Magda Sgagias
- Molecular Biology top 10%
- Oncology top 5%
- Genetics top 10%
- Cancer Research top 10%
- Cell Biology
- Co-authors
- Kenneth H. CowanRonit I. YardenLawrence C. BrodyMin KimDavid N. DanforthYing YanMaokaı̈ GongMichael Dean
- Topics
- Cancer Research and Treatments (4 papers)Cancer-related Molecular Pathways (4 papers)DNA Repair Mechanisms (3 papers)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Magda Sgagias
13 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 843
- Oncology 530
- Genetics 279
- Cancer Research 169
- Cell Biology 108
Countries citing papers authored by Magda Sgagias
This map shows the geographic impact of Magda Sgagias'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 Magda Sgagias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Magda Sgagias more than expected).
Fields of papers citing papers by Magda Sgagias
This network shows the impact of papers produced by Magda Sgagias. 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 Magda Sgagias. The network helps show where Magda Sgagias may publish in the future.
Co-authorship network of co-authors of Magda Sgagias
This figure shows the co-authorship network connecting the top 25 collaborators of Magda Sgagias. A scholar is included among the top collaborators of Magda Sgagias 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 Magda Sgagias. Magda Sgagias is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 11 | |
| 3 | 382 | |
| 4 | The multidrug resistance transporter ABCG2 (breast cancer resistance protein 1) effluxes Hoechst 33342 and is overexpressed in hematopoietic stem cells. | 313 |
| 5 | 26 | |
| 6 | 29 | |
| 7 | 177 | |
| 8 | 58 | |
| 9 | Tumor necrosis factor alpha enhances secretion of transforming growth factor beta2 in MCF-7 breast cancer cells. | 16 |
| 10 | Interleukin-1 alpha and interleukin-6 act additively to inhibit growth of MCF-7 breast cancer cells in vitro. | 65 |
| 11 | 21 | |
| 12 | The integration of tumor associated antigens in cancer management. | 3 |
| 13 | Isotopic immunoglobulin in an integrated multimodal treatment program for a primary liver cancer: a case report. | 15 |
About Magda Sgagias
Magda Sgagias is a scholar working on Biotechnology, Oncology and Cancer Research, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer Research and Treatments (4 papers), Cancer-related Molecular Pathways (4 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Oncology (530 citations), Molecular Biology (843 citations) and Cancer Research (169 citations). Magda Sgagias has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Kenneth H. Cowan, Ronit I. Yarden, Lawrence C. Brody, Min Kim, David N. Danforth, Ying Yan, Maokaı̈ Gong, Michael Dean, John Sharp and Hēth Turnquist. Their work appears in journals such as Journal of Biological Chemistry, Nature Genetics and Oncogene.
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.