Takuya Koizumi

1.2k citations
80 papers · 859 indexed · h-index 16
Topics
Reconstructive Surgery and Microvascular Techniques (9 papers)Speech Recognition and Synthesis (7 papers)Reconstructive Facial Surgery Techniques (6 papers)

In The Last Decade

Takuya Koizumi

70 papers receiving 827 citations

Peers

Takuya Koizumi
Comparison fields: 5 of 109
  • Surgery 199
  • Materials Chemistry 146
  • Mechanical Engineering 108
  • Endocrinology, Diabetes and Metabolism 102
  • Biomedical Engineering 100
Replace Masaki Sekine with:
Masaki Sekine Japan
Narender P. Reddy United States
Yo Kobayashi Japan
Do Hyun Kim South Korea
José Carlos Pereira Brazil
Hiroshi Noguchi Japan
Miki Sato Japan
John Klaessens Netherlands
Sadao Omata Japan
David Budgett New Zealand
Takuya Koizumi relative to Masaki Sekine Japan Masaki Sekine's profile →
Citations per field
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Masaki Sekine · 1×
Citations per year

Countries citing papers authored by Takuya Koizumi

Since Specialization
Citations

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

Fields of papers citing papers by Takuya Koizumi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuya Koizumi

This figure shows the co-authorship network connecting the top 25 collaborators of Takuya Koizumi. A scholar is included among the top collaborators of Takuya Koizumi 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 Takuya Koizumi. Takuya Koizumi 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 0
2 0
3 3
4 4
5 24
6 37
7 0
8 2
9 0
10 43
11 19
12 1
13
1
14 2
15 0
16 3
17 3
18 62
19
General Statistical Treatment of Response of Nonlinear Rectifying Device to Stationary Random Input
7
20
Cirrhosis of the liver in Japan.
2

About Takuya Koizumi

Takuya Koizumi is a scholar working on Hepatology, Cardiology and Cardiovascular Medicine and Surgery, having authored 80 papers that have together received 859 indexed citations. Recurring topics across this work include Reconstructive Surgery and Microvascular Techniques (9 papers), Speech Recognition and Synthesis (7 papers) and Reconstructive Facial Surgery Techniques (6 papers). The work is most often cited by research in Pharmacy (31 citations), Endocrinology, Diabetes and Metabolism (102 citations) and Gastroenterology (33 citations). Takuya Koizumi has collaborated with scholars based in Japan, Ukraine and United States. Frequent co-authors include Takeshi Saito, Mitsuhiro Ito, Masakazu Nakamura, Hirotaka Kojima, Zen Itoh, Takeshi Tomomasa, Takayoshi Kuroume, Yuzo Komuro, Svyatoslav Gnyloskurenko and Takashi Nakamura. Their work appears in journals such as Journal of Clinical Oncology, PEDIATRICS 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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