Sandra E. Safo
Impact in
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- HIV Research and Treatment
Papers in
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- Metabolomics and Mass Spectrometry Studies 5
- Gene expression and cancer classification 4
- Bioinformatics and Genomic Networks 4
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- COVID-19 Clinical Research Studies 3
- HIV/AIDS Research and Interventions 2
- Co-authors
- Qi Long (10 shared papers)Shuzhao Li (2 shared papers)Jeongyoun Ahn (1 shared paper)Jianguo Xia (1 shared paper)Luiz Gustavo Gardinassi (1 shared paper)Thierry Chekouo (2 shared papers)Ziyi Li (1 shared paper)Lawrence S. Phillips (5 shared papers)
- Journals
- BMC Bioinformatics (4 papers)Briefings in Bioinformatics (2 papers)Diabetic Medicine (2 papers)Computational Statistics & Data Analysis (2 papers)The Journal of Infectious Diseases (2 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Sandra E. Safo
32 papers receiving 230 citations
Peers
Comparison fields: 5 of 84
- Computational Mathematics 2
- Virology 11
- Statistics and Probability 14
- Molecular Biology 98
- Infectious Diseases 22
Countries citing papers authored by Sandra E. Safo
This map shows the geographic impact of Sandra E. Safo'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 Sandra E. Safo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandra E. Safo more than expected).
Fields of papers citing papers by Sandra E. Safo
This network shows the impact of papers produced by Sandra E. Safo. 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 Sandra E. Safo. The network helps show where Sandra E. Safo may publish in the future.
Co-authors
The 25 scholars most cited alongside Sandra E. Safo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 26 | |
| 2 | 2016 | 22 | |
| 3 | 2017 | 18 | |
| 4 | 2018 | 17 | |
| 5 | 2016 | 16 | |
| 6 | 2017 | 16 | |
| 7 | 2022 | 14 | |
| 8 | 2022 | 13 | |
| 9 | 2016 | 12 | |
| 10 | 2021 | 9 | |
| 11 | 2024 | 7 | |
| 12 | 2017 | 7 | |
| 13 | 2024 | 7 | |
| 14 | 2024 | 6 | |
| 15 | 2024 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2020 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2020 | 3 | |
| 20 | 2022 | 3 |
About Sandra E. Safo
Sandra E. Safo is a scholar working on Molecular Biology, Infectious Diseases, Endocrinology, Diabetes and Metabolism, Computer Vision and Pattern Recognition and Statistics and Probability, having authored 36 papers that have together received 232 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (5 papers), Gene expression and cancer classification (4 papers), Bioinformatics and Genomic Networks (4 papers), COVID-19 Clinical Research Studies (3 papers), Diabetes Treatment and Management (2 papers), HIV/AIDS Research and Interventions (2 papers), Face and Expression Recognition (2 papers) and Statistical Methods and Inference (2 papers). The work is most often cited by research in Computational Mathematics (2 citations), Virology (11 citations), Statistics and Probability (14 citations), Molecular Biology (98 citations) and Infectious Diseases (22 citations). Sandra E. Safo has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Qi Long, Shuzhao Li, Jeongyoun Ahn, Jianguo Xia, Luiz Gustavo Gardinassi, Thierry Chekouo, Ziyi Li, Lawrence S. Phillips, Sarthak Jain and Sandra L. Jackson. Their work appears in journals such as BMC Bioinformatics, Briefings in Bioinformatics, Diabetic Medicine, Computational Statistics & Data Analysis and The Journal of Infectious Diseases.
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.