Koji Kitamura

141 papers receiving 2.3k citations

Peers

Koji Kitamura
Comparison fields: 5 of 167
  • Hepatology 392
  • Developmental Biology 42
  • Cancer Research 231
  • Cellular and Molecular Neuroscience 270
  • Oncology 231
Replace David Van Den Berg with:
David Van Den Berg United States
Takayuki Kuroda Japan
Taiichi Saito Japan
Takayuki Arai Japan
W. G. Wood United Kingdom
Lieven Thorrez Belgium
Lin Yang China
Takanori Takebe Japan
Cong Li China
Peng Xia China
Koji Kitamura relative to David Van Den Berg United States David Van Den Berg's profile →
Citations per field
00.5×10.6×
David Van Den Berg · 1×
Citations per year

Countries citing papers authored by Koji Kitamura

Since Specialization
Citations

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

Fields of papers citing papers by Koji Kitamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 170 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995292
2 2009286
3 2011118
4 199999
5 201197
6 200980
7 199879
8 199167
9 201958
10 197954
11 201148
12 200047
13 201147
14 200647
15 200939
16 201337
17 197535
18 201033
19 201032
20 198332

About Koji Kitamura

Koji Kitamura is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Molecular Biology, having authored 170 papers that have together received 2.4k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (15 papers), Head and Neck Cancer Studies (10 papers), Hepatocellular Carcinoma Treatment and Prognosis (7 papers), Human Pose and Action Recognition (7 papers), Semiconductor materials and devices (7 papers), Prostate Cancer Diagnosis and Treatment (6 papers), Injury Epidemiology and Prevention (5 papers) and Balance, Gait, and Falls Prevention (5 papers). The work is most often cited by research in Hepatology (392 citations), Developmental Biology (42 citations), Cancer Research (231 citations), Cellular and Molecular Neuroscience (270 citations) and Oncology (231 citations). Koji Kitamura has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Etsuro Hatano, Shinji Üemoto, Kojiro Taura, Masato Narita, Kentaro Yasuchika, Hiromichi Shoji, Naoto Minamino, Kenji Kangawa, S. Sugo and Hirofumi Matsuo. Their work appears in journals such as IEEE Journal of Solid-State Circuits, PLoS ONE, International Journal of Urology, The Journal of Biochemistry and INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY.

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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