Fumio Iinuma

55 total papers · 562 total citations
45 papers, 500 citations indexed

About

Fumio Iinuma is a scholar working on Molecular Biology, Spectroscopy and Pharmacology. According to data from OpenAlex, Fumio Iinuma has authored 45 papers receiving a total of 500 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 11 papers in Spectroscopy and 7 papers in Pharmacology. Recurrent topics in Fumio Iinuma's work include Analytical Chemistry and Chromatography (8 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers) and Tryptophan and brain disorders (6 papers). Fumio Iinuma is often cited by papers focused on Analytical Chemistry and Chromatography (8 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers) and Tryptophan and brain disorders (6 papers). Fumio Iinuma collaborates with scholars based in Japan. Fumio Iinuma's co-authors include Mitsuo Watanabe, Ken‐ichi Mawatari, Akio Tsuji, Toshio Kinoshita, Toshio Kinoshita, Kiyoshi Zaitsu, Masaki Takahashi, Takaharu Negoro, Toshio Kinoshita and Yasuharu Nakamura and has published in prestigious journals such as Analytical Biochemistry, Biochemical and Biophysical Research Communications and Journal of Chromatography A.

In The Last Decade

Fumio Iinuma

45 papers receiving 453 citations

Author Peers

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

Author						Papers	Cites
Fumio Iinuma	181	132	98	63	53	45	500
Ken‐ichi Mawatari	153 0.8×	89 0.7×	79 0.8×	45 0.7×	50 0.9×	31	451
Ilona Sadok	160 0.9×	49 0.4×	149 1.5×	54 0.9×	50 0.9×	49	588
André Liesener	166 0.9×	150 1.1×	77 0.8×	30 0.5×	50 0.9×	15	475
Kazuhiro Maruta	166 0.9×	55 0.4×	40 0.4×	23 0.4×	17 0.3×	23	447
J Pachecka	174 1.0×	58 0.4×	34 0.3×	21 0.3×	16 0.3×	57	555
Eunjung Bang	210 1.2×	142 1.1×	23 0.2×	16 0.3×	55 1.0×	33	573
Päivi Uutela	225 1.2×	124 0.9×	18 0.2×	22 0.3×	46 0.9×	13	487
P. Betto	155 0.9×	90 0.7×	8 0.1×	78 1.2×	35 0.7×	28	524
Bo‐Hua Zhong	206 1.1×	63 0.5×	40 0.4×	22 0.3×	31 0.6×	59	578
Kevin F. McKenna	111 0.6×	53 0.4×	32 0.3×	25 0.4×	20 0.4×	18	504

Countries citing papers authored by Fumio Iinuma

Since Specialization

Citations

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

Fields of papers citing papers by Fumio Iinuma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fumio Iinuma

This figure shows the co-authorship network connecting the top 25 collaborators of Fumio Iinuma. A scholar is included among the top collaborators of Fumio Iinuma 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 Fumio Iinuma. Fumio Iinuma 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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