Chia-Ming Chang

661 total citations
31 papers, 457 citations indexed

About

Chia-Ming Chang is a scholar working on Reproductive Medicine, Pulmonary and Respiratory Medicine and Obstetrics and Gynecology. According to data from OpenAlex, Chia-Ming Chang has authored 31 papers receiving a total of 457 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Reproductive Medicine, 6 papers in Pulmonary and Respiratory Medicine and 6 papers in Obstetrics and Gynecology. Recurrent topics in Chia-Ming Chang's work include Ovarian cancer diagnosis and treatment (8 papers), Insect and Pesticide Research (4 papers) and Ferroptosis and cancer prognosis (4 papers). Chia-Ming Chang is often cited by papers focused on Ovarian cancer diagnosis and treatment (8 papers), Insect and Pesticide Research (4 papers) and Ferroptosis and cancer prognosis (4 papers). Chia-Ming Chang collaborates with scholars based in Taiwan, United States and South Africa. Chia-Ming Chang's co-authors include P.B. Hamilton, W.E. Huff, Peng‐Hui Wang, P. B. Hamilton, Mu-Hsien Yu, Cheng‐Chang Chang, Sean P. McDonough, Yung‐Fu Chang, M. Pollard and Fred W. Quimby and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and Applied and Environmental Microbiology.

In The Last Decade

Chia-Ming Chang

28 papers receiving 427 citations

Peers

Chia-Ming Chang
Comparison fields: 5 of 89
  • Plant Science 117
  • Molecular Biology 113
  • Reproductive Medicine 87
  • Immunology 70
  • Parasitology 60
Replace Tiffany Lin with:
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David P. Humber United Kingdom
Aashish Srivastava Norway
Wan Faiziah Wan Abdul Rahman Malaysia
Roy L. Kerlin United States
Rosette Megnekou Cameroon
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Reeta Rai India
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Tiffany Lin United States View profile →
Citations per field, relative to Chia-Ming Chang
Chia-Ming Chang · 1×
Citations per year, relative to Chia-Ming Chang
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Countries citing papers authored by Chia-Ming Chang

Since Specialization
Citations

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

Fields of papers citing papers by Chia-Ming Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chia-Ming Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Chia-Ming Chang. A scholar is included among the top collaborators of Chia-Ming 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 Chia-Ming Chang. Chia-Ming Chang 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 3
2 1
3 18
4 3
5 22
6 14
7 13
8 21
9 1
10 7
11 0
12 1
13 1
14 52
15 2
16 1
17 27
18 13
19 8
20 45

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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