Sabina Compassi

545 citations
9 papers · 456 · h-index 9

Impact in

  • Surgery top 10%
    • Cholesterol and Lipid Metabolism
    • Drug Transport and Resistance Mechanisms

Papers in

    • Lipid Membrane Structure and Behavior 7
    • RNA Interference and Gene Delivery 2
    • Peroxisome Proliferator-Activated Receptors 1
    • Drug Transport and Resistance Mechanisms 6

Sabina Compassi

9 papers receiving 440 citations

Peers

Sabina Compassi
Comparison fields: 5 of 62
  • Surgery 285
  • Oncology 166
  • Biochemistry 35
  • Biochemistry 32
  • Nutrition and Dietetics 56
Replace Michel Nauze with:
Michel Nauze France
Marleen Schonewille Netherlands
R C Sexton United States
S. Murthy United States
Jennifer Savage United States
Alisha Jarnagin United States
Cinzia Mascia Italy
L. C. Smith United States
R. Clarenburg United States
Andrew Harbottle United Kingdom
Sabina Compassi relative to Michel Nauze France Michel Nauze's profile →
Citations per field
00.5×1.5×2.1×
Michel Nauze · 1×
Citations per year

Countries citing papers authored by Sabina Compassi

Since Specialization
Citations

This map shows the geographic impact of Sabina Compassi'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 Sabina Compassi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sabina Compassi more than expected).

Fields of papers citing papers by Sabina Compassi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sabina Compassi. 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 Sabina Compassi. The network helps show where Sabina Compassi may publish in the future.

Co-authors

The 16 scholars most cited alongside Sabina Compassi, 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 Sabina Compassi Line = papers co-authored together Sabina Compassi links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 1998210
2 199740
3 200038
4 199435
5 199634
6 199530
7 199729
8 199720
9 199720

About Sabina Compassi

Sabina Compassi is a scholar working on Molecular Biology, Oncology, Surgery, Cell Biology and Pharmaceutical Science, having authored 9 papers that have together received 456 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (7 papers), Drug Transport and Resistance Mechanisms (6 papers), Cholesterol and Lipid Metabolism (3 papers), Caveolin-1 and cellular processes (3 papers), Pancreatic function and diabetes (2 papers), RNA Interference and Gene Delivery (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper) and Metabolism and Genetic Disorders (1 paper). The work is most often cited by research in Surgery (285 citations), Oncology (166 citations), Biochemistry (35 citations), Biochemistry (32 citations) and Nutrition and Dietetics (56 citations). Sabina Compassi has collaborated with scholars based in Switzerland and United States. Frequent co-authors include H. Häuser, Moritz Werder, Franz E. Weber, Dario Boffelli, Georg Schulthess, Michael C. Phillips, James H. Dyer, E. Wehrli, Andreas Nandy and Miguel A. Vega. Their work appears in journals such as Biochemistry, Journal of Lipid Research, FEBS Letters and Proceedings of the National Academy of Sciences.

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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