Huang‐Ju Tu

31 total papers · 523 total citations
24 papers, 396 citations indexed

About

Huang‐Ju Tu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Huang‐Ju Tu has authored 24 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Huang‐Ju Tu's work include Cell Adhesion Molecules Research (4 papers), Histone Deacetylase Inhibitors Research (4 papers) and Down syndrome and intellectual disability research (3 papers). Huang‐Ju Tu is often cited by papers focused on Cell Adhesion Molecules Research (4 papers), Histone Deacetylase Inhibitors Research (4 papers) and Down syndrome and intellectual disability research (3 papers). Huang‐Ju Tu collaborates with scholars based in Taiwan, China and United States. Huang‐Ju Tu's co-authors include Shiow‐Lin Pan, Wen Fu, Min‐Wu Chao, Jing‐Ping Liou, Chia‐Ron Yang, Rong‐Sen Yang, Kai‐Cheng Hsu, Houng‐Chi Liou, Tzu‐Hung Lin and Yung‐Cheng Chiu and has published in prestigious journals such as PLoS ONE, The FASEB Journal and European Journal of Pharmacology.

In The Last Decade

Huang‐Ju Tu

23 papers receiving 389 citations

Author Peers

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

Author Last Decade Papers Cites
Huang‐Ju Tu 247 120 46 34 30 24 396
Daeun You 212 0.9× 156 1.3× 84 1.8× 42 1.2× 22 0.7× 22 433
Yisun Jeong 177 0.7× 127 1.1× 64 1.4× 40 1.2× 20 0.7× 20 356
Zhanzhan Feng 264 1.1× 100 0.8× 35 0.8× 18 0.5× 61 2.0× 19 389
A R HESS 277 1.1× 67 0.6× 87 1.9× 26 0.8× 18 0.6× 19 442
Kyle Vaughn Laster 291 1.2× 79 0.7× 79 1.7× 27 0.8× 25 0.8× 34 438
Jelena Zarić 162 0.7× 63 0.5× 45 1.0× 33 1.0× 20 0.7× 15 376
Dennis G. Fry 210 0.9× 104 0.9× 51 1.1× 18 0.5× 39 1.3× 19 377
Boh-Ram Kim 247 1.0× 62 0.5× 79 1.7× 35 1.0× 20 0.7× 17 344
Francesca Saccani 213 0.9× 159 1.3× 29 0.6× 57 1.7× 46 1.5× 21 445
Érico T. Costa 220 0.9× 65 0.5× 60 1.3× 54 1.6× 13 0.4× 24 389

Countries citing papers authored by Huang‐Ju Tu

Since Specialization
Citations

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

Fields of papers citing papers by Huang‐Ju Tu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huang‐Ju Tu

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