Hyogo Sinohara

120 total papers · 1.7k total citations
112 papers, 1.4k citations indexed

About

Hyogo Sinohara is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cancer Research. According to data from OpenAlex, Hyogo Sinohara has authored 112 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Molecular Biology, 16 papers in Endocrinology, Diabetes and Metabolism and 14 papers in Cancer Research. Recurrent topics in Hyogo Sinohara's work include Glycosylation and Glycoproteins Research (17 papers), Protease and Inhibitor Mechanisms (13 papers) and Enzyme Production and Characterization (12 papers). Hyogo Sinohara is often cited by papers focused on Glycosylation and Glycoproteins Research (17 papers), Protease and Inhibitor Mechanisms (13 papers) and Enzyme Production and Characterization (12 papers). Hyogo Sinohara collaborates with scholars based in Japan, United States and Sweden. Hyogo Sinohara's co-authors include Yasuyuki Suzuki, Kazuhiko Yamamoto, Hidenari Takahara, Tohru Umekawa, Takanori Yamate, Akiko T. Saito, Katsuhisa Matsuura, Y Suzuki, Kazunori Kohri and Akio Saito and has published in prestigious journals such as Journal of Biological Chemistry, Biochemical Journal and Biochemical and Biophysical Research Communications.

In The Last Decade

Hyogo Sinohara

111 papers receiving 1.4k citations

Author Peers

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

Author						Papers	Cites
Hyogo Sinohara	733	246	208	187	179	112	1.4k
Otto Wegelius	502 0.7×	374 1.5×	160 0.8×	93 0.5×	180 1.0×	107	1.6k
V. Laine	688 0.9×	168 0.7×	208 1.0×	229 1.2×	211 1.2×	66	1.7k
Margherita Sisto	542 0.7×	173 0.7×	126 0.6×	144 0.8×	147 0.8×	94	1.8k
J Menzel	495 0.7×	180 0.7×	83 0.4×	64 0.3×	196 1.1×	83	1.6k
Jun Suzuki	619 0.8×	118 0.5×	99 0.5×	172 0.9×	108 0.6×	105	1.7k
M Adolphe	531 0.7×	480 2.0×	88 0.4×	116 0.6×	82 0.5×	109	1.7k
Geraldo Aleixo Silva Passos	814 1.1×	127 0.5×	154 0.7×	83 0.4×	206 1.2×	123	1.8k
Klemens Trieb	655 0.9×	249 1.0×	60 0.3×	250 1.3×	122 0.7×	88	1.8k
Andreas Weinhäusel	768 1.0×	76 0.3×	86 0.4×	112 0.6×	127 0.7×	66	1.5k
Guiping Ren	995 1.4×	140 0.6×	73 0.4×	67 0.4×	295 1.6×	97	1.8k

Countries citing papers authored by Hyogo Sinohara

Since Specialization

Citations

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

Fields of papers citing papers by Hyogo Sinohara

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hyogo Sinohara

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