Yu‐Ling Chang

943 citations
19 papers · 590 indexed · h-index 12
Topics
Systemic Sclerosis and Related Diseases (4 papers)interferon and immune responses (2 papers)Mesenchymal stem cell research (2 papers)
Partner nations
United StatesTaiwanChina

In The Last Decade

Yu‐Ling Chang

18 papers receiving 579 citations

Peers

Yu‐Ling Chang
Comparison fields: 5 of 83
  • Molecular Biology 218
  • Pathology and Forensic Medicine 133
  • Periodontics 115
  • Epidemiology 114
  • Immunology 103
Replace Giovanni Luca Scaglione with:
Giovanni Luca Scaglione Italy
Katarina Zeljić Serbia
Maura Rosane Valério Ikoma Brazil
Sven Niklander Chile
Vesna Petronic‐Rosic United States
Maria Luisa Pacor Italy
Mustafa Atasoy Türkiye
Diogo Fonseca‐Pereira Portugal
Hiroshi Nagaya United States
Hacer Sahin Türkiye
Yu‐Ling Chang relative to Giovanni Luca Scaglione Italy Giovanni Luca Scaglione's profile →
Citations per field
00.5×5.8×
Giovanni Luca Scaglione · 1×
Citations per year

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

19 of 19 papers shown
#WorkIndexed citations
1 0
2 4
3 3
4 26
5 6
6 25
7 50
8 22
9 11
10 1
11 77
12 11
13 91
14 1
15 14
16 29
17 32
18 154
19 33

About Yu‐Ling Chang

Yu‐Ling Chang is a scholar working on Transplantation, Pathology and Forensic Medicine and Immunology, having authored 19 papers that have together received 590 indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (4 papers), interferon and immune responses (2 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Periodontics (115 citations), Gastroenterology (50 citations) and Pathology and Forensic Medicine (133 citations). Yu‐Ling Chang has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Jonathan Braun, Steven Offenbacher, Timothy C. Nichols, Gary G. Koch, Elizabeth P. Merricks, James D. Beck, Nadine Brodala, Dwight A. Bellinger, Phoebus Madianos and Philip J. Clements. Their work appears in journals such as Nature Cell Biology, Cancer Research and Annals of Surgery.

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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