Keiko Kawamoto

3.7k citations
89 papers · 3.1k indexed · h-index 31
Topics
Salmonella and Campylobacter epidemiology (16 papers)Listeria monocytogenes in Food Safety (10 papers)Vibrio bacteria research studies (8 papers)
Partner nations
JapanUnited StatesRwanda

In The Last Decade

Keiko Kawamoto

89 papers receiving 3.0k citations

Peers

Keiko Kawamoto
Comparison fields: 5 of 141
  • Molecular Biology 1.2k
  • Food Science 574
  • Immunology 528
  • Biotechnology 397
  • Physiology 330
Replace Alan W. Baird with:
Alan W. Baird Ireland
Andreas J. Müller Germany
Noriko M. Tsuji Japan
Bronislaw L. Slomiany United States
J F Brown United Kingdom
Masato Nagaoka Japan
Hang Thi Thu Nguyen United States
Thierry Hennet Switzerland
Ken‐ichi Tanamoto Japan
Catherine Daniel France
Keiko Kawamoto relative to Alan W. Baird Ireland Alan W. Baird's profile →
Citations per field
00.5×5.8×
Alan W. Baird · 1×
Citations per year

Countries citing papers authored by Keiko Kawamoto

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Kawamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiko Kawamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Kawamoto. A scholar is included among the top collaborators of Keiko Kawamoto 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 Keiko Kawamoto. Keiko Kawamoto 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 19
2 10
3 61
4 16
5 45
6 28
7 60
8 26
9 27
10 31
11 5
12 86
13 27
14 24
15 150
16 8
17 46
18 5
19 8
20 11

About Keiko Kawamoto

Keiko Kawamoto is a scholar working on Endocrinology, Biotechnology and Molecular Medicine, having authored 89 papers that have together received 3.1k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (16 papers), Listeria monocytogenes in Food Safety (10 papers) and Vibrio bacteria research studies (8 papers). The work is most often cited by research in Endocrinology (278 citations), Biotechnology (397 citations) and Food Science (574 citations). Keiko Kawamoto has collaborated with scholars based in Japan, United States and Rwanda. Frequent co-authors include Sou‐ichi Makino, Kenichi Higashino, Hiroshi Matsuda, Hitoshi Arita, Hiroshi Asakura, Shizunobu Igimi, Kohji Hanasaki, Shigeki Yamamoto, Jun Ishizaki and Toru Nakano. Their work appears in journals such as Journal of the American Chemical Society, 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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