Takuya Kitamura

783 total citations
26 papers, 600 citations indexed

About

Takuya Kitamura is a scholar working on Molecular Biology, Cell Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Takuya Kitamura has authored 26 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Cell Biology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Takuya Kitamura's work include Lipid metabolism and biosynthesis (5 papers), Skin and Cellular Biology Research (4 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). Takuya Kitamura is often cited by papers focused on Lipid metabolism and biosynthesis (5 papers), Skin and Cellular Biology Research (4 papers) and Endoplasmic Reticulum Stress and Disease (4 papers). Takuya Kitamura collaborates with scholars based in Japan and United States. Takuya Kitamura's co-authors include Akio Kihara, Tatsuro Naganuma, Yusuke Ohno, Raphael A. Zoeller, Shinichi Saito, Hyuma Masu, Isao Azumaya, Ryu Yamasaki, Takashi Obara and Takayuki Sassa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Takuya Kitamura

22 papers receiving 596 citations

Peers

Takuya Kitamura
Comparison fields: 5 of 89
  • Molecular Biology 330
  • Organic Chemistry 136
  • Cell Biology 129
  • Biochemistry 84
  • Physiology 74
Ayano Fukuhara Japan
Yurika Miyake Japan
Anu Chaudhary United States
Evelyne Steenvoorden Netherlands
Anja Schütz Germany
Daniel Stafford United States
Yuko Kawasaki Japan
F. Steckel Germany
R. J. S. Duncan United Kingdom
Meritxell Egido‐Gabás Spain
Ayano Fukuhara Japan View profile →
Citations per field, relative to Takuya Kitamura
Takuya Kitamura · 1×
Citations per year, relative to Takuya Kitamura
Takuya Kitamura · 1×

Countries citing papers authored by Takuya Kitamura

Since Specialization
Citations

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

Fields of papers citing papers by Takuya Kitamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuya Kitamura

This figure shows the co-authorship network connecting the top 25 collaborators of Takuya Kitamura. A scholar is included among the top collaborators of Takuya Kitamura 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 Kitamura. Takuya Kitamura 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
# Work Indexed citations
1 0
2 0
3 1
4 1
5 1
6 0
7 4
8 3
9 4
10 8
11 23
12 9
13 26
14 82
15 54
16 29
17 39
18
The impulsive noise reduction using it's replica signal under Class-A impulsive channel
9
19 132
20 71

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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