Anna Mularski

449 citations
21 papers · 340 · h-index 11

Impact in

Papers in

    • Lipid Membrane Structure and Behavior 7
    • S100 Proteins and Annexins 5
    • Biochemical and Structural Characterization 3
    • Cellular Mechanics and Interactions 4
    • Cellular transport and secretion 2

Anna Mularski

20 papers receiving 337 citations

Peers

Anna Mularski
Comparison fields: 5 of 68
  • Microbiology 88
  • Molecular Medicine 35
  • Endocrinology 19
  • Cell Biology 47
  • Molecular Biology 192
Replace Chung‐I Chang with:
Chung‐I Chang Taiwan
Toshiyuki Tsuji Japan
Javin P. Oza United States
Kristina Hempel Germany
Kieran Rimmer Australia
Georgia Orfanoudaki Greece
Haizhen Zhou China
Yong‐In Kim South Korea
Marion Boudes Australia
Lauren A. Richardson United States
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Citations per field
00.5×2.6×
Chung‐I Chang · 1×
Citations per year

Countries citing papers authored by Anna Mularski

Since Specialization
Citations

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

Fields of papers citing papers by Anna Mularski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201569
2 201642
3 201539
4 202235
5 202034
6 201922
7 202118
8 202118
9 201613
10 201811
11 202111
12 20228
13 20245
14 20233
15 20163
16 20252
17 20212
18 20232
19 20252
20 20201

About Anna Mularski

Anna Mularski is a scholar working on Molecular Biology, Cell Biology, Immunology, Microbiology and Immunology and Allergy, having authored 21 papers that have together received 340 indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (7 papers), S100 Proteins and Annexins (5 papers), Cellular Mechanics and Interactions (4 papers), Antimicrobial Peptides and Activities (3 papers), Biochemical and Structural Characterization (3 papers), Cell Adhesion Molecules Research (3 papers), Cellular transport and secretion (2 papers) and Hereditary Neurological Disorders (2 papers). The work is most often cited by research in Microbiology (88 citations), Molecular Medicine (35 citations), Endocrinology (19 citations), Cell Biology (47 citations) and Molecular Biology (192 citations). Anna Mularski has collaborated with scholars based in Denmark, Australia and France. Frequent co-authors include Frances Separovic, Elaheh Jamasbi, Jonathan J. Wilksch, Richard A. Strugnell, Eric Hanssen, Adam Cohen Simonsen, Jesper Nylandsted, Stine Lauritzen Sønder, Catarina Dias and Florence Niedergang. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Biomembranes, Australian Journal of Chemistry, Current Topics in Medicinal Chemistry, Biophysical Journal and iScience.

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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