Shin Fukui

723 citations
25 papers · 567 indexed · h-index 11
Topics
Glycosylation and Glycoproteins Research (9 papers)Climate change impacts on agriculture (6 papers)Rice Cultivation and Yield Improvement (5 papers)
Partner nations
JapanTaiwan

In The Last Decade

Shin Fukui

23 papers receiving 553 citations

Peers

Shin Fukui
Comparison fields: 5 of 80
  • Molecular Biology 295
  • Radiology, Nuclear Medicine and Imaging 152
  • Plant Science 134
  • Organic Chemistry 109
  • Immunology 95
Replace Henri‐Alexandre Michaud with:
Henri‐Alexandre Michaud France
Changchun Deng United States
C. Johansson Sweden
Samuel Moser Switzerland
Leo S. Payne New Zealand
A. Barnes United Kingdom
Eszter Illyés Hungary
Xinghua Sui China
David J. Smith United States
Chen Ma China
Shin Fukui relative to Henri‐Alexandre Michaud France Henri‐Alexandre Michaud's profile →
Citations per field
00.5×3.0×
Henri‐Alexandre Michaud · 1×
Citations per year

Countries citing papers authored by Shin Fukui

Since Specialization
Citations

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

Fields of papers citing papers by Shin Fukui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shin Fukui

This figure shows the co-authorship network connecting the top 25 collaborators of Shin Fukui. A scholar is included among the top collaborators of Shin 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 Shin Fukui. Shin 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
#WorkIndexed citations
1 0
2 6
3 4
4 1
5 6
6 0
7 10
8 7
9 21
10 21
11 10
12 2
13 2
14 129
15 3
16 7
17
Characterization of mucin antigens recognized by monoclonal antibodies raised against human colon cancer cells.
13
18 15
19 82
20 17

About Shin Fukui

Shin Fukui is a scholar working on Ecology, Evolution, Behavior and Systematics, Ecological Modeling and Plant Science, having authored 25 papers that have together received 567 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (9 papers), Climate change impacts on agriculture (6 papers) and Rice Cultivation and Yield Improvement (5 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (152 citations), Soil Science (62 citations) and Immunology (95 citations). Shin Fukui has collaborated with scholars based in Japan and Taiwan. Frequent co-authors include Ikuo Yamashina, Takeshi Miki, Masayuki Ushio, Michio Kondoh, Ikuo Funakoshi, Hiroshi Nakada, Hiroshi Kitagawa, Mikio Inoue, Yasushi Ishigooka and Toshihiro Hasegawa. 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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