Sandra E. Sinisi
Impact in
- Statistics and Probability top 1%
- Advanced Causal Inference Techniques
- Statistical Methods and Inference
- Statistical Methods and Bayesian Inference
- Statistical Methods in Clinical Trials
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- Temporomandibular Joint Disorders
Papers in
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- Statistical Methods and Inference 5
- Advanced Causal Inference Techniques 2
- Virology 3
- HIV Research and Treatment 3
- Co-authors
- Mark J. van der Laan (9 shared papers)Maya L. Petersen (4 shared papers)Soo‐Yon Rhee (2 shared papers)Eric C. Polley (1 shared paper)Octavia Plesh (1 shared paper)Stuart A. Gansky (1 shared paper)Patricia B. Crawford (1 shared paper)Oliver Bembom (1 shared paper)
- Journals
- Statistical Applications in Genetics and Molecular Biology (4 papers)Statistics in Medicine (1 paper)Epidemiology (1 paper)Journal of Multivariate Analysis (1 paper)Collection of Biostatistics Research Archive (1 paper)
- Partner nations
- United States
In The Last Decade
Sandra E. Sinisi
10 papers receiving 638 citations
Peers
Comparison fields: 5 of 127
- Statistics and Probability 322
- Complementary and Manual Therapy 41
- Virology 22
- Health, Toxicology and Mutagenesis 60
- Health 26
Countries citing papers authored by Sandra E. Sinisi
This map shows the geographic impact of Sandra E. Sinisi'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. Sinisi 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. Sinisi more than expected).
Fields of papers citing papers by Sandra E. Sinisi
This network shows the impact of papers produced by Sandra E. Sinisi. 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. Sinisi. The network helps show where Sandra E. Sinisi may publish in the future.
Co-authors
The 15 scholars most cited alongside Sandra E. Sinisi, 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 | 2006 | 261 | |
| 2 | 2007 | 167 | |
| 3 | 2004 | 116 | |
| 4 | Diagnoses based on the Research Diagnostic Criteria for Temporomandibular Disorders in a biracial population of young women. | 2005 | 48 |
| 5 | 2008 | 36 | |
| 6 | 2003 | 15 | |
| 7 | 2005 | 10 | |
| 8 | 2007 | 10 | |
| 9 | 2006 | 4 | |
| 10 | Super Learning: An Application to Prediction of HIV-1 Drug Susceptibility | 2006 | 2 |
About Sandra E. Sinisi
Sandra E. Sinisi is a scholar working on Statistics and Probability, Virology, Artificial Intelligence, Hepatology and Infectious Diseases, having authored 10 papers that have together received 669 indexed citations. Recurring topics across this work include Statistical Methods and Inference (5 papers), HIV Research and Treatment (3 papers), Hepatitis C virus research (3 papers), Machine Learning and Data Classification (2 papers), HIV/AIDS drug development and treatment (2 papers), Advanced Causal Inference Techniques (2 papers), Gene expression and cancer classification (2 papers) and Genetic and phenotypic traits in livestock (1 paper). The work is most often cited by research in Statistics and Probability (322 citations), Complementary and Manual Therapy (41 citations), Virology (22 citations), Health, Toxicology and Mutagenesis (60 citations) and Health (26 citations). Sandra E. Sinisi has collaborated with scholars based in United States. Frequent co-authors include Mark J. van der Laan, Maya L. Petersen, Soo‐Yon Rhee, Eric C. Polley, Octavia Plesh, Stuart A. Gansky, Patricia B. Crawford, Oliver Bembom, W. Jeffrey Fessel and Annette M. Molinaro. Their work appears in journals such as Statistical Applications in Genetics and Molecular Biology, Statistics in Medicine, Epidemiology, Journal of Multivariate Analysis and Collection of Biostatistics Research Archive.
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.