Chien-Ching Chang

466 citations
15 papers · 335 indexed · h-index 11

Impact in

Papers in

    • Genetic Associations and Epidemiology 4
    • Diabetes and associated disorders 3
    • Genetics and Neurodevelopmental Disorders 2

Chien-Ching Chang

15 papers receiving 330 citations

Peers

Chien-Ching Chang
Comparison fields: 5 of 70
  • Genetics 145
  • Endocrinology, Diabetes and Metabolism 61
  • Biological Psychiatry 8
  • Immunology 59
  • Cellular and Molecular Neuroscience 31
Replace Mao Yang with:
Mao Yang China
Carolina Oliveira Gigek Brazil
Tamás Csikós Netherlands
Karissa Gable United States
Amanda D. Taylor United Kingdom
Zhanwen He China
Limeng Dai China
Yasuhiko Kanou Japan
Yasutomi Kuroki Japan
Jalal Gharesouran Iran
Chien-Ching Chang relative to Mao Yang China Mao Yang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Chien-Ching Chang

Since Specialization
Citations

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

Fields of papers citing papers by Chien-Ching Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chien-Ching Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chien-Ching Chang Line = papers co-authored together Chien-Ching Chang links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 20231
2 202215
3 202213
4 20186
5 20188
6 20172
7 201619
8 201574
9 201410
10 201320
11 201121
12 201157
13 201028
14 200747
15 200514

About Chien-Ching Chang

Chien-Ching Chang is a scholar working on Biological Psychiatry, Genetics, Developmental Neuroscience, Endocrinology, Diabetes and Metabolism and Hematology, having authored 15 papers that have together received 335 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (4 papers), Diabetes and associated disorders (3 papers), Epigenetics and DNA Methylation (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Blood groups and transfusion (2 papers), Pancreatic function and diabetes (2 papers), Thyroid Disorders and Treatments (2 papers) and Amino Acid Enzymes and Metabolism (1 paper). The work is most often cited by research in Genetics (145 citations), Endocrinology, Diabetes and Metabolism (61 citations), Biological Psychiatry (8 citations), Immunology (59 citations) and Cellular and Molecular Neuroscience (31 citations). Chien-Ching Chang has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Cathy S.J. Fann, Wei‐Shiung Yang, Pei‐Lung Chen, Chen‐Chung Chu, Tien‐Chun Chang, Ming T. Tsuang, Chih‐Min Liu, Hai‐Gwo Hwu, Marie Lin and Wei J. Chen. Their work appears in journals such as PLoS ONE, Clinical Cancer Research, Frontiers in Endocrinology, BMC Genomics and Biological Psychiatry.

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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