Junji Chida

1.3k total citations
42 papers, 1.0k citations indexed

About

Junji Chida is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Junji Chida has authored 42 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 12 papers in Infectious Diseases and 12 papers in Epidemiology. Recurrent topics in Junji Chida's work include Prion Diseases and Protein Misfolding (14 papers), Infectious Encephalopathies and Encephalitis (12 papers) and Influenza Virus Research Studies (11 papers). Junji Chida is often cited by papers focused on Prion Diseases and Protein Misfolding (14 papers), Infectious Encephalopathies and Encephalitis (12 papers) and Influenza Virus Research Studies (11 papers). Junji Chida collaborates with scholars based in Japan, China and United States. Junji Chida's co-authors include Hiroshi Kido, Siye Wang, Mihiro Yano, Trong Quang Le, Youssouf Cissé, Etsuhisa Takahashi, Dengbing Yao, Haiyan Pan, Kazuhiko Yamane and Yasuo Maeda and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Journal of Virology.

In The Last Decade

Junji Chida

42 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junji Chida Japan 19 418 394 256 229 91 42 1.0k
Alex Birk United States 8 132 0.3× 614 1.6× 144 0.6× 215 0.9× 115 1.3× 12 1.2k
Seungwha Paik South Korea 13 320 0.8× 672 1.7× 307 1.2× 331 1.4× 32 0.4× 22 1.2k
Mireille Laforge France 19 488 1.2× 604 1.5× 306 1.2× 466 2.0× 24 0.3× 34 1.8k
Noboru Tsuchimori Japan 14 214 0.5× 290 0.7× 196 0.8× 342 1.5× 26 0.3× 24 985
Makoto Matsukura Japan 22 304 0.7× 1.1k 2.7× 518 2.0× 226 1.0× 94 1.0× 78 2.2k
Ana Acácia S. Pinheiro Brazil 21 156 0.4× 333 0.8× 130 0.5× 235 1.0× 119 1.3× 64 1.1k
Katherine B. Hisert United States 14 541 1.3× 429 1.1× 158 0.6× 372 1.6× 81 0.9× 23 1.3k
Katarzyna Kołodziejska Poland 10 518 1.2× 376 1.0× 83 0.3× 334 1.5× 23 0.3× 20 1.0k
Resmi Ravindran United States 16 309 0.7× 320 0.8× 316 1.2× 268 1.2× 23 0.3× 35 945

Countries citing papers authored by Junji Chida

Since Specialization
Citations

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

Fields of papers citing papers by Junji Chida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junji Chida

This figure shows the co-authorship network connecting the top 25 collaborators of Junji Chida. A scholar is included among the top collaborators of Junji Chida 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 Junji Chida. Junji Chida 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
1.
Hara, Hideyuki, Hironori Miyata, Junji Chida, & Suehiro Sakaguchi. (2023). Strain‐dependent role of copper in prion disease through binding to histidine residues in the N‐terminal domain of prion protein. Journal of Neurochemistry. 167(3). 394–409. 1 indexed citations
2.
Miyata, Hironori, Junji Chida, Hideyuki Hara, et al.. (2022). Central residues in prion protein PrPC are crucial for its conversion into the pathogenic isoform. Journal of Biological Chemistry. 298(9). 102381–102381. 1 indexed citations
3.
Ishida, Akihiko, Junji Chida, Hiroshi Kido, et al.. (2021). Electrochemical enzyme-based blood ATP and lactate sensor for a rapid and straightforward evaluation of illness severity. Biosensors and Bioelectronics. 198. 113832–113832. 24 indexed citations
4.
Uchiyama, Keiji, Hideyuki Hara, Junji Chida, et al.. (2021). Ethanolamine Is a New Anti-Prion Compound. International Journal of Molecular Sciences. 22(21). 11742–11742. 6 indexed citations
5.
Miyata, Hironori, Hideyuki Hara, Junji Chida, et al.. (2019). The N-Terminal Polybasic Region of Prion Protein Is Crucial in Prion Pathogenesis Independently of the Octapeptide Repeat Region. Molecular Neurobiology. 57(2). 1203–1216. 10 indexed citations
6.
Sakaguchi, Suehiro & Junji Chida. (2018). Roles of Prion Protein in Virus Infections. DNA and Cell Biology. 37(10). 808–811. 6 indexed citations
7.
Chida, Junji, Hideyuki Hara, Masashi Yano, et al.. (2018). Prion protein protects mice from lethal infection with influenza A viruses. PLoS Pathogens. 14(5). e1007049–e1007049. 26 indexed citations
8.
Miyata, Hironori, Hideyuki Hara, Keiji Uchiyama, et al.. (2017). Effects of prion protein devoid of the N-terminal residues 25-50 on prion pathogenesis in mice. Archives of Virology. 162(7). 1867–1876. 4 indexed citations
9.
Uchiyama, Keiji, Masashi Yano, Junji Chida, et al.. (2017). Prions amplify through degradation of the VPS10P sorting receptor sortilin. PLoS Pathogens. 13(6). e1006470–e1006470. 25 indexed citations
10.
11.
Chida, Junji & Hiroshi Kido. (2013). Extraction and Quantification of Adenosine Triphosphate in Mammalian Tissues and Cells. Methods in molecular biology. 1098. 21–32. 19 indexed citations
12.
Chida, Junji, Rie Ono, Kazuhiko Yamane, et al.. (2013). Blood Lactate/ATP Ratio, as an Alarm Index and Real-Time Biomarker in Critical Illness. PLoS ONE. 8(4). e60561–e60561. 15 indexed citations
13.
Kubota, Masaya, Junji Chida, Hideki Hoshino, et al.. (2011). Thermolabile CPT II variants and low blood ATP levels are closely related to severity of acute encephalopathy in Japanese children. Brain and Development. 34(1). 20–27. 40 indexed citations
14.
Takahashi, Etsuhisa, Kosuke Kataoka, Kazuyuki Fujii, et al.. (2010). Attenuation of inducible respiratory immune responses by oseltamivir treatment in mice infected with influenza A virus. Microbes and Infection. 12(10). 778–783. 36 indexed citations
15.
Wang, Siye, Trong Quang Le, Naoki Kurihara, et al.. (2010). Influenza Virus–Cytokine‐Protease Cycle in the Pathogenesis of Vascular Hyperpermeability in Severe Influenza. The Journal of Infectious Diseases. 202(7). 991–1001. 158 indexed citations
16.
Pan, Haiyan, Hirotsugu Yamada, Junji Chida, et al.. (2010). Up-regulation of ectopic trypsins in the myocardium by influenza A virus infection triggers acute myocarditis. Cardiovascular Research. 89(3). 595–603. 59 indexed citations
17.
Suzuki, Satoshi, Kazuhiro Iwase, Chika Ito, et al.. (2009). Boost of mucosal secretory immunoglobulin A response by clarithromycin in paediatric influenza. Respirology. 14(8). 1173–1179. 30 indexed citations
18.
Chida, Junji, Aiko Amagai, Masashi Tanaka, & Yasuo Maeda. (2008). Establishment of a new method for precisely determining the functions of individual mitochondrial genes, using Dictyostelium cells. BMC Genetics. 9(1). 25–25. 11 indexed citations
19.
20.
Amagai, Aiko, et al.. (2003). Unique Behavior and Function of the Mitochondrial Ribosomal Protein S4 (RPS4) in Early Dictyostelium Development. ZOOLOGICAL SCIENCE. 20(12). 1455–1465. 9 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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