Umbreen Hafeez
Impact in
- Oncology top 10%
- HER2/EGFR in Cancer Research
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
-
- Monoclonal and Polyclonal Antibodies Research
Papers in
-
- Monoclonal and Polyclonal Antibodies Research 3
- Radiomics and Machine Learning in Medical Imaging 2
- Genetics 4
- Glioma Diagnosis and Treatment 3
- Co-authors
- Hui Gan (9 shared papers)Andrew M. Scott (4 shared papers)Sagun Parakh (6 shared papers)Adam Parslow (1 shared paper)Lawrence Cher (6 shared papers)Priscilla K. Brastianos (1 shared paper)Franziska M. Ippen (1 shared paper)Ahmed H. Abdelhafiz (1 shared paper)
- Journals
- Neuro-Oncology Advances (2 papers)Journal of Neuro-Oncology (2 papers)Expert Opinion on Biological Therapy (1 paper)Expert Review of Anticancer Therapy (1 paper)Molecules (1 paper)
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Umbreen Hafeez
14 papers receiving 485 citations
Umbreen Hafeez's Hit Papers
Peers
Comparison fields: 5 of 70
- Oncology 245
- Radiology, Nuclear Medicine and Imaging 176
- Immunology 79
- Genetics 29
- Biotechnology 22
Countries citing papers authored by Umbreen Hafeez
This map shows the geographic impact of Umbreen Hafeez'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 Umbreen Hafeez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Umbreen Hafeez more than expected).
Fields of papers citing papers by Umbreen Hafeez
This network shows the impact of papers produced by Umbreen Hafeez. 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 Umbreen Hafeez. The network helps show where Umbreen Hafeez may publish in the future.
Co-authors
The 23 scholars most cited alongside Umbreen Hafeez, 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 | Antibody–Drug Conjugates for Cancer Therapy Hit paper breakdown → | 2020 | 297 |
| 2 | 2018 | 121 | |
| 3 | 2020 | 18 | |
| 4 | 2022 | 13 | |
| 5 | 2018 | 10 | |
| 6 | 2010 | 8 | |
| 7 | 2016 | 7 | |
| 8 | 2020 | 6 | |
| 9 | 2023 | 4 | |
| 10 | 2019 | 2 | |
| 11 | 2019 | 1 | |
| 12 | 2024 | 1 | |
| 13 | 2022 | 1 | |
| 14 | 2024 | 1 |
About Umbreen Hafeez
Umbreen Hafeez is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics, Oncology, Molecular Biology and Epidemiology, having authored 14 papers that have together received 490 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), Glioma Diagnosis and Treatment (3 papers), HER2/EGFR in Cancer Research (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Toxin Mechanisms and Immunotoxins (1 paper), Neuroendocrine Tumor Research Advances (1 paper), Brain Metastases and Treatment (1 paper) and Meningioma and schwannoma management (1 paper). The work is most often cited by research in Oncology (245 citations), Radiology, Nuclear Medicine and Imaging (176 citations), Immunology (79 citations), Genetics (29 citations) and Biotechnology (22 citations). Umbreen Hafeez has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Hui Gan, Andrew M. Scott, Sagun Parakh, Adam Parslow, Lawrence Cher, Priscilla K. Brastianos, Franziska M. Ippen, Ahmed H. Abdelhafiz, Adithya Balasubramanian and Ashray Gunjur. Their work appears in journals such as Neuro-Oncology Advances, Journal of Neuro-Oncology, Expert Opinion on Biological Therapy, Expert Review of Anticancer Therapy and Molecules.
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.