Marissa S. Mattar
- Cancer Research top 10%
- Cancer Genomics and Diagnostics 6
- Oncology top 10%
- HER2/EGFR in Cancer Research 4
- Cancer Cells and Metastasis 3
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- Lung Cancer Treatments and Mutations 9
- Sarcoma Diagnosis and Treatment 3
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- PI3K/AKT/mTOR signaling in cancer 3
- Glycosylation and Glycoproteins Research 2
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- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Elisa de StanchinaCharles M. RudinNatasha RekhtmanMarc LadanyiInna KhodosRomel SomwarDana Pe’erJoan Massagué
- Cited by
- Cancer ResearchOncologyImmunology
- Journals
- Nature Medicine (1 paper)Nature Communications (1 paper)Journal of Clinical Oncology (3 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Marissa S. Mattar
21 papers receiving 651 citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Cancer Research 175
- Oncology 313
- Immunology 153
- Pulmonary and Respiratory Medicine 230
- Hepatology 43
Countries citing papers authored by Marissa S. Mattar
This map shows the geographic impact of Marissa S. Mattar'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 Marissa S. Mattar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marissa S. Mattar more than expected).
Fields of papers citing papers by Marissa S. Mattar
This network shows the impact of papers produced by Marissa S. Mattar. 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 Marissa S. Mattar. The network helps show where Marissa S. Mattar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marissa S. Mattar, 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 | 2024 | 6 | |
| 2 | 2022 | 6 | |
| 3 | 2022 | 7 | |
| 4 | 2022 | 27 | |
| 5 | 2021 | 31 | |
| 6 | 2021 | 21 | |
| 7 | 2021 | 5 | |
| 8 | 2021 | 1 | |
| 9 | 2021 | 3 | |
| 10 | 2020 | 24 | |
| 11 | Regenerative lineages and immune-mediated pruning in lung cancer metastasisbreakdown → | 2020 | 251 |
| 12 | 2020 | 8 | |
| 13 | 2020 | 41 | |
| 14 | 2019 | 1 | |
| 15 | 2018 | 83 | |
| 16 | 2018 | 35 | |
| 17 | 2016 | 55 | |
| 18 | 2016 | 19 | |
| 19 | 1997 | 11 | |
| 20 | 1983 | 29 |
About Marissa S. Mattar
Marissa S. Mattar is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Cancer Research, having authored 22 papers that have together received 666 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (9 papers), Cancer Genomics and Diagnostics (6 papers), HER2/EGFR in Cancer Research (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Cancer Cells and Metastasis (3 papers), Sarcoma Diagnosis and Treatment (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Cancer Research (175 citations), Oncology (313 citations) and Immunology (153 citations). Marissa S. Mattar has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Elisa de Stanchina, Charles M. Rudin, Natasha Rekhtman, Marc Ladanyi, Inna Khodos, Romel Somwar, Dana Pe’er, Joan Massagué, Viola Allaj and Jing Hu. Their work appears in journals such as Nature Medicine, Nature Communications and Journal of Clinical 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.