosensing Techniques and Applications 9
    • Receptor Mechanisms and Signaling 8
    • Glycosylation and Glycoproteins Research 5
    • Monoclonal and Polyclonal Antibodies Research 16

Tetsuya Kitaguchi

83 papers receiving 2.4k citations

Peers

Tetsuya Kitaguchi
Comparison fields: 5 of 127
  • Sensory Systems 145
  • Biophysics 174
  • Physiology 124
  • Cellular and Molecular Neuroscience 454
  • Cell Biology 391
Replace Toru Matsuura with:
Toru Matsuura Japan
Robert Marsault France
Wenhong Li China
Lung‐Sen Kao Taiwan
Zhaozhu Qiu United States
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Anthony Persechini United States
Ulrich Schraermeyer Germany
Ling-Gang Wu United States
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Citations per field
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Citations per year

Countries citing papers authored by Tetsuya Kitaguchi

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuya Kitaguchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005262
2 2009179
3 2013163
4 2012134
5 2020118
6 2017115
7 201489
8 201887
9 201376
10 200463
11 200660
12 200559
13 200055
14 201954
15 201351
16 201145
17 200943
18 202041
19 200940
20 201638

About Tetsuya Kitaguchi

Tetsuya Kitaguchi is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Cell Biology, Surgery and Biomedical Engineering, having authored 84 papers that have together received 2.5k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (16 papers), Advanced biosensing and bioanalysis techniques (11 papers), Pancreatic function and diabetes (10 papers), Advanced Biosensing Techniques and Applications (9 papers), Receptor Mechanisms and Signaling (8 papers), Platelet Disorders and Treatments (7 papers), Adipose Tissue and Metabolism (7 papers) and Glycosylation and Glycoproteins Research (5 papers). The work is most often cited by research in Sensory Systems (145 citations), Biophysics (174 citations), Physiology (124 citations), Cellular and Molecular Neuroscience (454 citations) and Cell Biology (391 citations). Tetsuya Kitaguchi has collaborated with scholars based in Japan, United States and Singapore. Frequent co-authors include Takashi Tsuboi, Atsushi Miyawaki, Hiroshi Ueda, Shin‐ichi Higashijima, Tadahiro Iimura, Kenton J. Swartz, Kazuki Harada, Manami Oya, Jun Aruga and Satoshi Arai. Their work appears in journals such as Biochemical and Biophysical Research Communications, Scientific Reports, The Analyst, Journal of Biological Chemistry and ACS Sensors.

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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