Suzanne Sindi
Impact in
Papers in
-
- Prion Diseases and Protein Misfolding 16
- Genomics and Phylogenetic Studies 16
- Genetics 26
- Genomic variations and chromosomal abnormalities 17
- Genomics and Rare Diseases 12
- Evolution and Genetic Dynamics 6
- Co-authors
- Benjamin J. Raphael (5 shared papers)Tricia R. Serio (8 shared papers)Ali Bashir (2 shared papers)Elena Helman (1 shared paper)Susanne DiSalvo (2 shared papers)Hsin-Ta Wu (1 shared paper)Aaron Derdowski (1 shared paper)Courtney L. Klaips (1 shared paper)
- Journals
- Journal of Applied Probability (3 papers)Bioinformatics (3 papers)Mathematical Biosciences (2 papers)PLoS ONE (2 papers)Journal of Visualized Experiments (2 papers)
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Suzanne Sindi
70 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 121
- Genetics 282
- Neurology 76
- Molecular Biology 588
- Modeling and Simulation 35
- Cancer Research 65
Countries citing papers authored by Suzanne Sindi
This map shows the geographic impact of Suzanne Sindi'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 Suzanne Sindi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suzanne Sindi more than expected).
Fields of papers citing papers by Suzanne Sindi
This network shows the impact of papers produced by Suzanne Sindi. 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 Suzanne Sindi. The network helps show where Suzanne Sindi may publish in the future.
Co-authors
The 25 scholars most cited alongside Suzanne Sindi, 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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 125 | |
| 2 | 2012 | 96 | |
| 3 | 2010 | 86 | |
| 4 | 2018 | 54 | |
| 5 | 2018 | 50 | |
| 6 | 2014 | 42 | |
| 7 | 2014 | 35 | |
| 8 | 2009 | 35 | |
| 9 | 2012 | 34 | |
| 10 | 2022 | 31 | |
| 11 | 2009 | 29 | |
| 12 | 2019 | 24 | |
| 13 | 2010 | 22 | |
| 14 | 2020 | 21 | |
| 15 | 2017 | 20 | |
| 16 | 2020 | 19 | |
| 17 | 2023 | 16 | |
| 18 | 2021 | 14 | |
| 19 | 2022 | 13 | |
| 20 | 2021 | 12 |
About Suzanne Sindi
Suzanne Sindi is a scholar working on Molecular Biology, Genetics, Neurology, Plant Science and Nutrition and Dietetics, having authored 76 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (17 papers), Prion Diseases and Protein Misfolding (16 papers), Genomics and Phylogenetic Studies (16 papers), Genomics and Rare Diseases (12 papers), Neurological diseases and metabolism (8 papers), Chromosomal and Genetic Variations (7 papers), Evolution and Genetic Dynamics (6 papers) and Trace Elements in Health (6 papers). The work is most often cited by research in Genetics (282 citations), Neurology (76 citations), Molecular Biology (588 citations), Modeling and Simulation (35 citations) and Cancer Research (65 citations). Suzanne Sindi has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Benjamin J. Raphael, Tricia R. Serio, Ali Bashir, Elena Helman, Susanne DiSalvo, Hsin-Ta Wu, Aaron Derdowski, Courtney L. Klaips, Karin Leiderman and Keith B. Neeves. Their work appears in journals such as Journal of Applied Probability, Bioinformatics, Mathematical Biosciences, PLoS ONE and Journal of Visualized Experiments.
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.