Tetsuya Kitamura

53 papers receiving 963 citations

Peers

Tetsuya Kitamura
Comparison fields: 5 of 108
  • Cancer Research 136
  • Periodontics 37
  • Cell Biology 120
  • Cardiology and Cardiovascular Medicine 161
  • Molecular Biology 460
Replace Nicolas Gadot with:
Nicolas Gadot France
Hanxu Zhang China
Arivusudar Marimuthu United States
Wenjing Sun China
Maximilian Linxweiler Germany
Prathibha Ranganathan India
Itay Shafat Israel
Fengrong Zuo United States
Lynn Vitale‐Cross United States
Tetsuya Kitamura relative to Nicolas Gadot France Nicolas Gadot's profile →
Citations per field
00.5×4.6×
Nicolas Gadot · 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 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007130
2 2014121
3 200777
4 201071
5 200050
6 201948
7 200842
8 200539
9 201833
10 200627
11 201626
12 200524
13 200524
14 200422
15 200918
16 200917
17 201716
18 201716
19 202115
20 200614

About Tetsuya Kitamura

Tetsuya Kitamura is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Oncology and Oral Surgery, having authored 63 papers that have together received 977 indexed citations. Recurring topics across this work include RNA Research and Splicing (10 papers), Oral and Maxillofacial Pathology (7 papers), RNA modifications and cancer (5 papers), RNA Interference and Gene Delivery (5 papers), Cardiac Structural Anomalies and Repair (4 papers), Bone Tumor Diagnosis and Treatments (4 papers), Tumors and Oncological Cases (4 papers) and Heart Rate Variability and Autonomic Control (3 papers). The work is most often cited by research in Cancer Research (136 citations), Periodontics (37 citations), Cell Biology (120 citations), Cardiology and Cardiovascular Medicine (161 citations) and Molecular Biology (460 citations). Tetsuya Kitamura has collaborated with scholars based in Japan, United States and Taiwan. Frequent co-authors include Masanobu Shindoh, Ryuji Higashikubo, Katsuya Onishi, Takeshi Nakano, Fumihiro Higashino, Yasunori Totsuka, Nobuo Horikoshi, Naoki Isaka, Tsutomu Okinaka and Kaoru Dohi. Their work appears in journals such as Oncology Reports, Journal of Cardiovascular Pharmacology, Cancer Research, International Journal of Cardiology and Circulation Journal.

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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