Aisha Masood
Impact in
-
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research
Papers in
- Oncology 18
- CAR-T cell therapy research 14
-
- Protein Degradation and Inhibitors 6
- Melanoma and MAPK Pathways 4
- Cell death mechanisms and regulation 4
- Co-authors
- Sabah Sallah (1 shared paper)Asher Chanan‐Khan (14 shared papers)Mehul Patel (1 shared paper)Priya Patel (1 shared paper)Taimur Sher (10 shared papers)Aneel Paulus (7 shared papers)Kasyapa S. Chitta (7 shared papers)Kena C. Miller (8 shared papers)
- Journals
- Blood (8 papers)Journal of Clinical Oncology (5 papers)British Journal of Haematology (4 papers)Cancer (1 paper)Future Oncology (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Aisha Masood
35 papers receiving 460 citations
Peers
Comparison fields: 5 of 73
- Oncology 232
- Genetics 89
- Hematology 66
- Infectious Diseases 73
- Pathology and Forensic Medicine 67
Countries citing papers authored by Aisha Masood
This map shows the geographic impact of Aisha Masood'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 Aisha Masood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aisha Masood more than expected).
Fields of papers citing papers by Aisha Masood
This network shows the impact of papers produced by Aisha Masood. 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 Aisha Masood. The network helps show where Aisha Masood may publish in the future.
Co-authors
The 25 scholars most cited alongside Aisha Masood, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 75 | |
| 2 | 2011 | 58 | |
| 3 | 2009 | 54 | |
| 4 | 2020 | 48 | |
| 5 | 2019 | 25 | |
| 6 | 2012 | 24 | |
| 7 | 2011 | 24 | |
| 8 | 2013 | 20 | |
| 9 | 2012 | 19 | |
| 10 | 2011 | 17 | |
| 11 | 2022 | 15 | |
| 12 | 2022 | 12 | |
| 13 | 2011 | 10 | |
| 14 | 2021 | 10 | |
| 15 | 2014 | 6 | |
| 16 | 2020 | 6 | |
| 17 | 2013 | 5 | |
| 18 | 2017 | 5 | |
| 19 | 2021 | 4 | |
| 20 | 2011 | 4 |
About Aisha Masood
Aisha Masood is a scholar working on Oncology, Molecular Biology, Genetics, Pathology and Forensic Medicine and Hematology, having authored 35 papers that have together received 465 indexed citations. Recurring topics across this work include CAR-T cell therapy research (14 papers), Chronic Lymphocytic Leukemia Research (10 papers), Lymphoma Diagnosis and Treatment (9 papers), Multiple Myeloma Research and Treatments (8 papers), Protein Degradation and Inhibitors (6 papers), Melanoma and MAPK Pathways (4 papers), Cell death mechanisms and regulation (4 papers) and Acute Lymphoblastic Leukemia research (3 papers). The work is most often cited by research in Oncology (232 citations), Genetics (89 citations), Hematology (66 citations), Infectious Diseases (73 citations) and Pathology and Forensic Medicine (67 citations). Aisha Masood has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Sabah Sallah, Asher Chanan‐Khan, Mehul Patel, Priya Patel, Taimur Sher, Aneel Paulus, Kasyapa S. Chitta, Kena C. Miller, Abhisek Swaika and Kelvin H. Lee. Their work appears in journals such as Blood, Journal of Clinical Oncology, British Journal of Haematology, Cancer and Future Oncology.
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.