Maya Aslam
Impact in
-
- Radiopharmaceutical Chemistry and Applications
Papers in
- Oncology 3
- Peptidase Inhibition and Analysis 2
- Pancreatic and Hepatic Oncology Research 1
-
- Medical Imaging Techniques and Applications 1
- Radiopharmaceutical Chemistry and Applications 1
- Co-authors
- Thomas A. Hope (3 shared papers)Miguel Hernandez Pampaloni (2 shared papers)Courtney A. Lawhn-Heath (1 shared paper)Jason Wei Siang Chan (1 shared paper)Raven Smith (1 shared paper)Christine M. Glastonbury (1 shared paper)Sue S. Yom (1 shared paper)Javier E. Villanueva-Meyer (1 shared paper)
- Journals
- Journal of Nuclear Medicine (2 papers)Science Translational Medicine (1 paper)Nature Communications (1 paper)The Lancet Oncology (1 paper)EJNMMI Research (1 paper)
- Partner nations
- United StatesNetherlandsCanada
In The Last Decade
Maya Aslam
6 papers receiving 235 citations
Maya Aslam's Hit Papers
Peers
Comparison fields: 5 of 46
- Radiology, Nuclear Medicine and Imaging 72
- Critical Care and Intensive Care Medicine 13
- Nephrology 18
- Neurology 36
- Pulmonary and Respiratory Medicine 64
Countries citing papers authored by Maya Aslam
This map shows the geographic impact of Maya Aslam'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 Maya Aslam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Aslam more than expected).
Fields of papers citing papers by Maya Aslam
This network shows the impact of papers produced by Maya Aslam. 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 Maya Aslam. The network helps show where Maya Aslam may publish in the future.
Co-authors
The 25 scholars most cited alongside Maya Aslam, 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 | Tissue-based T cell activation and viral RNA persist for up to 2 years after SARS-CoV-2 infection Hit paper breakdown → | 2024 | 63 |
| 2 | 2023 | 62 | |
| 3 | 2020 | 37 | |
| 4 | 2022 | 36 | |
| 5 | 2024 | 22 | |
| 6 | 2021 | 18 |
About Maya Aslam
Maya Aslam is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Virology, Critical Care and Intensive Care Medicine and Nephrology, having authored 6 papers that have together received 238 indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (2 papers), COVID-19 Clinical Research Studies (1 paper), Medical Imaging Techniques and Applications (1 paper), Parathyroid Disorders and Treatments (1 paper), Radiopharmaceutical Chemistry and Applications (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Long-Term Effects of COVID-19 (1 paper) and Protease and Inhibitor Mechanisms (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (72 citations), Critical Care and Intensive Care Medicine (13 citations), Nephrology (18 citations), Neurology (36 citations) and Pulmonary and Respiratory Medicine (64 citations). Maya Aslam has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Thomas A. Hope, Miguel Hernandez Pampaloni, Courtney A. Lawhn-Heath, Jason Wei Siang Chan, Raven Smith, Christine M. Glastonbury, Sue S. Yom, Javier E. Villanueva-Meyer, Chien‐Ying Liu and Roxanna Juarez. Their work appears in journals such as Journal of Nuclear Medicine, Science Translational Medicine, Nature Communications, The Lancet Oncology and EJNMMI Research.
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.