Chingwen Ying
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
- Pollution top 10%
- Pharmaceutical and Antibiotic Environmental Impacts
Papers in
-
- RNA Research and Splicing 4
- DNA and Nucleic Acid Chemistry 3
- Genetics 16
- Estrogen and related hormone effects 10
- Bacterial Genetics and Biotechnology 4
- Co-authors
- Jih‐Tay Hsu (16 shared papers)George Ordal (5 shared papers)Wei‐Liang Chao (5 shared papers)Aamir Zuberi (3 shared papers)Wei‐Lun Hsu (4 shared papers)Han‐Tsung Wang (1 shared paper)C. Chen (1 shared paper)Yung‐Hsin Liu (1 shared paper)
- Journals
- Journal of Bacteriology (3 papers)Asian-Australasian Journal of Animal Sciences (2 papers)Molecular and Cellular Endocrinology (2 papers)Gene (1 paper)Aquaculture (1 paper)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Chingwen Ying
33 papers receiving 656 citations
Peers
Comparison fields: 5 of 90
- Molecular Medicine 67
- Pollution 133
- Genetics 212
- Agronomy and Crop Science 73
- Endocrinology 34
Countries citing papers authored by Chingwen Ying
This map shows the geographic impact of Chingwen Ying'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 Chingwen Ying with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chingwen Ying more than expected).
Fields of papers citing papers by Chingwen Ying
This network shows the impact of papers produced by Chingwen Ying. 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 Chingwen Ying. The network helps show where Chingwen Ying may publish in the future.
Co-authors
The 25 scholars most cited alongside Chingwen Ying, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 116 | |
| 2 | 1993 | 49 | |
| 3 | 2002 | 47 | |
| 4 | 1999 | 38 | |
| 5 | 2018 | 35 | |
| 6 | 1990 | 33 | |
| 7 | 2000 | 30 | |
| 8 | 2002 | 29 | |
| 9 | 2018 | 28 | |
| 10 | 1991 | 28 | |
| 11 | 2006 | 26 | |
| 12 | 1990 | 25 | |
| 13 | 2004 | 20 | |
| 14 | 1999 | 18 | |
| 15 | 1999 | 14 | |
| 16 | 2000 | 14 | |
| 17 | 1996 | 14 | |
| 18 | 2000 | 13 | |
| 19 | 2019 | 13 | |
| 20 | 2001 | 12 |
About Chingwen Ying
Chingwen Ying is a scholar working on Molecular Biology, Genetics, Pathology and Forensic Medicine, Ecology and Immunology, having authored 35 papers that have together received 679 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (10 papers), Phytoestrogen effects and research (7 papers), Aquaculture disease management and microbiota (5 papers), RNA Research and Splicing (4 papers), Bacterial Genetics and Biotechnology (4 papers), Pharmaceutical and Antibiotic Environmental Impacts (4 papers), Bacteriophages and microbial interactions (4 papers) and DNA and Nucleic Acid Chemistry (3 papers). The work is most often cited by research in Molecular Medicine (67 citations), Pollution (133 citations), Genetics (212 citations), Agronomy and Crop Science (73 citations) and Endocrinology (34 citations). Chingwen Ying has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Jih‐Tay Hsu, George Ordal, Wei‐Liang Chao, Aamir Zuberi, Wei‐Lun Hsu, Han‐Tsung Wang, C. Chen, Yung‐Hsin Liu, Jack Gorski and Shinn‐Lih Yeh. Their work appears in journals such as Journal of Bacteriology, Asian-Australasian Journal of Animal Sciences, Molecular and Cellular Endocrinology, Gene and Aquaculture.
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.