Laura Saba

2.6k citations
97 papers · 1.7k · h-index 21

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 15
    • Bioinformatics and Genomic Networks 12
    • Gene expression and cancer classification 9
    • RNA Research and Splicing 7
    • Genetic Mapping and Diversity in Plants and Animals 21

Laura Saba

96 papers receiving 1.7k citations

Peers

Laura Saba
Comparison fields: 5 of 136
  • Biological Psychiatry 37
  • Biomaterials 174
  • Applied Psychology 63
  • Molecular Biology 718
  • Physiology 253
Replace Mengyu Liu with:
Mengyu Liu China
Kesheng Wang United States
Eriko Tanaka Japan
C. James Chou United States
Haihong Zhang China
Yan Yan China
Youssef Fares Lebanon
Sang Eun Kim South Korea
Audrey C. Papp United States
Francesca Brambilla Italy
Laura Saba relative to Mengyu Liu China Mengyu Liu's profile →
Citations per field
00.5×3.8×
Mengyu Liu · 1×
Citations per year

Countries citing papers authored by Laura Saba

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018243
2 200482
3 200662
4 200859
5 200652
6 200843
7 201543
8 201040
9 200739
10 202139
11 201738
12 200837
13 200636
14 200734
15 201234
16 201533
17 201328
18 201827
19 201727
20 201727

About Laura Saba

Laura Saba is a scholar working on Molecular Biology, Genetics, Physiology, Pathology and Forensic Medicine and Epidemiology, having authored 97 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (21 papers), Peroxisome Proliferator-Activated Receptors (15 papers), Alcohol Consumption and Health Effects (14 papers), Bioinformatics and Genomic Networks (12 papers), Adipose Tissue and Metabolism (12 papers), Gene expression and cancer classification (9 papers), RNA Research and Splicing (7 papers) and Complement system in diseases (7 papers). The work is most often cited by research in Biological Psychiatry (37 citations), Biomaterials (174 citations), Applied Psychology (63 citations), Molecular Biology (718 citations) and Physiology (253 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, Robert I. Scheinman, Dmitri Simberg, 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, Mammalian Genome, PLoS ONE, Genes Brain & Behavior and Free Radical Biology and Medicine.

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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