Yukie Katayama

3.3k citations
80 papers · 1.5k indexed · h-index 18
Topics
Viral gastroenteritis research and epidemiology (26 papers)Animal Virus Infections Studies (23 papers)Viral Infections and Immunology Research (15 papers)

In The Last Decade

Yukie Katayama

78 papers receiving 1.5k citations

Peers

Yukie Katayama
Comparison fields: 5 of 101
  • Molecular Biology 677
  • Infectious Diseases 389
  • Animal Science and Zoology 249
  • Cellular and Molecular Neuroscience 235
  • Epidemiology 194
Replace Matthew D. Daugherty with:
Matthew D. Daugherty United States
Bogusław Szewczyk Poland
Kyung H. Choi United States
Fei Gao China
Yasunobu Matsumoto Japan
W.M.M. Schaaper Netherlands
Tomoaki Ogino United States
Ivan Dimitrov Bulgaria
Patricia Gil France
Rushika Perera United States
Yukie Katayama relative to Matthew D. Daugherty United States Matthew D. Daugherty's profile →
Citations per field
00.5×10.7×
Matthew D. Daugherty · 1×
Citations per year

Countries citing papers authored by Yukie Katayama

Since Specialization
Citations

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

Fields of papers citing papers by Yukie Katayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yukie Katayama

This figure shows the co-authorship network connecting the top 25 collaborators of Yukie Katayama. A scholar is included among the top collaborators of Yukie Katayama 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 Yukie Katayama. Yukie Katayama 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 16
2 0
3 4
4 67
5 1
6 4
7 10
8 12
9 1
10 8
11 8
12 7
13 6
14 15
15 11
16 4
17 2
18 25
19 59
20 1

About Yukie Katayama

Yukie Katayama is a scholar working on Animal Science and Zoology, Infectious Diseases and Microbiology, having authored 80 papers that have together received 1.5k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (26 papers), Animal Virus Infections Studies (23 papers) and Viral Infections and Immunology Research (15 papers). The work is most often cited by research in Animal Science and Zoology (249 citations), Infectious Diseases (389 citations) and Endocrinology (95 citations). Yukie Katayama has collaborated with scholars based in Japan, United States and Vietnam. Frequent co-authors include Tetsuya Mizutani, Tomitake Tsukihara, Tsutomu Omatsu, Kunitoshi Shimokata, Shinya Yoshikawa, Hideo Shimada, Hiroshi Aoyama, Kazumasa Muramoto, Kyoko Shinzawa‐Itoh and Masao Mochizuki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and PLoS ONE.

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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