Koji Edamura

636 total citations
12 papers, 480 citations indexed

About

Koji Edamura is a scholar working on Molecular Biology, Immunology and Animal Science and Zoology. According to data from OpenAlex, Koji Edamura has authored 12 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Immunology and 2 papers in Animal Science and Zoology. Recurrent topics in Koji Edamura's work include Mast cells and histamine (4 papers), CRISPR and Genetic Engineering (2 papers) and Animal Nutrition and Physiology (2 papers). Koji Edamura is often cited by papers focused on Mast cells and histamine (4 papers), CRISPR and Genetic Engineering (2 papers) and Animal Nutrition and Physiology (2 papers). Koji Edamura collaborates with scholars based in Japan and United States. Koji Edamura's co-authors include Masato Noguchi, H. Ogasawara, Masahiro Furuno, H. IWAMURA, Takayuki Naito, Hideo D. Takagi, Kazuhiko Tatemoto, Ryoko Tsuda, Hitoshi Sasai and Kiyotaka Akiyama and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Leukocyte Biology and Genomics.

In The Last Decade

Koji Edamura

11 papers receiving 473 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Koji Edamura Japan 9 307 169 163 123 112 12 480
T Zak-Nejmark Poland 5 378 1.2× 214 1.3× 113 0.7× 204 1.7× 45 0.4× 20 555
Jangsuk Oh United States 8 142 0.5× 56 0.3× 198 1.2× 49 0.4× 15 0.1× 11 675
T Sarr United States 8 192 0.6× 28 0.2× 139 0.9× 51 0.4× 54 0.5× 8 431
Takehiro Higashi Japan 12 280 0.9× 73 0.4× 113 0.7× 24 0.2× 41 0.4× 25 540
D L Weiss United States 8 180 0.6× 78 0.5× 165 1.0× 35 0.3× 16 0.1× 8 341
Ian Ashmole United Kingdom 15 114 0.4× 57 0.3× 325 2.0× 31 0.3× 16 0.1× 20 583
Bailin Tu United States 8 157 0.5× 22 0.1× 239 1.5× 24 0.2× 9 0.1× 14 562
Qian Shen China 6 307 1.0× 100 0.6× 126 0.8× 11 0.1× 28 0.3× 11 548
Qianyi Yang United States 8 32 0.1× 46 0.3× 96 0.6× 19 0.2× 21 0.2× 18 227

Countries citing papers authored by Koji Edamura

Since Specialization
Citations

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

Fields of papers citing papers by Koji Edamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koji Edamura

This figure shows the co-authorship network connecting the top 25 collaborators of Koji Edamura. A scholar is included among the top collaborators of Koji Edamura 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 Koji Edamura. Koji Edamura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
2.
Ogasawara, H., Masahiro Furuno, Koji Edamura, & Masato Noguchi. (2019). Peptides of major basic protein and eosinophil cationic protein activate human mast cells. Biochemistry and Biophysics Reports. 21. 100719–100719. 29 indexed citations
3.
Ogasawara, H., Masahiro Furuno, Koji Edamura, & Masato Noguchi. (2019). Novel MRGPRX2 antagonists inhibit IgE-independent activation of human umbilical cord blood-derived mast cells. Journal of Leukocyte Biology. 106(5). 1069–1077. 50 indexed citations
4.
Tatemoto, Kazuhiko, Ryoko Tsuda, Satoshi Kaneko, et al.. (2018). Endogenous protein and enzyme fragments induce immunoglobulin E‐independent activation of mast cells via a G protein‐coupled receptor, MRGPRX 2. Scandinavian Journal of Immunology. 87(5). e12655–e12655. 14 indexed citations
5.
Tatemoto, Kazuhiko, Ryoko Tsuda, Masahiro Furuno, et al.. (2006). Immunoglobulin E-independent activation of mast cell is mediated by Mrg receptors. Biochemical and Biophysical Research Communications. 349(4). 1322–1328. 296 indexed citations
6.
Kushi, Atsuko, Kiyotaka Akiyama, Masato Noguchi, et al.. (2004). Disruption of the Murine .ALPHA.1-Antitrypsin/PI2 Gene. EXPERIMENTAL ANIMALS. 53(5). 437–443. 9 indexed citations
7.
Edamura, Koji & H Sasai. (1998). No Self-Injurious Behavior Was Found in HPRT-Deficient Mice Treated With 9-Ethyladenine. Pharmacology Biochemistry and Behavior. 61(2). 175–179. 7 indexed citations
9.
Tsuda, Hirohisa, Laura Reid, Takayuki Yoshida, et al.. (1997). Inactivation of the MouseHPRTLocus by a 203-bp Retroposon Insertion and a 55-kb Gene-Targeted Deletion: Establishment of New HPRT-Deficient Mouse Embryonic Stem Cell Lines. Genomics. 42(3). 413–421. 19 indexed citations
10.
Nakai, Yutaka, et al.. (1994). Susceptibility to Eimeria tenella of chickens and chicken embryos of partly inbred lines possessing homozygous major histocompatibility complex haplotypes.. PubMed. 37(4). 1113–6. 10 indexed citations
12.
Edamura, Koji, et al.. (1993). Endotoxin Production in Rumen Bacteria. Nihon Chikusan Gakkaiho. 64(10). 1001–1004. 1 indexed citations

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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