Mayar Allam
Impact in
- Biophysics top 10%
- Cell Image Analysis Techniques
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- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
Papers in
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- Single-cell and spatial transcriptomics 8
- Metabolomics and Mass Spectrometry Studies 3
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- Cell Image Analysis Techniques 5
- Co-authors
- Ahmet F. Coskun (12 shared papers)Shuangyi Cai (8 shared papers)Thomas Hu (8 shared papers)Walter Henderson (2 shared papers)Maryam Afkarian (1 shared paper)Harpinder Saini (2 shared papers)Robert Ros (2 shared papers)Kiarash Rahmani Eliato (2 shared papers)
- Journals
- npj Precision Oncology (2 papers)Nature Communications (1 paper)Trends in cancer (1 paper)Nature reviews. Immunology (1 paper)iScience (1 paper)
- Partner nations
- United States
In The Last Decade
Mayar Allam
16 papers receiving 381 citations
Peers
Comparison fields: 5 of 87
- Biophysics 39
- Oncology 89
- Immunology 69
- Cancer Research 45
- Modeling and Simulation 11
Countries citing papers authored by Mayar Allam
This map shows the geographic impact of Mayar Allam'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 Mayar Allam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayar Allam more than expected).
Fields of papers citing papers by Mayar Allam
This network shows the impact of papers produced by Mayar Allam. 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 Mayar Allam. The network helps show where Mayar Allam may publish in the future.
Co-authors
The 25 scholars most cited alongside Mayar Allam, 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 | 2023 | 84 | |
| 2 | 2020 | 71 | |
| 3 | 2020 | 65 | |
| 4 | 2021 | 40 | |
| 5 | 2020 | 40 | |
| 6 | 2018 | 32 | |
| 7 | 2022 | 27 | |
| 8 | 2021 | 8 | |
| 9 | 2020 | 7 | |
| 10 | 2022 | 4 | |
| 11 | 2023 | 2 | |
| 12 | 2022 | 2 | |
| 13 | 2018 | 2 | |
| 14 | 2024 | 1 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 1 |
About Mayar Allam
Mayar Allam is a scholar working on Molecular Biology, Biophysics, Oncology, Infectious Diseases and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 387 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (8 papers), Cell Image Analysis Techniques (5 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Cancer Cells and Metastasis (2 papers), 3D Printing in Biomedical Research (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Biophysics (39 citations), Oncology (89 citations), Immunology (69 citations), Cancer Research (45 citations) and Modeling and Simulation (11 citations). Mayar Allam has collaborated with scholars based in United States. Frequent co-authors include Ahmet F. Coskun, Shuangyi Cai, Thomas Hu, Walter Henderson, Maryam Afkarian, Harpinder Saini, Robert Ros, Kiarash Rahmani Eliato, Anton V. Ievlev and Ghassan Mouneimne. Their work appears in journals such as npj Precision Oncology, Nature Communications, Trends in cancer, Nature reviews. Immunology and iScience.
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.