Sandra E. Safo
Impact in
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- HIV Research and Treatment
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- Statistical Methods and Inference
Papers in
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- Gene expression and cancer classification 9
- Bioinformatics and Genomic Networks 8
- Metabolomics and Mass Spectrometry Studies 6
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- COVID-19 Clinical Research Studies 5
- Co-authors
- Qi Long (10 shared papers)Jeongyoun Ahn (1 shared paper)Shuzhao Li (2 shared papers)Luiz Gustavo Gardinassi (1 shared paper)Jianguo Xia (1 shared paper)Thierry Chekouo (2 shared papers)Ziyi Li (1 shared paper)Lawrence S. Phillips (5 shared papers)
- Journals
- BMC Bioinformatics (4 papers)The Journal of Infectious Diseases (2 papers)Computational Statistics & Data Analysis (2 papers)Diabetic Medicine (2 papers)Briefings in Bioinformatics (2 papers)
- Partner nations
- United StatesCanadaAustralia
In The Last Decade
Sandra E. Safo
30 papers receiving 216 citations
Peers
Comparison fields: 5 of 88
- Virology 11
- Statistics and Probability 14
- Computational Mathematics 1
- Molecular Biology 107
- Endocrinology, Diabetes and Metabolism 24
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 | 24 | |
| 2 | 2016 | 21 | |
| 3 | 2017 | 18 | |
| 4 | 2018 | 17 | |
| 5 | 2017 | 16 | |
| 6 | 2016 | 16 | |
| 7 | 2022 | 12 | |
| 8 | 2016 | 12 | |
| 9 | 2022 | 12 | |
| 10 | 2021 | 8 | |
| 11 | 2017 | 7 | |
| 12 | 2024 | 6 | |
| 13 | 2024 | 6 | |
| 14 | 2024 | 5 | |
| 15 | 2024 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2020 | 4 | |
| 18 | 2022 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2022 | 3 |
About Sandra E. Safo
Sandra E. Safo is a scholar working on Molecular Biology, Infectious Diseases, Statistics and Probability, General Health Professions and Epidemiology, having authored 36 papers that have together received 218 indexed citations. Recurring topics across this work include Gene expression and cancer classification (9 papers), Bioinformatics and Genomic Networks (8 papers), Metabolomics and Mass Spectrometry Studies (6 papers), COVID-19 Clinical Research Studies (5 papers), Statistical Methods and Inference (4 papers), Long-Term Effects of COVID-19 (3 papers), Diabetes Management and Research (3 papers) and Food Security and Health in Diverse Populations (3 papers). The work is most often cited by research in Virology (11 citations), Statistics and Probability (14 citations), Computational Mathematics (1 citation), Molecular Biology (107 citations) and Endocrinology, Diabetes and Metabolism (24 citations). Sandra E. Safo has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Qi Long, Jeongyoun Ahn, Shuzhao Li, Luiz Gustavo Gardinassi, Jianguo Xia, Thierry Chekouo, Ziyi Li, Lawrence S. Phillips, Sandra L. Jackson and Mary K. Rhee. Their work appears in journals such as BMC Bioinformatics, The Journal of Infectious Diseases, Computational Statistics & Data Analysis, Diabetic Medicine and Briefings in Bioinformatics.
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.