Jacquelyn Sousa
Impact in
-
- Mathematical Biology Tumor Growth
-
- MicroRNA in disease regulation
Papers in
-
- RNA Interference and Gene Delivery 6
- Advanced biosensing and bioanalysis techniques 5
-
- MicroRNA in disease regulation 4
- Co-authors
- Anastasia Khvorova (8 shared papers)Dimas Echeverria (8 shared papers)Nicholas McHugh (5 shared papers)Annabelle Biscans (3 shared papers)Sarah M. Davis (3 shared papers)Julia F. Alterman (4 shared papers)Socheata Ly (1 shared paper)Anton A. Turanov (2 shared papers)
- Journals
- Nucleic Acids Research (4 papers)Molecular Therapy — Nucleic Acids (3 papers)Molecular Therapy (2 papers)Alzheimer s & Dementia (1 paper)Brazilian Journal of Medical and Biological Research (1 paper)
- Partner nations
- United StatesPortugalBrazil
In The Last Decade
Jacquelyn Sousa
13 papers receiving 205 citations
Peers
Comparison fields: 5 of 51
- Modeling and Simulation 16
- Cancer Research 48
- Molecular Biology 151
- Immunology 27
- Obstetrics and Gynecology 10
Countries citing papers authored by Jacquelyn Sousa
This map shows the geographic impact of Jacquelyn Sousa'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 Jacquelyn Sousa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacquelyn Sousa more than expected).
Fields of papers citing papers by Jacquelyn Sousa
This network shows the impact of papers produced by Jacquelyn Sousa. 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 Jacquelyn Sousa. The network helps show where Jacquelyn Sousa may publish in the future.
Co-authors
The 25 scholars most cited alongside Jacquelyn Sousa, 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 | 2020 | 39 | |
| 2 | 2022 | 36 | |
| 3 | 2021 | 29 | |
| 4 | 2020 | 24 | |
| 5 | 2024 | 19 | |
| 6 | 2022 | 18 | |
| 7 | 2020 | 15 | |
| 8 | 2005 | 8 | |
| 9 | 2024 | 6 | |
| 10 | A new optimization based approach to experimental combination chemotherapy. | 1995 | 6 |
| 11 | 2022 | 4 | |
| 12 | 2002 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2025 | 0 |
About Jacquelyn Sousa
Jacquelyn Sousa is a scholar working on Molecular Biology, Cancer Research, Immunology, Modeling and Simulation and Numerical Analysis, having authored 14 papers that have together received 211 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), MicroRNA in disease regulation (4 papers), Mathematical Biology Tumor Growth (2 papers), Cancer Treatment and Pharmacology (1 paper), Alzheimer's disease research and treatments (1 paper), Aerospace Engineering and Control Systems (1 paper) and Microbial Natural Products and Biosynthesis (1 paper). The work is most often cited by research in Modeling and Simulation (16 citations), Cancer Research (48 citations), Molecular Biology (151 citations), Immunology (27 citations) and Obstetrics and Gynecology (10 citations). Jacquelyn Sousa has collaborated with scholars based in United States, Portugal and Brazil. Frequent co-authors include Anastasia Khvorova, Dimas Echeverria, Nicholas McHugh, Annabelle Biscans, Sarah M. Davis, Julia F. Alterman, Socheata Ly, Anton A. Turanov, Фернандо Лобо Перейра and Matthew Hassler. Their work appears in journals such as Nucleic Acids Research, Molecular Therapy — Nucleic Acids, Molecular Therapy, Alzheimer s & Dementia and Brazilian Journal of Medical and Biological 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.