Yuan Chang-ji

33 total papers · 565 total citations
19 papers, 449 citations indexed

About

Yuan Chang-ji is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Yuan Chang-ji has authored 19 papers receiving a total of 449 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Oncology. Recurrent topics in Yuan Chang-ji's work include Microtubule and mitosis dynamics (3 papers), Adenosine and Purinergic Signaling (2 papers) and Retinoids in leukemia and cellular processes (2 papers). Yuan Chang-ji is often cited by papers focused on Microtubule and mitosis dynamics (3 papers), Adenosine and Purinergic Signaling (2 papers) and Retinoids in leukemia and cellular processes (2 papers). Yuan Chang-ji collaborates with scholars based in China, United States and Austria. Yuan Chang-ji's co-authors include Wolfgang G. Junger, Tiecheng Yu, Lingling Zhao, Chunhai Hao, Dong Zhu, Dahui Sun, Wenyan Zhang, Wei Feng, Yi Bao and Anita C. Bellail and has published in prestigious journals such as Stem Cells, American Journal of Physiology-Cell Physiology and Cancer Letters.

In The Last Decade

Yuan Chang-ji

17 papers receiving 441 citations

Author Peers

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

Author Last Decade Papers Cites
Yuan Chang-ji 249 65 59 53 48 19 449
Nicole Malet 275 1.1× 71 1.1× 55 0.9× 36 0.7× 37 0.8× 17 507
John Meshki 256 1.0× 63 1.0× 39 0.7× 63 1.2× 28 0.6× 18 474
Yangguang Yin 293 1.2× 66 1.0× 25 0.4× 11 0.2× 52 1.1× 20 546
Wei He 306 1.2× 51 0.8× 86 1.5× 7 0.1× 25 0.5× 20 539
Maylin Almonte‐Becerril 173 0.7× 43 0.7× 58 1.0× 14 0.3× 101 2.1× 19 436
Ilaria Caldarelli 298 1.2× 150 2.3× 40 0.7× 9 0.2× 46 1.0× 15 503
Patrick Eulitt 223 0.9× 152 2.3× 37 0.6× 24 0.5× 82 1.7× 18 471
Anna Paczulla 297 1.2× 152 2.3× 38 0.6× 15 0.3× 79 1.6× 13 547
Natasa Zamurovic 363 1.5× 89 1.4× 27 0.5× 7 0.1× 18 0.4× 16 543
Carole Elford 169 0.7× 87 1.3× 11 0.2× 55 1.0× 20 0.4× 15 420

Countries citing papers authored by Yuan Chang-ji

Since Specialization
Citations

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

Fields of papers citing papers by Yuan Chang-ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuan Chang-ji. 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 Yuan Chang-ji. The network helps show where Yuan Chang-ji may publish in the future.

Co-authorship network of co-authors of Yuan Chang-ji

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan Chang-ji. A scholar is included among the top collaborators of Yuan Chang-ji 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 Yuan Chang-ji. Yuan Chang-ji 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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