Donna A. Chow
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Immunology
- Oncology
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- N. Siveski-IliskovicPawan K. SingalMichael D. HillHarry B. GreenbergIstván BercziL BertókM I GreeneE Sabbadini
- Topics
- Monoclonal and Polyclonal Antibodies Research (11 papers)Immune Cell Function and Interaction (10 papers)T-cell and B-cell Immunology (6 papers)
- Partner nations
- CanadaUnited StatesHong Kong
In The Last Decade
Donna A. Chow
33 papers receiving 542 citations
Peers
Comparison fields: 5 of 82
- Cardiology and Cardiovascular Medicine 172
- Molecular Biology 160
- Immunology 156
- Oncology 149
- Radiology, Nuclear Medicine and Imaging 115
Countries citing papers authored by Donna A. Chow
This map shows the geographic impact of Donna A. Chow'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 Donna A. Chow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Donna A. Chow more than expected).
Fields of papers citing papers by Donna A. Chow
This network shows the impact of papers produced by Donna A. Chow. 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 Donna A. Chow. The network helps show where Donna A. Chow may publish in the future.
Co-authorship network of co-authors of Donna A. Chow
This figure shows the co-authorship network connecting the top 25 collaborators of Donna A. Chow. A scholar is included among the top collaborators of Donna A. Chow based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Donna A. Chow. Donna A. Chow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 33 | |
| 5 | 4 | |
| 6 | Natural antibody surveillance of neoplastic and activated cells | 6 |
| 7 | 29 | |
| 8 | 6 | |
| 9 | p21ras independent down-regulation of ras-induced increases in natural antibody binding during tumor progression. | 2 |
| 10 | Phorbol ester tumor promoter regulation of natural antitumor antibody binding depends on protein kinase C and an intact microfilament system. | 2 |
| 11 | Tumor progression in vivo: increased soybean agglutinin lectin binding, N-acetylgalactosamine-specific lectin expression, and liver metastasis potential. | 12 |
| 12 | 5 | |
| 13 | 1 | |
| 14 | 2 | |
| 15 | 21 | |
| 16 | 5 | |
| 17 | 2 | |
| 18 | 5 | |
| 19 | 6 | |
| 20 | 6 |
About Donna A. Chow
Donna A. Chow is a scholar working on Immunology, Biotechnology and Radiology, Nuclear Medicine and Imaging, having authored 34 papers that have together received 584 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (11 papers), Immune Cell Function and Interaction (10 papers) and T-cell and B-cell Immunology (6 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (172 citations), Immunology (156 citations) and Biophysics (32 citations). Donna A. Chow has collaborated with scholars based in Canada, United States and Hong Kong. Frequent co-authors include N. Siveski-Iliskovic, Pawan K. Singal, Michael D. Hill, Harry B. Greenberg, István Berczi, L Bertók, M I Greene, E Sabbadini, David F. Tough and Arnold H. Greenberg. Their work appears in journals such as Circulation, Journal of Clinical Oncology and Blood.
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.