Janet M. Sasso
- Molecular Biology top 10%
- Infectious Diseases top 2%
- Biomedical Engineering top 5%
- Cancer Research top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Qiongqiong Angela ZhouRumiana TenchovXinmei WangYingzhu LiCynthia LiuChun‐An ChenL. GarnerDasheng Wang
- Topics
- RNA Interference and Gene Delivery (4 papers)MicroRNA in disease regulation (3 papers)SARS-CoV-2 and COVID-19 Research (2 papers)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Janet M. Sasso
16 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Molecular Biology 1.0k
- Infectious Diseases 601
- Biomedical Engineering 484
- Cancer Research 180
- Radiology, Nuclear Medicine and Imaging 169
Countries citing papers authored by Janet M. Sasso
This map shows the geographic impact of Janet M. Sasso'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 Janet M. Sasso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Janet M. Sasso more than expected).
Fields of papers citing papers by Janet M. Sasso
This network shows the impact of papers produced by Janet M. Sasso. 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 Janet M. Sasso. The network helps show where Janet M. Sasso may publish in the future.
Co-authorship network of co-authors of Janet M. Sasso
This figure shows the co-authorship network connecting the top 25 collaborators of Janet M. Sasso. A scholar is included among the top collaborators of Janet M. Sasso based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Janet M. Sasso. Janet M. Sasso is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 1 | |
| 3 | 25 | |
| 4 | 14 | |
| 5 | 7 | |
| 6 | 21 | |
| 7 | 21 | |
| 8 | Gut Microbiome–Brain Alliance: A Landscape View into Mental and Gastrointestinal Health and Disordersbreakdown → | 103 |
| 9 | PEGylated Lipid Nanoparticle Formulations: Immunological Safety and Efficiency Perspectivebreakdown → | 155 |
| 10 | 24 | |
| 11 | Aging Hallmarks and Progression and Age-Related Diseases: A Landscape View of Research Advancementbreakdown → | 84 |
| 12 | 74 | |
| 13 | 74 | |
| 14 | 131 | |
| 15 | Exosomes─Nature’s Lipid Nanoparticles, a Rising Star in Drug Delivery and Diagnosticsbreakdown → | 361 |
| 16 | Assay Techniques and Test Development for COVID-19 Diagnosisbreakdown → | 704 |
About Janet M. Sasso
Janet M. Sasso is a scholar working on Aging, Biological Psychiatry and Cancer Research, having authored 16 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (4 papers), MicroRNA in disease regulation (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Infectious Diseases (601 citations), Molecular Biology (1.0k citations) and Aging (26 citations). Janet M. Sasso has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Qiongqiong Angela Zhou, Rumiana Tenchov, Xinmei Wang, Yingzhu Li, Cynthia Liu, Chun‐An Chen, L. Garner, Xinmei Wang, Dasheng Wang and Linda S. Johnson. Their work appears in journals such as ACS Nano, Biochemistry and Journal of Medicinal Chemistry.
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.