Rie Fukui

584 total citations
28 papers, 462 citations indexed

About

Rie Fukui is a scholar working on Molecular Biology, Food Science and Cell Biology. According to data from OpenAlex, Rie Fukui has authored 28 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Food Science and 4 papers in Cell Biology. Recurrent topics in Rie Fukui's work include Sphingolipid Metabolism and Signaling (9 papers), Salmonella and Campylobacter epidemiology (4 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). Rie Fukui is often cited by papers focused on Sphingolipid Metabolism and Signaling (9 papers), Salmonella and Campylobacter epidemiology (4 papers) and PI3K/AKT/mTOR signaling in cancer (4 papers). Rie Fukui collaborates with scholars based in Japan and United Kingdom. Rie Fukui's co-authors include Toshifumi Tsujiuchi, Nobuyuki Fukushima, Kohei Kato, Kyoko Okabe, Mai Hayashi, Kenji Sadamasu, Katsunari Tezuka, Takashi Tsuji, Kanya Honoki and Atae Utsunomiya and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Biochemical and Biophysical Research Communications and Cancer Letters.

In The Last Decade

Rie Fukui

28 papers receiving 453 citations

Peers

Rie Fukui
Comparison fields: 5 of 68
  • Molecular Biology 280
  • Cell Biology 88
  • Immunology 56
  • Food Science 45
  • Public Health, Environmental and Occupational Health 36
Replace Emmanuel Kamberov with:
Emmanuel Kamberov United States
Lifei Fan China
Kazuki Moriguchi Japan
John Hanish United States
Larissa Gomelsky United States
Alessandro Pagliuso France
Xuehui Li China
Xingyi Hang China
Jane D. Funkhouser United States
Luoluo Wang China
Emmanuel Kamberov United States View profile →
Citations per field, relative to Rie Fukui
Rie Fukui · 1×
Citations per year, relative to Rie Fukui
Rie Fukui · 1×

Countries citing papers authored by Rie Fukui

Since Specialization
Citations

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

Fields of papers citing papers by Rie Fukui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rie Fukui

This figure shows the co-authorship network connecting the top 25 collaborators of Rie Fukui. A scholar is included among the top collaborators of Rie Fukui 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 Rie Fukui. Rie Fukui 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 1
2 5
3 27
4 1
5 8
6 34
7 11
8 14
9 16
10 5
11 58
12 38
13 25
14 24
15
Two- or four-week repeated-dose studies and fertility study of cisplatin in female rats
1
16 12
17 19
18 10
19 4
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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026