Yuan-I Chang

772 total citations
12 papers, 547 citations indexed

About

Yuan-I Chang is a scholar working on Molecular Biology, Hematology and Physiology. According to data from OpenAlex, Yuan-I Chang has authored 12 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Hematology and 2 papers in Physiology. Recurrent topics in Yuan-I Chang's work include Epigenetics and DNA Methylation (5 papers), Acute Myeloid Leukemia Research (4 papers) and Erythrocyte Function and Pathophysiology (2 papers). Yuan-I Chang is often cited by papers focused on Epigenetics and DNA Methylation (5 papers), Acute Myeloid Leukemia Research (4 papers) and Erythrocyte Function and Pathophysiology (2 papers). Yuan-I Chang collaborates with scholars based in United States, Taiwan and Czechia. Yuan-I Chang's co-authors include Kirby D. Johnson, Xin Gao, Emery H. Bresnick, Jing Zhang, Meghan E. Boyer, Colin N. Dewey, Alisa Damnernsawad, Richard S. Eisenstein, Jing Zhang and Christopher P. Nizzi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Yuan-I Chang

12 papers receiving 541 citations

Peers

Yuan-I Chang
Comparison fields: 5 of 71
  • Molecular Biology 332
  • Hematology 252
  • Genetics 117
  • Immunology 79
  • Cell Biology 75
Replace Michelle Giehl with:
Michelle Giehl Germany
Hanqian L. Carlson United States
Seung-Jae Noh South Korea
Glynis McCray United States
Abbhirami Rajagopal United States
Deborah Maret Canada
Gemma Nock United Kingdom
Franck Debeurme France
Yvette Y. Yien United States
Seana C. Catherman United States
Michelle Giehl Germany View profile →
Citations per field, relative to Yuan-I Chang
Yuan-I Chang · 1×
Citations per year, relative to Yuan-I Chang
Yuan-I Chang · 1×

Countries citing papers authored by Yuan-I Chang

Since Specialization
Citations

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

Fields of papers citing papers by Yuan-I Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan-I Chang. A scholar is included among the top collaborators of Yuan-I 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 Yuan-I Chang. Yuan-I Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
# Work Indexed citations
1 10
2 4
3 51
4 40
5 169
6 15
7 23
8 39
9 1
10 115
11 17
12 63

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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