Sabina Compassi

545 citations
9 papers · 481 · 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 450 citations

Peers

Sabina Compassi
Comparison fields: 5 of 58
  • Surgery 282
  • Oncology 157
  • Biochemistry 35
  • Biochemistry 37
  • Nutrition and Dietetics 60
Replace Michel Nauze with:
Michel Nauze France
R C Sexton United States
S. Murthy United States
R. Clarenburg United States
Cinzia Mascia Italy
Sarala Kodukula United States
Saloni Gill Australia
E. C. Trout United States
Rosangela Aparecida dos Santos Eichler Brazil
Chahrzad Montrose United States
Sabina Compassi relative to Michel Nauze France Michel Nauze's profile →
Citations per field
00.5×1.5×2.3×
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 1998220
2 199743
3 200040
4 199438
5 199637
6 199531
7 199730
8 199721
9 199721

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 481 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 Lipid metabolism and biosynthesis (1 paper). The work is most often cited by research in Surgery (282 citations), Oncology (157 citations), Biochemistry (35 citations), Biochemistry (37 citations) and Nutrition and Dietetics (60 citations). Sabina Compassi has collaborated with scholars based in Switzerland and United States. Frequent co-authors include Moritz Werder, Dario Boffelli, Franz E. Weber, Georg Schulthess, Michael C. Phillips, E. Wehrli, James H. Dyer, Anja C. Gemperli, Miguel A. Vega and Andreas Nandy. Their work appears in journals such as Biochemistry, Proceedings of the National Academy of Sciences, Journal of Lipid Research and FEBS Letters.

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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