Chi‐Ling Chiang
Impact in
- Biotechnology top 5%
- Microbial Inactivation Methods
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
-
- RNA Interference and Gene Delivery 6
- Extracellular vesicles in disease 5
- Sphingolipid Metabolism and Signaling 4
-
- Microfluidic and Bio-sensing Technologies 13
- 3D Printing in Biomedical Research 5
- Co-authors
- L. James Lee (13 shared papers)Zhaogang Yang (6 shared papers)Lingqian Chang (9 shared papers)Wu Lu (8 shared papers)Daniel Gallego‐Perez (6 shared papers)Hsinyu Lee (7 shared papers)Tairong Kuang (4 shared papers)Andrew M. Wo (5 shared papers)
- Journals
- Blood (5 papers)Lab on a Chip (4 papers)Small (3 papers)Nanoscale (2 papers)Scientific Reports (2 papers)
- Partner nations
- United StatesTaiwanChina
In The Last Decade
Chi‐Ling Chiang
35 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 95
- Biotechnology 169
- Cancer Research 212
- Biomedical Engineering 590
- Molecular Biology 559
- Biomaterials 98
Countries citing papers authored by Chi‐Ling Chiang
This map shows the geographic impact of Chi‐Ling Chiang'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 Chi‐Ling Chiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi‐Ling Chiang more than expected).
Fields of papers citing papers by Chi‐Ling Chiang
This network shows the impact of papers produced by Chi‐Ling Chiang. 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 Chi‐Ling Chiang. The network helps show where Chi‐Ling Chiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chi‐Ling Chiang, 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 189 | |
| 2 | 2015 | 92 | |
| 3 | 2015 | 89 | |
| 4 | 2014 | 82 | |
| 5 | 2016 | 69 | |
| 6 | 2023 | 68 | |
| 7 | 2013 | 59 | |
| 8 | 2011 | 52 | |
| 9 | 2016 | 52 | |
| 10 | 2012 | 46 | |
| 11 | 2014 | 41 | |
| 12 | 2011 | 38 | |
| 13 | 2015 | 38 | |
| 14 | 2021 | 37 | |
| 15 | 2019 | 36 | |
| 16 | 2022 | 36 | |
| 17 | 2015 | 30 | |
| 18 | 2016 | 25 | |
| 19 | 2024 | 22 | |
| 20 | 2015 | 20 |
About Chi‐Ling Chiang
Chi‐Ling Chiang is a scholar working on Molecular Biology, Biomedical Engineering, Biotechnology, Genetics and Immunology, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include Microfluidic and Bio-sensing Technologies (13 papers), Microbial Inactivation Methods (9 papers), RNA Interference and Gene Delivery (6 papers), Extracellular vesicles in disease (5 papers), Chronic Lymphocytic Leukemia Research (5 papers), MicroRNA in disease regulation (5 papers), 3D Printing in Biomedical Research (5 papers) and Sphingolipid Metabolism and Signaling (4 papers). The work is most often cited by research in Biotechnology (169 citations), Cancer Research (212 citations), Biomedical Engineering (590 citations), Molecular Biology (559 citations) and Biomaterials (98 citations). Chi‐Ling Chiang has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include L. James Lee, Zhaogang Yang, Lingqian Chang, Wu Lu, Daniel Gallego‐Perez, Hsinyu Lee, Tairong Kuang, Andrew M. Wo, Paul Bertani and Veysi Malkoc. Their work appears in journals such as Blood, Lab on a Chip, Small, Nanoscale 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.