Sandra E. Sinisi

979 citations
13 papers · 788 · h-index 9

Impact in

Papers in

Sandra E. Sinisi

13 papers receiving 747 citations

Peers

Sandra E. Sinisi
Comparison fields: 5 of 127
  • Statistics and Probability 354
  • Complementary and Manual Therapy 42
  • Health, Toxicology and Mutagenesis 73
  • Virology 16
  • Economics and Econometrics 78
Replace Mark J. van der Laan with:
Mark J. van der Laan United States
Lueping Zhao United States
Carl V. Phillips United States
Lang Wu Canada
DB Rubin United States
Ariel Alonso Belgium
Laurie Berrie United Kingdom
Alexia Antczak‐Bouckoms United States
Delia North South Africa
Sangita Kulathinal Finland
Sandra E. Sinisi relative to Mark J. van der Laan United States Mark J. van der Laan's profile →
Citations per field
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Mark J. van der Laan · 1×
Citations per year

Countries citing papers authored by Sandra E. Sinisi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 16 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.

Border = papers with Sandra E. Sinisi Line = papers co-authored together Sandra E. Sinisi links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2006292
2 2007203
3 2004131
4
Diagnoses based on the Research Diagnostic Criteria for Temporomandibular Disorders in a biracial population of young women.
200548
5 200838
6
Loss-Based Cross-Validated Deletion/Substitution/Addition Algorithms in Estimation
200421
7 200316
8 200511
9 200711
10
Loss-Based Estimation with Cross-Validation: Applications to Microarray Data Analysis and Motif Finding
20039
11 20064
12
Super Learning: An Application to Prediction of HIV-1 Drug Susceptibility
20062
13 20102

About Sandra E. Sinisi

Sandra E. Sinisi is a scholar working on Statistics and Probability, Hepatology, Virology, Genetics and Infectious Diseases, having authored 13 papers that have together received 788 indexed citations. Recurring topics across this work include Statistical Methods and Inference (7 papers), Gene expression and cancer classification (4 papers), Hepatitis C virus research (4 papers), HIV Research and Treatment (3 papers), Machine Learning and Data Classification (2 papers), Advanced Causal Inference Techniques (2 papers), Genetic and phenotypic traits in livestock (2 papers) and HIV/AIDS drug development and treatment (2 papers). The work is most often cited by research in Statistics and Probability (354 citations), Complementary and Manual Therapy (42 citations), Health, Toxicology and Mutagenesis (73 citations), Virology (16 citations) and Economics and Econometrics (78 citations). Sandra E. Sinisi has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Mark J. van der Laan, Maya L. Petersen, Soo‐Yon Rhee, Eric C. Polley, Patricia B. Crawford, Stuart A. Gansky, Octavia Plesh, Annette M. Molinaro, Oliver Bembom and Robert Shafer. Their work appears in journals such as Statistical Applications in Genetics and Molecular Biology, Lara D. Veeken, Statistics in Medicine, Journal of Multivariate Analysis and Epidemiology.

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.

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