Cassandra D. Belair
- Molecular Biology top 5%
- Cancer Research top 2%
- Oncology top 5%
- Immunology top 5%
- Physiology top 10%
- Co-authors
- Robert BlellochCatherine A. ReznikoffThomas R. YeagerTianyi HuLawrence FongMauro PoggioUrsula E. LangElizabeth Montabana
- Topics
- MicroRNA in disease regulation (5 papers)Bladder and Urothelial Cancer Treatments (4 papers)Cancer-related Molecular Pathways (4 papers)
- Cited by
- Cancer ResearchAgingOncology
- Partner nations
- United StatesDenmarkSouth Korea
In The Last Decade
Cassandra D. Belair
22 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Molecular Biology 1.7k
- Cancer Research 799
- Oncology 720
- Immunology 517
- Physiology 294
Countries citing papers authored by Cassandra D. Belair
This map shows the geographic impact of Cassandra D. Belair'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 Cassandra D. Belair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cassandra D. Belair more than expected).
Fields of papers citing papers by Cassandra D. Belair
This network shows the impact of papers produced by Cassandra D. Belair. 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 Cassandra D. Belair. The network helps show where Cassandra D. Belair may publish in the future.
Co-authorship network of co-authors of Cassandra D. Belair
This figure shows the co-authorship network connecting the top 25 collaborators of Cassandra D. Belair. A scholar is included among the top collaborators of Cassandra D. Belair 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 Cassandra D. Belair. Cassandra D. Belair is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 18 | |
| 3 | 11 | |
| 4 | Suppression of Exosomal PD-L1 Induces Systemic Anti-tumor Immunity and Memorybreakdown → | 1050 |
| 5 | 15 | |
| 6 | 17 | |
| 7 | 25 | |
| 8 | 10 | |
| 9 | 46 | |
| 10 | 21 | |
| 11 | 335 | |
| 12 | 18 | |
| 13 | 100 | |
| 14 | 21 | |
| 15 | 12 | |
| 16 | 112 | |
| 17 | A molecular genetic model of human bladder cancer pathogenesis. | 106 |
| 18 | 7 | |
| 19 | Increased p16 levels correlate with pRb alterations in human urothelial cells. | 107 |
| 20 | 107 |
About Cassandra D. Belair
Cassandra D. Belair is a scholar working on Cancer Research, Urology and Oncology, having authored 22 papers that have together received 2.5k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (5 papers), Bladder and Urothelial Cancer Treatments (4 papers) and Cancer-related Molecular Pathways (4 papers). The work is most often cited by research in Cancer Research (799 citations), Aging (52 citations) and Oncology (720 citations). Cassandra D. Belair has collaborated with scholars based in United States, Denmark and South Korea. Frequent co-authors include Robert Blelloch, Catherine A. Reznikoff, Thomas R. Yeager, Tianyi Hu, Lawrence Fong, Mauro Poggio, Ursula E. Lang, Elizabeth Montabana, Chien-Chun Steven Pai and Qi Fu. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Genes & Development.
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.