Jianyao Wu

59 total papers · 903 total citations
42 papers, 652 citations indexed

About

Jianyao Wu is a scholar working on Molecular Biology, Genetics and Orthopedics and Sports Medicine. According to data from OpenAlex, Jianyao Wu has authored 42 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 15 papers in Genetics and 9 papers in Orthopedics and Sports Medicine. Recurrent topics in Jianyao Wu's work include Bone Metabolism and Diseases (12 papers), Estrogen and related hormone effects (11 papers) and Bone health and osteoporosis research (9 papers). Jianyao Wu is often cited by papers focused on Bone Metabolism and Diseases (12 papers), Estrogen and related hormone effects (11 papers) and Bone health and osteoporosis research (9 papers). Jianyao Wu collaborates with scholars based in Sweden, Finland and United States. Jianyao Wu's co-authors include Alex K.‐Y. Jen, Xiaoming Wu, Claes Ohlsson, Yunqi Liu, Sofia Movérare‐Skrtic, Klara Sjögren, Petra Henning, Antti Koskela, Juha Tuukkanen and Karin L. Gustafsson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Chemistry of Materials.

In The Last Decade

Jianyao Wu

39 papers receiving 644 citations

Author Peers

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

Author						Papers	Cites
Jianyao Wu	217	144	117	100	92	42	652
Shijie Lan	183 0.8×	58 0.4×	46 0.4×	110 1.1×	62 0.7×	35	641
Fusong Jiang	157 0.7×	32 0.2×	36 0.3×	187 1.9×	97 1.1×	57	664
Ratan Kumar	246 1.1×	21 0.1×	25 0.2×	79 0.8×	43 0.5×	26	606
Jun Beom Park	176 0.8×	88 0.6×	22 0.2×	187 1.9×	18 0.2×	34	704
Xueqiang Wu	203 0.9×	78 0.5×	22 0.2×	82 0.8×	27 0.3×	34	653
Yuuki Yamaguchi	272 1.3×	28 0.2×	17 0.1×	126 1.3×	29 0.3×	25	599
Yifan Xia	226 1.0×	46 0.3×	31 0.3×	78 0.8×	75 0.8×	31	716
Ruiying Ma	382 1.8×	63 0.4×	56 0.5×	34 0.3×	29 0.3×	42	692
Satoshi Yoneyama	148 0.7×	153 1.1×	5 0.0×	123 1.2×	117 1.3×	51	714
Jun Kobayashi	169 0.8×	39 0.3×	36 0.3×	191 1.9×	33 0.4×	58	770

Countries citing papers authored by Jianyao Wu

Since Specialization

Citations

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

Fields of papers citing papers by Jianyao Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianyao Wu

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