Ryo Utsunomiya

47 total papers · 543 total citations
24 papers, 441 citations indexed

About

Ryo Utsunomiya is a scholar working on Immunology, Dermatology and Molecular Biology. According to data from OpenAlex, Ryo Utsunomiya has authored 24 papers receiving a total of 441 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 8 papers in Dermatology and 4 papers in Molecular Biology. Recurrent topics in Ryo Utsunomiya's work include Dermatology and Skin Diseases (8 papers), IL-33, ST2, and ILC Pathways (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Ryo Utsunomiya is often cited by papers focused on Dermatology and Skin Diseases (8 papers), IL-33, ST2, and ILC Pathways (4 papers) and Neuroinflammation and Neurodegeneration Mechanisms (3 papers). Ryo Utsunomiya collaborates with scholars based in Japan and United States. Ryo Utsunomiya's co-authors include Koji Sayama, Masamoto Murakami, Hideki Mori, Ken Shiraishi, Xiuju Dai, Jun Muto, Mikiko Tohyama, Peter G. Herman, Mohammed E. Choudhury and Hajime Yano and has published in prestigious journals such as Journal of Lipid Research, European Journal of Immunology and Journal of Investigative Dermatology.

In The Last Decade

Ryo Utsunomiya

22 papers receiving 430 citations

Author Peers

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

Author						Papers	Cites
Ryo Utsunomiya	192	119	107	73	60	24	441
Matteo Auriemma	129 0.7×	139 1.2×	54 0.5×	61 0.8×	31 0.5×	20	373
Joseph Fullmer	103 0.5×	88 0.7×	60 0.6×	77 1.1×	53 0.9×	18	419
Wenjuan Tang	77 0.4×	69 0.6×	35 0.3×	139 1.9×	59 1.0×	31	423
Anne R. Moskovitz	135 0.7×	67 0.6×	22 0.2×	32 0.4×	107 1.8×	27	465
Sandra Peternel	108 0.6×	110 0.9×	99 0.9×	133 1.8×	19 0.3×	29	410
Hitomi Tsuji	228 1.2×	157 1.3×	23 0.2×	163 2.2×	35 0.6×	20	477
Young Rae Ji	78 0.4×	34 0.3×	66 0.6×	216 3.0×	45 0.8×	23	439
Gillian Weston	54 0.3×	86 0.7×	39 0.4×	47 0.6×	11 0.2×	20	371
Soo-Young Choi	36 0.2×	64 0.5×	47 0.4×	144 2.0×	82 1.4×	33	456
Yanyan Xing	85 0.4×	23 0.2×	140 1.3×	106 1.5×	59 1.0×	19	378

Countries citing papers authored by Ryo Utsunomiya

Since Specialization

Citations

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

Fields of papers citing papers by Ryo Utsunomiya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryo Utsunomiya

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