Gen’i Murasaki

40 total papers · 978 total citations
35 papers, 800 citations indexed

About

Gen’i Murasaki is a scholar working on Molecular Biology, Surgery and Epidemiology. According to data from OpenAlex, Gen’i Murasaki has authored 35 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Surgery and 6 papers in Epidemiology. Recurrent topics in Gen’i Murasaki's work include Bladder and Urothelial Cancer Treatments (8 papers), Genomics, phytochemicals, and oxidative stress (5 papers) and Inflammatory mediators and NSAID effects (4 papers). Gen’i Murasaki is often cited by papers focused on Bladder and Urothelial Cancer Treatments (8 papers), Genomics, phytochemicals, and oxidative stress (5 papers) and Inflammatory mediators and NSAID effects (4 papers). Gen’i Murasaki collaborates with scholars based in Japan, United States and Canada. Gen’i Murasaki's co-authors include Samuel M. Cohen, Ryohei Hasegawa, Shoji Fukushima, Masao Hirose, Nobuyuki Ito, Keisuke Nakanishi, Shoji Fukushima, Terry V. Zenser, Bernard B. Davis and Robert E. Greenfield and has published in prestigious journals such as JNCI Journal of the National Cancer Institute, Carcinogenesis and Cancer Letters.

In The Last Decade

Gen’i Murasaki

33 papers receiving 739 citations

Author Peers

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

Author						Papers	Cites
Gen’i Murasaki	331	207	201	131	98	35	800
Margot Gruenstein	374 1.1×	184 0.9×	159 0.8×	67 0.5×	169 1.7×	49	1.0k
Keisuke Nakanishi	356 1.1×	166 0.8×	236 1.2×	144 1.1×	70 0.7×	21	805
Masa‐Aki Shibata	327 1.0×	164 0.8×	229 1.1×	183 1.4×	62 0.6×	34	799
Paula M. Kramer	376 1.1×	109 0.5×	145 0.7×	63 0.5×	158 1.6×	26	881
Xanthi I. Couroucli	259 0.8×	188 0.9×	100 0.5×	108 0.8×	55 0.6×	38	995
S. Calmels	309 0.9×	260 1.3×	148 0.7×	178 1.4×	68 0.7×	24	952
Yoshiichi Maeura	337 1.0×	82 0.4×	336 1.7×	76 0.6×	145 1.5×	44	847
Masaaki Soma	395 1.2×	123 0.6×	84 0.4×	160 1.2×	99 1.0×	41	1.0k
Jihong Lian	309 0.9×	158 0.8×	86 0.4×	230 1.8×	84 0.9×	23	794
G. E. J. Staal	370 1.1×	95 0.5×	189 0.9×	98 0.7×	63 0.6×	40	838

Countries citing papers authored by Gen’i Murasaki

Since Specialization

Citations

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

Fields of papers citing papers by Gen’i Murasaki

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gen’i Murasaki. 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 Gen’i Murasaki. The network helps show where Gen’i Murasaki may publish in the future.

Co-authorship network of co-authors of Gen’i Murasaki

This figure shows the co-authorship network connecting the top 25 collaborators of Gen’i Murasaki. A scholar is included among the top collaborators of Gen’i Murasaki 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 Gen’i Murasaki. Gen’i Murasaki 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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