Ying‐Ju Chen

61 total papers · 831 total citations
46 papers, 615 citations indexed

About

Ying‐Ju Chen is a scholar working on Hematology, Molecular Biology and Epidemiology. According to data from OpenAlex, Ying‐Ju Chen has authored 46 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Hematology, 8 papers in Molecular Biology and 8 papers in Epidemiology. Recurrent topics in Ying‐Ju Chen's work include Blood groups and transfusion (9 papers), Platelet Disorders and Treatments (6 papers) and Bone health and osteoporosis research (4 papers). Ying‐Ju Chen is often cited by papers focused on Blood groups and transfusion (9 papers), Platelet Disorders and Treatments (6 papers) and Bone health and osteoporosis research (4 papers). Ying‐Ju Chen collaborates with scholars based in Taiwan and United States. Ying‐Ju Chen's co-authors include Shing‐Hwa Liu, Chih‐Hsin Tang, Lin Js, Chen-Chang Yang, Cheng‐Hwai Tzeng, Yi‐Chin Fong, Hsien‐Te Chen, Ming-Ling Wu, Chun‐Hao Tsai and Yingying Wei and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Ying‐Ju Chen

43 papers receiving 598 citations

Author Peers

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

Author Last Decade Papers Cites
Ying‐Ju Chen 152 102 88 83 64 46 615
Suzana Beatriz Veríssimo de Mello 189 1.2× 131 1.3× 180 2.0× 78 0.9× 41 0.6× 39 699
Janis V. Klavins 101 0.7× 99 1.0× 69 0.8× 67 0.8× 43 0.7× 51 556
Yan Tu 236 1.6× 61 0.6× 43 0.5× 54 0.7× 66 1.0× 37 688
Ümit Zeybek 236 1.6× 44 0.4× 100 1.1× 62 0.7× 62 1.0× 50 606
Mahendra Pal Singh Negi 154 1.0× 55 0.5× 63 0.7× 62 0.7× 44 0.7× 40 668
Kang Min Han 178 1.2× 44 0.4× 38 0.4× 71 0.9× 51 0.8× 49 584
E.I. Schwartz 169 1.1× 74 0.7× 62 0.7× 71 0.9× 17 0.3× 40 665
O. Marelli 166 1.1× 47 0.5× 45 0.5× 71 0.9× 87 1.4× 55 661
Jelena Brkljačić 258 1.7× 26 0.3× 45 0.5× 63 0.8× 72 1.1× 46 646
Zorica Ramić 92 0.6× 35 0.3× 63 0.7× 47 0.6× 45 0.7× 30 578

Countries citing papers authored by Ying‐Ju Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ying‐Ju Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying‐Ju Chen. 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 Ying‐Ju Chen. The network helps show where Ying‐Ju Chen may publish in the future.

Co-authorship network of co-authors of Ying‐Ju Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Ying‐Ju Chen. A scholar is included among the top collaborators of Ying‐Ju Chen 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 Ying‐Ju Chen. Ying‐Ju Chen 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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