Chang Yu

1.1k total citations
24 papers, 814 citations indexed

About

Chang Yu is a scholar working on Statistics and Probability, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Chang Yu has authored 24 papers receiving a total of 814 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Statistics and Probability, 5 papers in Endocrinology, Diabetes and Metabolism and 4 papers in Molecular Biology. Recurrent topics in Chang Yu's work include Statistical Methods and Bayesian Inference (5 papers), Childhood Cancer Survivors' Quality of Life (3 papers) and Diabetes Management and Research (3 papers). Chang Yu is often cited by papers focused on Statistical Methods and Bayesian Inference (5 papers), Childhood Cancer Survivors' Quality of Life (3 papers) and Diabetes Management and Research (3 papers). Chang Yu collaborates with scholars based in United States, China and Israel. Chang Yu's co-authors include Margaret Grey, Elizabeth A. Boland, Susan Sullivan‐Bolyai, William V. Tamborlane, Maryanne Davidson, Daniel Zelterman, William V. Tamborlane, Qi He, Jing Zheng and Fang Song and has published in prestigious journals such as Journal of the American Statistical Association, Diabetes Care and Biometrics.

In The Last Decade

Chang Yu

23 papers receiving 750 citations

Peers

Chang Yu
Comparison fields: 5 of 128
  • Endocrinology, Diabetes and Metabolism 402
  • Pediatrics, Perinatology and Child Health 159
  • Speech and Hearing 157
  • Surgery 115
  • Genetics 112
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Citations per field, relative to Chang Yu
Chang Yu · 1×
Citations per year, relative to Chang Yu
Chang Yu · 1×

Countries citing papers authored by Chang Yu

Since Specialization
Citations

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

Fields of papers citing papers by Chang Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chang Yu

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 15
2 3
3 3
4 66
5 32
6 21
7 14
8
Separation, purification and preliminary structure analysis of polysaccharide PMP12 from Mulberry leaves.
1
9 13
10
[Effects of a JAK inhibitor, AG490, on proliferation and survivin expression of breast cancer cell line MDA-MB-231].
1
11 4
12 5
13 13
14 32
15 3
16 67
17 82
18 10
19 227
20 0

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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