Emanuelle M. Rizk
Impact in
-
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Cutaneous Melanoma Detection and Management
-
- Immunotherapy and Immune Responses
Papers in
- Oncology 11
- Cancer Immunotherapy and Biomarkers 6
- CAR-T cell therapy research 5
- Cutaneous Melanoma Detection and Management 3
-
- Immunotherapy and Immune Responses 6
- Co-authors
- Yvonne M. Saenger (14 shared papers)Robyn D. Gartrell (12 shared papers)Jaya Sarin Pradhan (5 shared papers)Swati Gupta (1 shared paper)Bonnie Gould Rothberg (1 shared paper)Luke W. Barker (5 shared papers)Balázs Ács (2 shared papers)Pok Fai Wong (1 shared paper)
- Journals
- Journal of Clinical Oncology (4 papers)Hematology/Oncology Clinics of North America (1 paper)Journal of the American Academy of Dermatology (1 paper)Melanoma Research (1 paper)Nature Communications (1 paper)
- Partner nations
- United StatesCanadaSwitzerland
In The Last Decade
Emanuelle M. Rizk
16 papers receiving 220 citations
Peers
Comparison fields: 5 of 51
- Oncology 110
- Immunology 56
- Biophysics 8
- Cancer Research 16
- Genetics 24
Countries citing papers authored by Emanuelle M. Rizk
This map shows the geographic impact of Emanuelle M. Rizk'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 Emanuelle M. Rizk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emanuelle M. Rizk more than expected).
Fields of papers citing papers by Emanuelle M. Rizk
This network shows the impact of papers produced by Emanuelle M. Rizk. 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 Emanuelle M. Rizk. The network helps show where Emanuelle M. Rizk may publish in the future.
Co-authors
The 25 scholars most cited alongside Emanuelle M. Rizk, 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 | 2019 | 67 | |
| 2 | 2018 | 37 | |
| 3 | 2019 | 26 | |
| 4 | 2020 | 17 | |
| 5 | 2019 | 17 | |
| 6 | 2019 | 17 | |
| 7 | 2020 | 11 | |
| 8 | 2020 | 5 | |
| 9 | 2019 | 5 | |
| 10 | 2022 | 4 | |
| 11 | 2023 | 4 | |
| 12 | 2023 | 3 | |
| 13 | 2019 | 3 | |
| 14 | 2020 | 2 | |
| 15 | 2021 | 2 | |
| 16 | 2018 | 1 | |
| 17 | 2024 | 0 |
About Emanuelle M. Rizk
Emanuelle M. Rizk is a scholar working on Oncology, Immunology, Epidemiology, Genetics and Small Animals, having authored 17 papers that have together received 221 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (6 papers), Cancer Immunotherapy and Biomarkers (6 papers), CAR-T cell therapy research (5 papers), Cutaneous Melanoma Detection and Management (3 papers), Virus-based gene therapy research (3 papers), Nonmelanoma Skin Cancer Studies (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Viral Infectious Diseases and Gene Expression in Insects (1 paper). The work is most often cited by research in Oncology (110 citations), Immunology (56 citations), Biophysics (8 citations), Cancer Research (16 citations) and Genetics (24 citations). Emanuelle M. Rizk has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Yvonne M. Saenger, Robyn D. Gartrell, Jaya Sarin Pradhan, Swati Gupta, Bonnie Gould Rothberg, Luke W. Barker, Balázs Ács, Pok Fai Wong, Fahad Shabbir Ahmed and David L. Rimm. Their work appears in journals such as Journal of Clinical Oncology, Hematology/Oncology Clinics of North America, Journal of the American Academy of Dermatology, Melanoma Research and Nature Communications.
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.