Kaori Ema

37 total papers · 684 total citations
27 papers, 535 citations indexed

About

Kaori Ema is a scholar working on Pathology and Forensic Medicine, Biochemistry and Immunology. According to data from OpenAlex, Kaori Ema has authored 27 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Pathology and Forensic Medicine, 9 papers in Biochemistry and 7 papers in Immunology. Recurrent topics in Kaori Ema's work include Tea Polyphenols and Effects (22 papers), Phytochemicals and Antioxidant Activities (8 papers) and Mast cells and histamine (3 papers). Kaori Ema is often cited by papers focused on Tea Polyphenols and Effects (22 papers), Phytochemicals and Antioxidant Activities (8 papers) and Mast cells and histamine (3 papers). Kaori Ema collaborates with scholars based in Japan, Slovakia and United Kingdom. Kaori Ema's co-authors include Mari Maeda‐Yamamoto, Manami Monobe, Fumiko Kato, Hideki Horie, Hirofumi Tachibana, Sachiko Nomura, Atsushi Nesumi, Akiko Matsunaga, Akira Murakami and Hiroshi Nagai and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Journal of the Science of Food and Agriculture and Bioscience Biotechnology and Biochemistry.

In The Last Decade

Kaori Ema

25 papers receiving 514 citations

Author Peers

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

Author						Papers	Cites
Kaori Ema	339	211	117	97	87	27	535
Yuuichi Ukawa	125 0.4×	89 0.4×	35 0.3×	111 1.1×	142 1.6×	22	500
Yinhua Li	303 0.9×	161 0.8×	154 1.3×	152 1.6×	51 0.6×	22	589
Anchalee Rawangkan	197 0.6×	101 0.5×	31 0.3×	148 1.5×	32 0.4×	23	485
Chan‐Su Rha	153 0.5×	107 0.5×	92 0.8×	201 2.1×	121 1.4×	39	536
Minsu Jang	111 0.3×	53 0.3×	53 0.5×	179 1.8×	34 0.4×	19	510
Jianchang Jin	116 0.3×	96 0.5×	164 1.4×	155 1.6×	74 0.9×	25	476
Yuh-Shuen Chen	145 0.4×	75 0.4×	196 1.7×	138 1.4×	114 1.3×	23	559
Masanori Kamei	115 0.3×	191 0.9×	93 0.8×	102 1.1×	46 0.5×	20	529
Atsushi Nesumi	258 0.8×	225 1.1×	111 0.9×	157 1.6×	62 0.7×	24	507
Carolina Thomaz dos Santos D’Almeida	278 0.8×	87 0.4×	208 1.8×	100 1.0×	62 0.7×	18	489

Countries citing papers authored by Kaori Ema

Since Specialization

Citations

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

Fields of papers citing papers by Kaori Ema

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaori Ema

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