Barbara Muz
Impact in
- Cancer Research top 2%
- Cancer, Hypoxia, and Metabolism
- Hematology top 2%
- Multiple Myeloma Research and Treatments
Papers in
- Hematology 25
- Multiple Myeloma Research and Treatments 23
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- Protein Degradation and Inhibitors 6
- Co-authors
- Abdel Kareem Azab (50 shared papers)Pilar de la Puente (30 shared papers)Feda Azab (22 shared papers)Micah John Luderer (13 shared papers)Ewa Paleolog (4 shared papers)Ravi Vij (21 shared papers)Jennifer Sun (16 shared papers)Serafim Kiriakidis (2 shared papers)
- Journals
- Blood (11 papers)Cancer Research (3 papers)Cancer Biology & Therapy (2 papers)Pharmaceutical Research (2 papers)Cancers (2 papers)
- Partner nations
- United StatesEgyptUnited Kingdom
In The Last Decade
Barbara Muz
57 papers receiving 2.9k citations
Barbara Muz's Hit Papers
Peers
Comparison fields: 5 of 112
- Cancer Research 828
- Hematology 371
- Oncology 713
- Immunology 440
- Molecular Biology 1.2k
Countries citing papers authored by Barbara Muz
This map shows the geographic impact of Barbara Muz'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 Barbara Muz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Muz more than expected).
Fields of papers citing papers by Barbara Muz
This network shows the impact of papers produced by Barbara Muz. 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 Barbara Muz. The network helps show where Barbara Muz may publish in the future.
Co-authors
The 25 scholars most cited alongside Barbara Muz, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The role of hypoxia in cancer progression, angiogenesis, metastasis, and resistance to therapy Hit paper breakdown → | 2015 | 1559 |
| 2 | 2015 | 105 | |
| 3 | 2016 | 102 | |
| 4 | 2009 | 96 | |
| 5 | 2013 | 90 | |
| 6 | 2020 | 68 | |
| 7 | 2022 | 61 | |
| 8 | 2017 | 60 | |
| 9 | 2020 | 50 | |
| 10 | 2017 | 49 | |
| 11 | 2014 | 48 | |
| 12 | 2021 | 48 | |
| 13 | 2021 | 44 | |
| 14 | 2012 | 41 | |
| 15 | 2014 | 41 | |
| 16 | 2014 | 35 | |
| 17 | 2012 | 34 | |
| 18 | 2019 | 31 | |
| 19 | 2014 | 27 | |
| 20 | 2017 | 26 |
About Barbara Muz
Barbara Muz is a scholar working on Hematology, Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 58 papers that have together received 2.9k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (23 papers), Cancer, Hypoxia, and Metabolism (7 papers), Protein Degradation and Inhibitors (6 papers), Immunotherapy and Immune Responses (5 papers), Boron Compounds in Chemistry (5 papers), CAR-T cell therapy research (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Cell Adhesion Molecules Research (4 papers). The work is most often cited by research in Cancer Research (828 citations), Hematology (371 citations), Oncology (713 citations), Immunology (440 citations) and Molecular Biology (1.2k citations). Barbara Muz has collaborated with scholars based in United States, Egypt and United Kingdom. Frequent co-authors include Abdel Kareem Azab, Pilar de la Puente, Feda Azab, Micah John Luderer, Ewa Paleolog, Ravi Vij, Jennifer Sun, Serafim Kiriakidis, Justin King and Kinan Alhallak. Their work appears in journals such as Blood, Cancer Research, Cancer Biology & Therapy, Pharmaceutical Research and Cancers.
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.