Sofia Sasse

554 citations
8 papers · 422 · h-index 8

Impact in

  • Cell Biology top 10%
    • Cellular transport and secretion
    • Microtubule and mitosis dynamics
  • Biochemistry top 10%
    • Lipid metabolism and biosynthesis

Papers in

Sofia Sasse

8 papers receiving 416 citations

Peers

Sofia Sasse
Comparison fields: 5 of 74
  • Cell Biology 131
  • Biochemistry 57
  • Molecular Biology 281
  • Cellular and Molecular Neuroscience 69
  • Aging 6
Replace Daxiao Sun with:
Daxiao Sun China
Seiichi Koike Japan
Kira Späte Germany
Elizabeth Choe United States
Sayuri Hara‐Kuge Japan
Kara L. Cerveny United States
Sergei A. Kuznetsov Germany
Robert Finney United States
Kia Wee Tan Norway
Gonen Golani Israel
Sofia Sasse relative to Daxiao Sun China Daxiao Sun's profile →
Citations per field
00.5×3.2×
Daxiao Sun · 1×
Citations per year

Countries citing papers authored by Sofia Sasse

Since Specialization
Citations

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

Fields of papers citing papers by Sofia Sasse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 17 scholars most cited alongside Sofia Sasse, 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 Sofia Sasse Line = papers co-authored together Sofia Sasse links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2014241
2 201136
3 200933
4 201530
5 199228
6 201620
7 201720
8 201514

About Sofia Sasse

Sofia Sasse is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Aging and Infectious Diseases, having authored 8 papers that have together received 422 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Neurobiology and Insect Physiology Research (2 papers), Neurogenesis and neuroplasticity mechanisms (1 paper), Microtubule and mitosis dynamics (1 paper), Pneumocystis jirovecii pneumonia detection and treatment (1 paper) and Cardiovascular Effects of Exercise (1 paper). The work is most often cited by research in Cell Biology (131 citations), Biochemistry (57 citations), Molecular Biology (281 citations), Cellular and Molecular Neuroscience (69 citations) and Aging (6 citations). Sofia Sasse has collaborated with scholars based in Germany, United States and Australia. Frequent co-authors include Ulrike Eggert, G. Ekin Atilla‐Gokcumen, Eleonora Muro, Margaret Coughlin, Sergi Garcia-Manyes, Christian Klämbt, Adam Castoreno, Till Matzat, Peter W. Gunning and Colin J. Sutherland. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry, Development, Developmental Cell and The International Journal of Tuberculosis and Lung Disease.

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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