Nahoko Sakaguchi

9 total papers · 964 total citations
8 papers, 842 citations indexed

About

Nahoko Sakaguchi is a scholar working on Molecular Biology, Applied Microbiology and Biotechnology and Molecular Medicine. According to data from OpenAlex, Nahoko Sakaguchi has authored 8 papers receiving a total of 842 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Applied Microbiology and Biotechnology and 3 papers in Molecular Medicine. Recurrent topics in Nahoko Sakaguchi's work include Tannin, Tannase and Anticancer Activities (4 papers), Proteoglycans and glycosaminoglycans research (3 papers) and Curcumin's Biomedical Applications (3 papers). Nahoko Sakaguchi is often cited by papers focused on Tannin, Tannase and Anticancer Activities (4 papers), Proteoglycans and glycosaminoglycans research (3 papers) and Curcumin's Biomedical Applications (3 papers). Nahoko Sakaguchi collaborates with scholars based in Japan and United States. Nahoko Sakaguchi's co-authors include Yukio OGIHARA, Makoto Inoue, Kazuto ISUZUGAWA, Sadatoshi Sakuma, Hisako Muramatsu, Tadahiro Takeda, Takashi Muramatsu, Shinya Ikematsu, Yukio Ogihara and Hiroyuki Tani and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Cell Science and Biochemical Pharmacology.

In The Last Decade

Nahoko Sakaguchi

8 papers receiving 817 citations

Author Peers

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

Author						Papers	Cites
Nahoko Sakaguchi	392	210	172	112	95	8	842
Sina Sareth	621 1.6×	68 0.3×	52 0.3×	69 0.6×	146 1.5×	9	842
Hasan Mukhtar	385 1.0×	59 0.3×	48 0.3×	173 1.5×	77 0.8×	19	910
Velmurugan Balaiya	417 1.1×	29 0.1×	77 0.4×	111 1.0×	106 1.1×	13	773
An-Cheng Huang	560 1.4×	43 0.2×	54 0.3×	56 0.5×	131 1.4×	20	901
Andrew Hitron	384 1.0×	42 0.2×	27 0.2×	138 1.2×	66 0.7×	8	747
Ying‐Jan Wang	424 1.1×	66 0.3×	23 0.1×	79 0.7×	115 1.2×	22	830
Tung-Yuan Lai	597 1.5×	65 0.3×	32 0.2×	50 0.4×	96 1.0×	28	980
Yi-Shih Ma	424 1.1×	31 0.1×	52 0.3×	43 0.4×	93 1.0×	14	735
Mohamed R. Akl	367 0.9×	63 0.3×	16 0.1×	140 1.3×	112 1.2×	23	855
Te-Mao Li	398 1.0×	45 0.2×	25 0.1×	46 0.4×	125 1.3×	20	874

Countries citing papers authored by Nahoko Sakaguchi

Since Specialization

Citations

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

Fields of papers citing papers by Nahoko Sakaguchi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nahoko Sakaguchi

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