Jackie Cheng
Impact in
- Cell Biology top 5%
- Cellular transport and secretion
- Cellular Mechanics and Interactions
- Zebrafish Biomedical Research Applications
Papers in
-
- Glycosylation and Glycoproteins Research 1
-
- Cellular transport and secretion 2
- Zebrafish Biomedical Research Applications 2
- Proteoglycans and glycosaminoglycans research 2
- Co-authors
- David G. Drubin (2 shared papers)Andrew L. Miller (2 shared papers)Sarah Webb (2 shared papers)Alexandre Grassart (1 shared paper)Jeffrey B. Doyon (1 shared paper)Edward J. Rebar (1 shared paper)Thuy D. Vo (1 shared paper)Jeffrey C. Miller (1 shared paper)
- Journals
- Molecular Cancer Therapeutics (2 papers)Journal of Vision (1 paper)Molecular Biology of the Cell (1 paper)Pharmaceutical Research (1 paper)Antibodies (1 paper)
- Partner nations
- United StatesHong KongFrance
In The Last Decade
Jackie Cheng
9 papers receiving 458 citations
Peers
Comparison fields: 5 of 71
- Cell Biology 237
- Structural Biology 7
- Immunology and Allergy 27
- Biophysics 26
- Molecular Biology 280
Countries citing papers authored by Jackie Cheng
This map shows the geographic impact of Jackie Cheng'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 Jackie Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jackie Cheng more than expected).
Fields of papers citing papers by Jackie Cheng
This network shows the impact of papers produced by Jackie Cheng. 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 Jackie Cheng. The network helps show where Jackie Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Jackie Cheng, 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 | 2011 | 186 | |
| 2 | 2004 | 97 | |
| 3 | 2012 | 78 | |
| 4 | 2020 | 42 | |
| 5 | 2014 | 28 | |
| 6 | 1991 | 27 | |
| 7 | 2002 | 3 | |
| 8 | 2024 | 2 | |
| 9 | 2025 | 1 | |
| 10 | 2023 | 0 | |
| 11 | 2010 | 0 |
About Jackie Cheng
Jackie Cheng is a scholar working on Molecular Biology, Cell Biology, Oncology, Radiology, Nuclear Medicine and Imaging and Computer Networks and Communications, having authored 11 papers that have together received 464 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), HER2/EGFR in Cancer Research (3 papers), Cellular transport and secretion (2 papers), Zebrafish Biomedical Research Applications (2 papers), Proteoglycans and glycosaminoglycans research (2 papers), Hypothalamic control of reproductive hormones (1 paper), Color perception and design (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Cell Biology (237 citations), Structural Biology (7 citations), Immunology and Allergy (27 citations), Biophysics (26 citations) and Molecular Biology (280 citations). Jackie Cheng has collaborated with scholars based in United States, Hong Kong and France. Frequent co-authors include David G. Drubin, Andrew L. Miller, Sarah Webb, Alexandre Grassart, Jeffrey B. Doyon, Edward J. Rebar, Thuy D. Vo, Jeffrey C. Miller, Philip D. Gregory and Jennifer M. Cherone. Their work appears in journals such as Molecular Cancer Therapeutics, Journal of Vision, Molecular Biology of the Cell, Pharmaceutical Research and Antibodies.
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.