Riichi Sakazaki

4.3k citations
140 papers · 3.1k indexed · h-index 32
Topics
Vibrio bacteria research studies (50 papers)Salmonella and Campylobacter epidemiology (30 papers)Aquaculture disease management and microbiota (30 papers)

In The Last Decade

Riichi Sakazaki

134 papers receiving 2.7k citations

Peers

Riichi Sakazaki
Comparison fields: 5 of 114
  • Endocrinology 2.0k
  • Immunology 1.2k
  • Food Science 757
  • Molecular Biology 690
  • Ecology 466
Replace Alma C. McWhorter with:
Alma C. McWhorter United States
G R Fanning United States
F W Hickman-Brenner United States
Kazumichi Tamura Japan
Sam W. Joseph United States
A G Steigerwalt United States
G. W. Jones United States
Masaaki Iwanaga Japan
Romilio T. Espejo Chile
Emmett B. Shotts United States
Riichi Sakazaki relative to Alma C. McWhorter United States Alma C. McWhorter's profile →
Citations per field
00.5×1.5×2.2×
Alma C. McWhorter · 1×
Citations per year

Countries citing papers authored by Riichi Sakazaki

Since Specialization
Citations

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

Fields of papers citing papers by Riichi Sakazaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riichi Sakazaki

This figure shows the co-authorship network connecting the top 25 collaborators of Riichi Sakazaki. A scholar is included among the top collaborators of Riichi Sakazaki 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 Riichi Sakazaki. Riichi Sakazaki 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 31
2 1
3 3
4
Free Fatty Acids from the Intracellular-Thermostable Hemolytic Fraction of Vibrio parahaemolyticus and their Hemolytic Effect
1
5 8
6 1
7 2
8 2
9 8
10 2
11 126
12 4
13
SEROLOGICAL STUDIES ON THE CLOACA (AEROBACTER) GROUP OF ENTERIC BACTERIA
0
14
The occurrence and distribution of Salmonella and Arizona in Japan.
1
15 1
16 3
17 1
18 1
19 0
20 1

About Riichi Sakazaki

Riichi Sakazaki is a scholar working on Endocrinology, Microbiology and Food Science, having authored 140 papers that have together received 3.1k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (50 papers), Salmonella and Campylobacter epidemiology (30 papers) and Aquaculture disease management and microbiota (30 papers). The work is most often cited by research in Endocrinology (2.0k citations), Immunology (1.2k citations) and Molecular Medicine (239 citations). Riichi Sakazaki has collaborated with scholars based in Japan, Armenia and United States. Frequent co-authors include Kazumichi Tamura, Toshio Shimada, Yoshimasa Kosako, Setsuo Iwanami, Rita R. Colwell, Akiko Nakamura, Shiro Yamai, HIDEO FUKUMI, Haskell S. Tubiash and Kyoko Hobo. Their work appears in journals such as Journal of Bacteriology, Journal of Clinical Microbiology and The Journal of Infectious Diseases.

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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