Shemra Rizzo
- Public Health, Environmental and Occupational Health
- Psychiatry and Mental health
- Economics and Econometrics
- Applied Microbiology and Biotechnology top 5%
- Artificial Intelligence
- Co-authors
- Navdeep PalJames ZouRuishan LiuRyan CoppingBrandon ArnieriMichael W. LuArturo López PinedaYing Lü
- Topics
- COVID-19 Clinical Research Studies (3 papers)Cancer Genomics and Diagnostics (3 papers)Statistical Methods in Clinical Trials (3 papers)
- Partner nations
- United StatesSwitzerlandFrance
In The Last Decade
Shemra Rizzo
19 papers receiving 526 citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Public Health, Environmental and Occupational Health 91
- Psychiatry and Mental health 67
- Economics and Econometrics 59
- Applied Microbiology and Biotechnology 54
- Artificial Intelligence 50
Countries citing papers authored by Shemra Rizzo
This map shows the geographic impact of Shemra Rizzo'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 Shemra Rizzo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shemra Rizzo more than expected).
Fields of papers citing papers by Shemra Rizzo
This network shows the impact of papers produced by Shemra Rizzo. 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 Shemra Rizzo. The network helps show where Shemra Rizzo may publish in the future.
Co-authorship network of co-authors of Shemra Rizzo
This figure shows the co-authorship network connecting the top 25 collaborators of Shemra Rizzo. A scholar is included among the top collaborators of Shemra Rizzo 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 Shemra Rizzo. Shemra Rizzo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 8 | |
| 3 | 21 | |
| 4 | 7 | |
| 5 | 14 | |
| 6 | 8 | |
| 7 | Evaluating eligibility criteria of oncology trials using real-world data and AIbreakdown → | 184 |
| 8 | 26 | |
| 9 | 2 | |
| 10 | 15 | |
| 11 | 7 | |
| 12 | 0 | |
| 13 | 11 | |
| 14 | 46 | |
| 15 | 32 | |
| 16 | Uncertainty in Meta-Analysis: Bridging the Divide Between Ideal and Available Extracted Data | 1 |
| 17 | 35 | |
| 18 | 30 | |
| 19 | 19 | |
| 20 | 50 |
About Shemra Rizzo
Shemra Rizzo is a scholar working on Applied Microbiology and Biotechnology, Neuropsychology and Physiological Psychology and Statistics and Probability, having authored 21 papers that have together received 540 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (3 papers), Cancer Genomics and Diagnostics (3 papers) and Statistical Methods in Clinical Trials (3 papers). The work is most often cited by research in Health Informatics (48 citations), Applied Microbiology and Biotechnology (54 citations) and Health Information Management (32 citations). Shemra Rizzo has collaborated with scholars based in United States, Switzerland and France. Frequent co-authors include Navdeep Pal, James Zou, Ruishan Liu, Ryan Copping, Brandon Arnieri, Michael W. Lu, Arturo López Pineda, Ying Lü, William B. Capra and Samuel Whipple. Their work appears in journals such as Nature, Nature Medicine 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.