Yu‐Ling Chang

51 total papers · 971 total citations
19 papers, 584 citations indexed

About

Yu‐Ling Chang is a scholar working on Immunology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Yu‐Ling Chang has authored 19 papers receiving a total of 584 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 6 papers in Pathology and Forensic Medicine and 4 papers in Molecular Biology. Recurrent topics in Yu‐Ling Chang's work include Systemic Sclerosis and Related Diseases (4 papers), Mesenchymal stem cell research (2 papers) and Dysphagia Assessment and Management (2 papers). Yu‐Ling Chang is often cited by papers focused on Systemic Sclerosis and Related Diseases (4 papers), Mesenchymal stem cell research (2 papers) and Dysphagia Assessment and Management (2 papers). Yu‐Ling Chang collaborates with scholars based in United States, Taiwan and China. Yu‐Ling Chang's co-authors include Jonathan Braun, Nadine Brodala, Steven Offenbacher, Gary G. Koch, Elizabeth P. Merricks, Phoebus Madianos, James D. Beck, Timothy C. Nichols, Dwight A. Bellinger and Jonathan P. Jacobs and has published in prestigious journals such as Nature Cell Biology, Cancer Research and Annals of Surgery.

In The Last Decade

Yu‐Ling Chang

18 papers receiving 574 citations

Author Peers

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

Author Last Decade Papers Cites
Yu‐Ling Chang 218 129 115 113 102 19 584
J BECK 136 0.6× 80 0.6× 92 0.8× 75 0.7× 79 0.8× 15 634
Katarina Zeljić 326 1.5× 129 1.0× 82 0.7× 39 0.3× 62 0.6× 32 675
Laura Winterfield 52 0.2× 103 0.8× 129 1.1× 330 2.9× 148 1.5× 18 683
Atsushi Nakajima 219 1.0× 19 0.1× 76 0.7× 85 0.8× 62 0.6× 28 659
Siane Lopes Bittencourt Rosas 442 2.0× 46 0.4× 28 0.2× 62 0.5× 42 0.4× 14 631
Yun Fu 78 0.4× 43 0.3× 81 0.7× 141 1.2× 181 1.8× 19 553
Milton H. Dalbow 94 0.4× 70 0.5× 54 0.5× 70 0.6× 95 0.9× 23 509
Michael T. Aubrey 140 0.6× 146 1.1× 12 0.1× 94 0.8× 198 1.9× 23 680
Byonggu An 431 2.0× 86 0.7× 27 0.2× 95 0.8× 19 0.2× 19 671
Ágnes Gyetvai 140 0.6× 82 0.6× 15 0.1× 153 1.4× 221 2.2× 23 684

Countries citing papers authored by Yu‐Ling Chang

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Ling Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐Ling Chang. 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 Yu‐Ling Chang. The network helps show where Yu‐Ling Chang may publish in the future.

Co-authorship network of co-authors of Yu‐Ling Chang

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