Takashi Minowa

2.8k citations
73 papers · 2.2k indexed · h-index 23

Takashi Minowa

68 papers receiving 2.2k citations

Peers

Takashi Minowa
Comparison fields: 5 of 120
  • Cardiology and Cardiovascular Medicine 456
  • Endocrinology, Diabetes and Metabolism 271
  • Cancer Research 223
  • Surgery 615
  • Infectious Diseases 246
Replace Tatsuhiko Miyazaki with:
Tatsuhiko Miyazaki Japan
Hajime Kitamura Japan
Cheng Liu China
Michał Nowicki Poland
Sang Gyu Park South Korea
Amelia Casamassimi Italy
Peng Zhang China
Daniela Cipolletta United States
Nan Lü China
Takao Kimura Japan
Takashi Minowa relative to Tatsuhiko Miyazaki Japan Tatsuhiko Miyazaki's profile →
Citations per field
00.5×4.9×
Tatsuhiko Miyazaki · 1×
Citations per year

Countries citing papers authored by Takashi Minowa

Since Specialization
Citations

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

Fields of papers citing papers by Takashi Minowa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 202024
3 20180
4 20181
5 20188
6 201554
7 201539
8 201416
9 201340
10 201075
11 200945
12 2009418
13 2000426
14 200016
15 19981
16 199831
17 19987
18 19977
19 199264
20 199113

About Takashi Minowa

Takashi Minowa is a scholar working on Internal Medicine, Pulmonary and Respiratory Medicine, Oncology, Molecular Biology and Surgery, having authored 73 papers that have together received 2.2k indexed citations. Recurring topics across this work include Aortic Disease and Treatment Approaches (7 papers), Enzyme Structure and Function (5 papers), Receptor Mechanisms and Signaling (5 papers), Cardiac Structural Anomalies and Repair (4 papers), Cardiac Valve Diseases and Treatments (4 papers), Congenital Heart Disease Studies (4 papers), Metal complexes synthesis and properties (4 papers) and Shoulder Injury and Treatment (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (456 citations), Endocrinology, Diabetes and Metabolism (271 citations), Cancer Research (223 citations), Surgery (615 citations) and Infectious Diseases (246 citations). Takashi Minowa has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Nobutaka Hanagata, Taro Takemura, Kimiya Maeda, Korekiyo Wakitani, Hisashi Shinkai, Hiroshi Okamoto, M. Maral Mouradian, Fumihiko Yonemori, Mari T. Minowa and Satoshi Koike. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE, Science and Technology of Advanced Materials, Electrophoresis and Artificial Organs.

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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