Chao-Nan Ting
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- IL-33, ST2, and ILC Pathways
- Molecular Biology top 10%
- Congenital heart defects research
- Epigenetics and DNA Methylation
- RNA modifications and cancer
Papers in
- Genetics 4
- Animal Genetics and Reproduction 4
- Virus-based gene therapy research 1
- Co-authors
- Jeffrey M. LeidenKevin BartonMiriam H. MeislerGökhan S. HotamışlıgilQiang TongGökhan DalginHaiyan XuMichael P. Rosenberg
- Journals
- Immunity (2 papers)Molecular and Cellular Biology (2 papers)Genes & Development (1 paper)Critical Reviews in Oral Biology & Medicine (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesPolandFinland
In The Last Decade
Chao-Nan Ting
10 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Immunology 721
- Molecular Biology 1.1k
- Hematology 128
- Cancer Research 139
- Physiology 239
Countries citing papers authored by Chao-Nan Ting
This map shows the geographic impact of Chao-Nan Ting'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 Chao-Nan Ting with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao-Nan Ting more than expected).
Fields of papers citing papers by Chao-Nan Ting
This network shows the impact of papers produced by Chao-Nan Ting. 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 Chao-Nan Ting. The network helps show where Chao-Nan Ting may publish in the future.
Co-authors
The 25 scholars most cited alongside Chao-Nan Ting, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 256 | |
| 2 | 2000 | 417 | |
| 3 | 1998 | 295 | |
| 4 | Transcription factor GATA-3 is required for development of the T-cell lineage Hit paper breakdown → | 1996 | 516 |
| 5 | 1994 | 18 | |
| 6 | 1994 | 42 | |
| 7 | 1994 | 157 | |
| 8 | 1993 | 50 | |
| 9 | 1992 | 221 | |
| 10 | 1988 | 37 |
About Chao-Nan Ting
Chao-Nan Ting is a scholar working on Genetics, Biotechnology, Molecular Biology, Immunology and Surgery, having authored 10 papers that have together received 2.0k indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (4 papers), Congenital heart defects research (4 papers), RNA modifications and cancer (3 papers), Epigenetics and DNA Methylation (2 papers), Immune Cell Function and Interaction (2 papers), RNA Research and Splicing (2 papers), Pancreatic function and diabetes (2 papers) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Immunology (721 citations), Molecular Biology (1.1k citations), Hematology (128 citations), Cancer Research (139 citations) and Physiology (239 citations). Chao-Nan Ting has collaborated with scholars based in United States, Poland and Finland. Frequent co-authors include Jeffrey M. Leiden, Kevin Barton, Miriam H. Meisler, Gökhan S. Hotamışlıgil, Qiang Tong, Gökhan Dalgin, Haiyan Xu, Michael P. Rosenberg, Linda C. Samuelson and Sung‐Yun Pai. Their work appears in journals such as Immunity, Molecular and Cellular Biology, Genes & Development, Critical Reviews in Oral Biology & Medicine and Journal of Biological Chemistry.
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.