Ying Chang
Impact in
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism
- Biochemical Acid Research Studies
- Clinical Biochemistry top 10%
- Metabolism and Genetic Disorders
Papers in
-
- Cancer therapeutics and mechanisms 2
- Epigenetics and DNA Methylation 2
- Pluripotent Stem Cells Research 2
- Genetics 5
- Bacterial Genetics and Biotechnology 5
- Co-authors
- John E. Cronan (6 shared papers)Wei Ang (8 shared papers)Youfu Luo (8 shared papers)Tao Yang (7 shared papers)Tina K. Van Dyk (1 shared paper)Yuquan Wei (5 shared papers)Dana R. Smulski (1 shared paper)Zitai Sang (2 shared papers)
- Journals
- Journal of Bacteriology (6 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)Nanoscale (2 papers)European Journal of Medicinal Chemistry (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Ying Chang
19 papers receiving 379 citations
Peers
Comparison fields: 5 of 81
- Biochemistry 103
- Clinical Biochemistry 42
- Molecular Biology 251
- Pharmacology 28
- Biological Psychiatry 8
Countries citing papers authored by Ying Chang
This map shows the geographic impact of Ying 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 Ying Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Chang more than expected).
Fields of papers citing papers by Ying Chang
This network shows the impact of papers produced by Ying 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 Ying Chang. The network helps show where Ying Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1982 | 66 | |
| 2 | 1983 | 63 | |
| 3 | 1988 | 62 | |
| 4 | 2014 | 39 | |
| 5 | 2015 | 31 | |
| 6 | 1987 | 27 | |
| 7 | 1986 | 19 | |
| 8 | 2014 | 16 | |
| 9 | 1989 | 16 | |
| 10 | 2012 | 12 | |
| 11 | 2016 | 11 | |
| 12 | 2014 | 8 | |
| 13 | 2013 | 7 | |
| 14 | 1991 | 7 | |
| 15 | 2023 | 4 | |
| 16 | 2019 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2013 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 0 |
About Ying Chang
Ying Chang is a scholar working on Molecular Biology, Genetics, Biochemistry, Organic Chemistry and Clinical Biochemistry, having authored 21 papers that have together received 397 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (5 papers), Amino Acid Enzymes and Metabolism (5 papers), Metabolism and Genetic Disorders (3 papers), Cancer therapeutics and mechanisms (2 papers), Epigenetics and DNA Methylation (2 papers), Pluripotent Stem Cells Research (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Stress Responses and Cortisol (2 papers). The work is most often cited by research in Biochemistry (103 citations), Clinical Biochemistry (42 citations), Molecular Biology (251 citations), Pharmacology (28 citations) and Biological Psychiatry (8 citations). Ying Chang has collaborated with scholars based in China, United States and Italy. Frequent co-authors include John E. Cronan, Wei Ang, Youfu Luo, Tao Yang, Tina K. Van Dyk, Yuquan Wei, Dana R. Smulski, Zitai Sang, C Grabau and Changyang Gong. Their work appears in journals such as Journal of Bacteriology, Bioorganic & Medicinal Chemistry Letters, Nanoscale, European Journal of Medicinal Chemistry and Scientific Reports.
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.