Ippei Furikado

11 total papers · 725 total citations
10 papers, 641 citations indexed

About

Ippei Furikado is a scholar working on Biomedical Engineering, Organic Chemistry and Molecular Biology. According to data from OpenAlex, Ippei Furikado has authored 10 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Biomedical Engineering, 4 papers in Organic Chemistry and 3 papers in Molecular Biology. Recurrent topics in Ippei Furikado's work include Catalysis for Biomass Conversion (3 papers), Catalysis and Hydrodesulfurization Studies (3 papers) and Antimicrobial Peptides and Activities (2 papers). Ippei Furikado is often cited by papers focused on Catalysis for Biomass Conversion (3 papers), Catalysis and Hydrodesulfurization Studies (3 papers) and Antimicrobial Peptides and Activities (2 papers). Ippei Furikado collaborates with scholars based in Japan, Germany and Sweden. Ippei Furikado's co-authors include Keiichi Tomishige, Shuichi Koso, Kimio Kunimori, Tomohisa Miyazawa, Takashi Yamagishi, Shin‐ichi Ito, Toshihiro Miyao, Shuichi Naito, Tommy Nylander and Marilyn Rayner and has published in prestigious journals such as Analytical Chemistry, Langmuir and Chemical Communications.

In The Last Decade

Ippei Furikado

10 papers receiving 634 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Ippei Furikado	530	381	195	149	85	10	641
C. Montassier	518 1.0×	306 0.8×	243 1.2×	162 1.1×	93 1.1×	13	634
Efterpi S. Vasiliadou	667 1.3×	440 1.2×	355 1.8×	164 1.1×	50 0.6×	12	753
M. Balaraju	606 1.1×	339 0.9×	276 1.4×	192 1.3×	100 1.2×	12	733
David Scholz	530 1.0×	327 0.9×	127 0.7×	134 0.9×	158 1.9×	10	633
Nian Lei	525 1.0×	385 1.0×	130 0.7×	208 1.4×	99 1.2×	17	668
Haixiao Kang	465 0.9×	266 0.7×	219 1.1×	247 1.7×	105 1.2×	9	705
Michel J. Gray	547 1.0×	247 0.6×	203 1.0×	306 2.1×	72 0.8×	16	743
Leifeng Gong	352 0.7×	270 0.7×	304 1.6×	339 2.3×	79 0.9×	16	631
T. Thananatthanachon	542 1.0×	302 0.8×	122 0.6×	113 0.8×	157 1.8×	10	667
L. Ott	632 1.2×	166 0.4×	165 0.8×	158 1.1×	100 1.2×	8	718

Countries citing papers authored by Ippei Furikado

Since Specialization

Citations

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

Fields of papers citing papers by Ippei Furikado

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ippei Furikado

This figure shows the co-authorship network connecting the top 25 collaborators of Ippei Furikado. A scholar is included among the top collaborators of Ippei Furikado 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 Ippei Furikado. Ippei Furikado is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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