Frances Separovic

14.6k citations
305 papers · 12.2k indexed · 3 hit papers · h-index 58

Frances Separovic

302 papers receiving 12.1k citations

Hit Papers

The intricate l...462016202620192022100200300

Peers

Frances Separovic
Comparison fields: 5 of 167
  • Microbiology 3.7k
  • Molecular Biology 6.8k
  • Catalysis 643
  • Biomaterials 1.1k
  • Spectroscopy 1.0k
Replace Mei Hong with:
Mei Hong United States
Raz Jelinek Israel
Alfred Blume Germany
Hans‐Joachim Galla Germany
B.A. Wallace United Kingdom
Jian R. Lu United Kingdom
Richard M. Venable United States
Daniel E. Otzen Denmark
William T. Heller United States
Ian W. Hamley United Kingdom
Frances Separovic relative to Mei Hong United States Mei Hong's profile →
Citations per field
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Mei Hong · 1×
Citations per year

Countries citing papers authored by Frances Separovic

Since Specialization
Citations

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

Fields of papers citing papers by Frances Separovic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Frances Separovic, 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 Frances Separovic Line = papers co-authored together Frances Separovic links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
The intricate link between membrane lipid structure and composition and membrane structural properties in bacterial membranesbreakdown →
202446
2 20241
3 20241
4 202163
5 20212
6 20201
7 20209
8 202046
9 20204
10 202051
11 20201
12 201724
13 201722
14 201613
15 201515
16 201568
17 201242
18
The role of A beta peptides in Alzheimer's disease
20051
19
Magnetic moments: membrane protein structures by NMR
20041
20 199423

About Frances Separovic

Frances Separovic is a scholar working on Microbiology, Spectroscopy and Molecular Biology, having authored 305 papers that have together received 12.2k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (122 papers), Antimicrobial Peptides and Activities (92 papers), Advanced NMR Techniques and Applications (44 papers), Biochemical and Structural Characterization (43 papers), Alzheimer's disease research and treatments (28 papers), Protein Structure and Dynamics (25 papers), NMR spectroscopy and applications (20 papers) and Pregnancy-related medical research (16 papers). The work is most often cited by research in Microbiology (3.7k citations), Molecular Biology (6.8k citations) and Catalysis (643 citations). Frances Separovic has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Marc‐Antoine Sani, John D. Wade, Bruce Cornell, Peter Duxson, Grant C. Lukey, J.S.J. van Deventer, John H. Bowie, Mohammed Akhter Hossain, Neil M. O’Brien‐Simpson and Wenyi Li. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Biomembranes, Biophysical Journal, European Biophysics Journal, Australian Journal of Chemistry and Biochemistry.

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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