Shigeo MURAKOSHI

54 total papers · 893 total citations
48 papers, 689 citations indexed

About

Shigeo MURAKOSHI is a scholar working on Molecular Biology, Insect Science and Plant Science. According to data from OpenAlex, Shigeo MURAKOSHI has authored 48 papers receiving a total of 689 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 22 papers in Insect Science and 11 papers in Plant Science. Recurrent topics in Shigeo MURAKOSHI's work include Silkworms and Sericulture Research (13 papers), Phytochemical compounds biological activities (8 papers) and Silk-based biomaterials and applications (7 papers). Shigeo MURAKOSHI is often cited by papers focused on Silkworms and Sericulture Research (13 papers), Phytochemical compounds biological activities (8 papers) and Silk-based biomaterials and applications (7 papers). Shigeo MURAKOSHI collaborates with scholars based in Japan, China and Russia. Shigeo MURAKOSHI's co-authors include Saburo Tamura, Akinori Suzuki, Akira Isogai, Seiji Takayama, Masakatsu Ichinoe, Masaharu Kanaoka, Ching-Fun Chang, Akira Sakurai, Toshiya Kamikado and Qiang Cai and has published in prestigious journals such as Tetrahedron Letters, Applied Entomology and Zoology and Food Hygiene and Safety Science (Shokuhin Eiseigaku Zasshi).

In The Last Decade

Shigeo MURAKOSHI

46 papers receiving 619 citations

Author Peers

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

Author						Papers	Cites
Shigeo MURAKOSHI	300	258	197	130	96	48	689
Naoki Noda	412 1.4×	168 0.7×	100 0.5×	132 1.0×	110 1.1×	49	756
Yan‐Qiong Guo	484 1.6×	210 0.8×	214 1.1×	85 0.7×	122 1.3×	36	718
Shûhei Nakajima	257 0.9×	272 1.1×	253 1.3×	135 1.0×	47 0.5×	76	793
Pilar Moya	191 0.6×	215 0.8×	260 1.3×	108 0.8×	146 1.5×	32	672
Peter Bæckström	179 0.6×	187 0.7×	240 1.2×	178 1.4×	42 0.4×	39	751
Alexej Nikiforov	187 0.6×	169 0.7×	101 0.5×	90 0.7×	73 0.8×	66	679
Michael Bokel	471 1.6×	358 1.4×	81 0.4×	106 0.8×	60 0.6×	28	749
José Guedes de Sena Filho	224 0.7×	396 1.5×	114 0.6×	49 0.4×	152 1.6×	44	717
M.S. Chadha	352 1.2×	285 1.1×	107 0.5×	109 0.8×	41 0.4×	66	763
George M. Strunz	182 0.6×	222 0.9×	83 0.4×	247 1.9×	131 1.4×	64	680

Countries citing papers authored by Shigeo MURAKOSHI

Since Specialization

Citations

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

Fields of papers citing papers by Shigeo MURAKOSHI

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shigeo MURAKOSHI

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