Kei‐ichi Uchiya

1.4k total citations
50 papers, 1.1k citations indexed

About

Kei‐ichi Uchiya is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Kei‐ichi Uchiya has authored 50 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Epidemiology, 19 papers in Infectious Diseases and 16 papers in Molecular Biology. Recurrent topics in Kei‐ichi Uchiya's work include Mycobacterium research and diagnosis (16 papers), Tuberculosis Research and Epidemiology (14 papers) and Salmonella and Campylobacter epidemiology (9 papers). Kei‐ichi Uchiya is often cited by papers focused on Mycobacterium research and diagnosis (16 papers), Tuberculosis Research and Epidemiology (14 papers) and Salmonella and Campylobacter epidemiology (9 papers). Kei‐ichi Uchiya collaborates with scholars based in Japan, United States and Switzerland. Kei‐ichi Uchiya's co-authors include Toshiaki Nikai, Eduardo A. Groisman, Kouichi Funato, Philip D. Stahl, M. Alejandro Barbieri, Ankur H. Shah, Taku Nakagawa, Kenji Ogawa, Tetsuya Yagi and Takayuki Inagaki and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and PLoS ONE.

In The Last Decade

Kei‐ichi Uchiya

47 papers receiving 1.0k citations

Peers

Kei‐ichi Uchiya
Comparison fields: 5 of 81
  • Infectious Diseases 396
  • Endocrinology 327
  • Epidemiology 315
  • Molecular Biology 301
  • Food Science 281
Replace Takahito Toyotome with:
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Michele Trucksis United States
Christelle M. Roux United States
Veronica Novik United States
Jacek Bielecki Poland
Josely F. Figueiredo United States
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Juan E. Ugalde Argentina
Dominic C. Mills United Kingdom
Félix J. Sangari Spain
Takahito Toyotome Japan View profile →
Citations per field, relative to Kei‐ichi Uchiya
Kei‐ichi Uchiya · 1×
Citations per year, relative to Kei‐ichi Uchiya
Kei‐ichi Uchiya · 1×

Countries citing papers authored by Kei‐ichi Uchiya

Since Specialization
Citations

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

Fields of papers citing papers by Kei‐ichi Uchiya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kei‐ichi Uchiya

This figure shows the co-authorship network connecting the top 25 collaborators of Kei‐ichi Uchiya. A scholar is included among the top collaborators of Kei‐ichi Uchiya 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‐ichi Uchiya. Kei‐ichi Uchiya 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 2
2 2
3 1
4 1
5 1
6 2
7 33
8 22
9 7
10 2
11 41
12 4
13 30
14 9
15 15
16 277
17 2
18 1
19 1
20 1

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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