Kei Amemiya

2.7k total citations · 1 hit paper
52 papers, 2.2k citations indexed

About

Kei Amemiya is a scholar working on Epidemiology, Genetics and Molecular Biology. According to data from OpenAlex, Kei Amemiya has authored 52 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Epidemiology, 15 papers in Genetics and 13 papers in Molecular Biology. Recurrent topics in Kei Amemiya's work include Burkholderia infections and melioidosis (19 papers), Yersinia bacterium, plague, ectoparasites research (9 papers) and Polyomavirus and related diseases (7 papers). Kei Amemiya is often cited by papers focused on Burkholderia infections and melioidosis (19 papers), Yersinia bacterium, plague, ectoparasites research (9 papers) and Polyomavirus and related diseases (7 papers). Kei Amemiya collaborates with scholars based in United States, Germany and Japan. Kei Amemiya's co-authors include Eugene O. Major, Sidney A. Houff, Carlo Tornatore, Joseph R. Berger, Renee G. Traub, Carlo Tornatore, Avindra Nath, David M. Waag, Bret A. Hassel and Richard J. Youle and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Kei Amemiya

52 papers receiving 2.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Pathogenesis and molecular biology of progressive multifocal leukoencephalopathy, the JC virus-induced demyelinating disease of the human brain

1992 448 citations Eugene O. Major, Kei Amemiya et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kei Amemiya United States	23	815	576	529	510	334	52	2.2k
Melissa S. Maginnis United States	22	655 0.8×	343 0.6×	454 0.9×	390 0.8×	193 0.6×	42	1.8k
Leonard C. Norkin United States	22	636 0.8×	252 0.4×	794 1.5×	165 0.3×	242 0.7×	44	1.9k
Chie Sugimoto Japan	32	1.6k 2.0×	472 0.8×	238 0.4×	961 1.9×	717 2.1×	87	3.1k
Linda Cook United States	26	827 1.0×	919 1.6×	400 0.8×	204 0.4×	314 0.9×	59	2.6k
Aron E. Lukacher United States	30	939 1.2×	748 1.3×	541 1.0×	201 0.4×	2.4k 7.1×	88	3.5k
Chen Sabrina Tan United States	18	953 1.2×	224 0.4×	94 0.2×	673 1.3×	120 0.4×	45	1.5k
Paul G. Cantalupo United States	20	589 0.7×	162 0.3×	460 0.9×	170 0.3×	130 0.4×	37	1.3k
Walter J. Atwood United States	46	4.0k 4.9×	758 1.3×	1.2k 2.3×	2.3k 4.5×	452 1.4×	112	6.0k
Peter Wimmer Germany	18	283 0.3×	225 0.4×	610 1.2×	64 0.1×	321 1.0×	47	1.1k
Patricia Berthon France	23	302 0.4×	123 0.2×	842 1.6×	161 0.3×	151 0.5×	59	1.7k

Countries citing papers authored by Kei Amemiya

Since Specialization

Citations

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

Fields of papers citing papers by Kei Amemiya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kei Amemiya

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Amemiya, Kei, David A. Rozak, C. Marchand, et al.. (2023). Shiga-Toxin-Producing Strains of Escherichia coli O104:H4 and a Strain of O157:H7, Which Can Cause Human Hemolytic Uremic Syndrome, Differ in Biofilm Formation in the Presence of CO2 and in Their Ability to Grow in a Novel Cell Culture Medium. Microorganisms. 11(7). 1744–1744. 5 indexed citations

Waag, David M., Taylor Chance, Franco Rossi, et al.. (2021). Comparison of three non-human primate aerosol models for glanders, caused by Burkholderia mallei. Microbial Pathogenesis. 155. 104919–104919. 6 indexed citations

Fetterer, David P., Christopher P. Klimko, Jo Lynne Raymond, et al.. (2021). Comparative virulence of three different strains of Burkholderia pseudomallei in an aerosol non-human primate model. PLoS neglected tropical diseases. 15(2). e0009125–e0009125. 10 indexed citations

Amemiya, Kei, Jeremy J. Bearss, Xiankun Zeng, et al.. (2020). Dysregulation of TNF-α and IFN-γ expression is a common host immune response in a chronically infected mouse model of melioidosis when comparing multiple human strains of Burkholderia pseudomallei. BMC Immunology. 21(1). 5–5. 9 indexed citations

Bearss, Jeremy J., Christopher P. Klimko, Jennifer L. Shoe, et al.. (2017). Characterization of pathogenesis of and immune response to Burkholderia pseudomallei K96243 using both inhalational and intraperitoneal infection models in BALB/c and C57BL/6 mice. PLoS ONE. 12(2). e0172627–e0172627. 26 indexed citations

Cote, Christopher K., Kei Amemiya, David M. Waag, et al.. (2016). Characterization of in vitro phenotypes of Burkholderia pseudomallei and Burkholderia mallei strains potentially associated with persistent infection in mice. Archives of Microbiology. 199(2). 277–301. 12 indexed citations

Bozue, Joel A., Sidhartha Chaudhury, Kei Amemiya, et al.. (2016). Phenotypic Characterization of a Novel Virulence-Factor Deletion Strain of Burkholderia mallei That Provides Partial Protection against Inhalational Glanders in Mice. Frontiers in Cellular and Infection Microbiology. 6. 21–21. 12 indexed citations

Choi, Soo Jeon, Annа K. Snyder, Rita V. M. Rio, et al.. (2015). A Unique Set of the Burkholderia Collagen-Like Proteins Provides Insight into Pathogenesis, Genome Evolution and Niche Adaptation, and Infection Detection. PLoS ONE. 10(9). e0137578–e0137578. 23 indexed citations

Welkos, Susan L., Christopher P. Klimko, Steven J. Kern, et al.. (2015). Characterization of Burkholderia pseudomallei Strains Using a Murine Intraperitoneal Infection Model and In Vitro Macrophage Assays. PLoS ONE. 10(4). e0124667–e0124667. 45 indexed citations

10.

Xiao, Xiaodong, Zhongyu Zhu, Randy Fast, et al.. (2010). Human Anti-Plague Monoclonal Antibodies Protect Mice from Yersinia pestis in a Bubonic Plague Model. PLoS ONE. 5(10). e13047–e13047. 30 indexed citations

11.

Ulrich, Ricky L., Kei Amemiya, David M. Waag, Chad J. Roy, & David DeShazer. (2004). Aerogenic vaccination with a Burkholderia mallei auxotroph protects against aerosol-initiated glanders in mice. Vaccine. 23(16). 1986–1992. 47 indexed citations

12.

Amemiya, Kei, et al.. (2000). Downregulation of TGF-β1 mRNA and Protein in the Muscles of Patients with Inflammatory Myopathies after Treatment with High-Dose Intravenous Immunoglobulin. Clinical Immunology. 94(2). 99–104. 97 indexed citations

13.

Sumner, Charlotte J., et al.. (1996). Expression of multiple classes of the Nuclear Factor-1 family in the developing human brain: Differential expression of two classes of NF-1 genes. Journal of NeuroVirology. 2(2). 87–100. 45 indexed citations

14.

Atwood, Walter J., et al.. (1995). Evaluation of the role of cytokine activation in the multiplication of JC virus (JCV) in human fetal glial cells. Journal of NeuroVirology. 1(1). 40–49. 38 indexed citations

15.

Atwood, Walter J., et al.. (1992). Interaction of the human polyomavirus, JCV, with human B-lymphocytes. Virology. 190(2). 716–723. 97 indexed citations

16.

Amemiya, Kei, et al.. (1992). Adjacent nuclear factor-1 and activator protein binding sites in the enhancer of the neurotropic JC virus. A common characteristic of many brain-specific genes.. Journal of Biological Chemistry. 267(20). 14204–14211. 86 indexed citations

17.

Major, Eugene O., Kei Amemiya, Gregory A. Elder, & Sidney A. Houff. (1990). Glial cells of the human developing brain and B cells of the immune system share a common DNA binding factor for recognition of the regulatory sequences of the human polyomavirus, JCV. Journal of Neuroscience Research. 27(4). 461–471. 83 indexed citations

18.

Amemiya, Kei. (1989). Conserved sequence elements upstream and downstream from the transcription initiation site of the Caulobacter crescentus rrnA gene cluster. Journal of Molecular Biology. 210(2). 245–254. 7 indexed citations

19.

Hodgson, David A., Lucille Shapiro, & Kei Amemiya. (1985). Phosphorylation of the β′ Subunit of RNA Polymerase and Other Host Proteins upon φCd1 Infection of Caulobacter crescentus. Journal of Virology. 55(1). 238–241. 10 indexed citations

20.

Amemiya, Kei, Bilha Raboy, & Lucille Shapiro. (1980). Involvement of the host RNA polymerase in the early transcription program of Caulobacter crescentus bacteriophage θCdl DNA. Virology. 104(1). 109–116. 16 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.

Explore authors with similar magnitude of impact