Kei Amemiya

2.7k citations
52 papers · 2.2k indexed · 1 hit paper · h-index 23
Topics
Burkholderia infections and melioidosis (19 papers)Yersinia bacterium, plague, ectoparasites research (9 papers)Polyomavirus and related diseases (7 papers)

In The Last Decade

Kei Amemiya

52 papers receiving 2.1k citations

Hit Papers

Pathogenesis and molecular biology of progressive multifo...19922026200320141992100200300400

Peers

Kei Amemiya
Comparison fields: 5 of 101
  • Oncology 815
  • Epidemiology 576
  • Molecular Biology 529
  • Electrical and Electronic Engineering 510
  • Immunology 334
Replace Aron E. Lukacher with:
Aron E. Lukacher United States
Linda Cook United States
Chie Sugimoto Japan
Walter J. Atwood United States
Chen Sabrina Tan United States
Leonard C. Norkin United States
Eva Szomolanyi‐Tsuda United States
Patricia Berthon France
Hans Nitschko Germany
Philippe V. Afonso France
Kei Amemiya relative to Aron E. Lukacher United States Aron E. Lukacher's profile →
Citations per field
00.5×2.5×
Aron E. Lukacher · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 5
2 6
3 10
4 26
5 12
6 12
7 17
8 23
9 45
10 10
11 13
12 30
13 27
14 20
15 47
16 97
17 83
18 97
19 83
20 7

About Kei Amemiya

Kei Amemiya is a scholar working on Parasitology, Pharmacology and Epidemiology, having authored 52 papers that have together received 2.2k indexed citations. Recurring topics across this work include Burkholderia infections and melioidosis (19 papers), Yersinia bacterium, plague, ectoparasites research (9 papers) and Polyomavirus and related diseases (7 papers). The work is most often cited by research in Virology (238 citations), Oncology (815 citations) and Parasitology (116 citations). Kei Amemiya has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Eugene O. Major, Sidney A. Houff, Joseph R. Berger, Carlo Tornatore, Renee G. Traub, Avindra Nath, Carlo Tornatore, David M. Waag, David DeShazer and K Wood. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

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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