Rieko Yagi

15 total papers · 938 total citations
12 papers, 765 citations indexed

About

Rieko Yagi is a scholar working on Rheumatology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Rieko Yagi has authored 12 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Rheumatology, 3 papers in Molecular Biology and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Rieko Yagi's work include Osteoarthritis Treatment and Mechanisms (4 papers), Cell Adhesion Molecules Research (3 papers) and Reproductive Biology and Fertility (2 papers). Rieko Yagi is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (4 papers), Cell Adhesion Molecules Research (3 papers) and Reproductive Biology and Fertility (2 papers). Rieko Yagi collaborates with scholars based in United States, Japan and Pakistan. Rieko Yagi's co-authors include Matthew J. Kohn, Kotaro Kaneko, Melvin Depamphilis, Irina Karavanova, Detlef Vullhorst, Andrés Buonanno, Walter E. Horton, Denise L. McBurney, Lyubomir T. Vassilev and Melvin L. DePamphilis and has published in prestigious journals such as New England Journal of Medicine, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Rieko Yagi

12 papers receiving 752 citations

Author Peers

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

Author						Papers	Cites
Rieko Yagi	532	200	122	110	88	12	765
Patricia A. Short	453 0.9×	97 0.5×	44 0.4×	68 0.6×	148 1.7×	15	808
Jiang Fu	622 1.2×	123 0.6×	30 0.2×	35 0.3×	202 2.3×	22	823
J Meneses	347 0.7×	164 0.8×	83 0.7×	17 0.2×	46 0.5×	8	631
Hirohiko Fujii	198 0.4×	56 0.3×	54 0.4×	67 0.6×	134 1.5×	13	664
Antoine Reginensi	562 1.1×	345 1.7×	45 0.4×	14 0.1×	93 1.1×	10	811
Laura Bald	488 0.9×	54 0.3×	131 1.1×	25 0.2×	94 1.1×	16	856
Durba Mukhopadhyay	353 0.7×	400 2.0×	250 2.0×	27 0.2×	83 0.9×	12	831
E. Futo	400 0.8×	75 0.4×	26 0.2×	64 0.6×	139 1.6×	11	807
Hen Prizant	224 0.4×	26 0.1×	320 2.6×	42 0.4×	112 1.3×	20	891
Sayoko Fujimura	717 1.3×	80 0.4×	140 1.1×	18 0.2×	167 1.9×	20	849

Countries citing papers authored by Rieko Yagi

Since Specialization

Citations

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

Fields of papers citing papers by Rieko Yagi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rieko Yagi

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