Tetsuya Kitamura

64 papers receiving 1.2k citations

Peers

Tetsuya Kitamura
Comparison fields: 5 of 108
  • Cardiology and Cardiovascular Medicine 203
  • Cancer Research 129
  • Periodontics 35
  • Cell Biology 123
  • Molecular Biology 447
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Hanxu Zhang China
Elise Lambert France
Yoshiyuki Tsukamoto Japan
Jim McBride United States
Itay Shafat Israel
Hiroyasu Inada Japan
Akihiro Katayama Japan
Yuning Lu United Kingdom
Yi He China
Yasuo Takashima Japan
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Citations per field
00.5×5×10×15×20×24.8×
Hanxu Zhang · 1×
Citations per year

Countries citing papers authored by Tetsuya Kitamura

Since Specialization
Citations

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

Fields of papers citing papers by Tetsuya Kitamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007141
2
Guidelines for Diagnosis and Treatment of Aortic Aneurysm and Aortic Dissection (JCS 2011) : Digest Version
2013135
3 2014132
4 200779
5 201073
6 201956
7 200054
8 200552
9 200847
10 201835
11 200632
12 201628
13 200525
14 200524
15 200423
16 202118
17 201718
18 200918
19 200917
20 201717

About Tetsuya Kitamura

Tetsuya Kitamura is a scholar working on Cardiology and Cardiovascular Medicine, Oral Surgery, Surgery, Molecular Biology and Rheumatology, having authored 74 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA Research and Splicing (10 papers), Oral and Maxillofacial Pathology (8 papers), RNA Interference and Gene Delivery (6 papers), Cardiac Structural Anomalies and Repair (6 papers), RNA modifications and cancer (5 papers), Bone Tumor Diagnosis and Treatments (5 papers), Virus-based gene therapy research (4 papers) and Tumors and Oncological Cases (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (203 citations), Cancer Research (129 citations), Periodontics (35 citations), Cell Biology (123 citations) and Molecular Biology (447 citations). Tetsuya Kitamura has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Masanobu Shindoh, Ryuji Higashikubo, Katsuya Onishi, Takeshi Nakano, Fumihiro Higashino, Nobuo Horikoshi, Yasunori Totsuka, Naoki Isaka, Tsutomu Okinaka and Kaoru Dohi. Their work appears in journals such as International Journal of Cardiology, Oncology Reports, Circulation Journal, Journal of Cardiovascular Pharmacology and Cancer Research.

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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