Laura Saba
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
- Biological Psychiatry top 10%
Papers in
-
- Peroxisome Proliferator-Activated Receptors 9
- Bioinformatics and Genomic Networks 9
- RNA Research and Splicing 6
- Genetics 18
- Genetic Mapping and Diversity in Plants and Animals 16
- Co-authors
- Boris Tabakoff (33 shared papers)Paula L. Hoffman (22 shared papers)Katerina Kechris (22 shared papers)Dmitri Simberg (7 shared papers)Robert I. Scheinman (7 shared papers)Guankui Wang (5 shared papers)Ernest Groman (4 shared papers)S. Moein Moghimi (5 shared papers)
- Journals
- Alcoholism Clinical and Experimental Research (7 papers)PLoS ONE (5 papers)Mammalian Genome (5 papers)Frontiers in Genetics (4 papers)Genes Brain & Behavior (4 papers)
- Partner nations
- United StatesUnited KingdomCzechia
In The Last Decade
Laura Saba
96 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 133
- Biomaterials 177
- Biological Psychiatry 28
- Molecular Biology 645
- Cellular and Molecular Neuroscience 166
- Physiology 212
Countries citing papers authored by Laura Saba
This map shows the geographic impact of Laura Saba'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 Laura Saba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Saba more than expected).
Fields of papers citing papers by Laura Saba
This network shows the impact of papers produced by Laura Saba. 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 Laura Saba. The network helps show where Laura Saba may publish in the future.
Co-authors
The 25 scholars most cited alongside Laura Saba, 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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 253 | |
| 2 | 2004 | 82 | |
| 3 | 2006 | 62 | |
| 4 | 2008 | 59 | |
| 5 | 2006 | 52 | |
| 6 | 2008 | 45 | |
| 7 | 2015 | 43 | |
| 8 | 2021 | 41 | |
| 9 | 2010 | 40 | |
| 10 | 2007 | 39 | |
| 11 | 2017 | 38 | |
| 12 | 2008 | 37 | |
| 13 | 2006 | 36 | |
| 14 | 2012 | 34 | |
| 15 | 2007 | 34 | |
| 16 | 2015 | 33 | |
| 17 | 2017 | 28 | |
| 18 | 2013 | 28 | |
| 19 | 2017 | 27 | |
| 20 | 2018 | 27 |
About Laura Saba
Laura Saba is a scholar working on Molecular Biology, Genetics, Physiology, Immunology and Pathology and Forensic Medicine, having authored 99 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (16 papers), Adipose Tissue and Metabolism (10 papers), Peroxisome Proliferator-Activated Receptors (9 papers), Bioinformatics and Genomic Networks (9 papers), Alcohol Consumption and Health Effects (8 papers), Complement system in diseases (7 papers), RNA Research and Splicing (6 papers) and Neurotransmitter Receptor Influence on Behavior (5 papers). The work is most often cited by research in Biomaterials (177 citations), Biological Psychiatry (28 citations), Molecular Biology (645 citations), Cellular and Molecular Neuroscience (166 citations) and Physiology (212 citations). Laura Saba has collaborated with scholars based in United States, United Kingdom and Czechia. Frequent co-authors include Boris Tabakoff, Paula L. Hoffman, Katerina Kechris, Dmitri Simberg, Robert I. Scheinman, Guankui Wang, Ernest Groman, S. Moein Moghimi, Vivian Vu and Sanjiv V. Bhave. Their work appears in journals such as Alcoholism Clinical and Experimental Research, PLoS ONE, Mammalian Genome, Frontiers in Genetics and Genes Brain & Behavior.
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.