Alexandra Fullár

649 citations
15 papers · 528 · h-index 10

Impact in

  • Cell Biology top 10%
    • Proteoglycans and glycosaminoglycans research
    • Protease and Inhibitor Mechanisms
    • Cancer-related molecular mechanisms research

Papers in

    • Glycosylation and Glycoproteins Research 4
    • Fibroblast Growth Factor Research 3
    • Proteoglycans and glycosaminoglycans research 5

Alexandra Fullár

13 papers receiving 520 citations

Peers

Alexandra Fullár
Comparison fields: 5 of 76
  • Cell Biology 156
  • Cancer Research 105
  • Immunology and Allergy 42
  • Oncology 156
  • Hepatology 28
Replace Edgardo Salvatierra with:
Edgardo Salvatierra Argentina
Reeti Behera United States
Eli Berg Norway
Arulselvi Anbalagan United States
Helena Porsch Sweden
Kati Räsänen Finland
Christine Earle United States
Charulata Hota Canada
Jonathon D. Roybal United States
Benjamin V. Park United States
Alexandra Fullár relative to Edgardo Salvatierra Argentina Edgardo Salvatierra's profile →
Citations per field
00.5×3.5×
Edgardo Salvatierra · 1×
Citations per year

Countries citing papers authored by Alexandra Fullár

Since Specialization
Citations

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

Fields of papers citing papers by Alexandra Fullár

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2015113
2 201085
3 201372
4 201264
5 201157
6 201244
7 201234
8 201414
9 202013
10 202010
11 20149
12 20165
13 20165
14 20202
15 20151

About Alexandra Fullár

Alexandra Fullár is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Hepatology and Oncology, having authored 15 papers that have together received 528 indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (5 papers), Glycosylation and Glycoproteins Research (4 papers), Liver physiology and pathology (3 papers), Protease and Inhibitor Mechanisms (3 papers), Fibroblast Growth Factor Research (3 papers), Peptidase Inhibition and Analysis (2 papers), Cell Adhesion Molecules Research (2 papers) and NF-κB Signaling Pathways (1 paper). The work is most often cited by research in Cell Biology (156 citations), Cancer Research (105 citations), Immunology and Allergy (42 citations), Oncology (156 citations) and Hepatology (28 citations). Alexandra Fullár has collaborated with scholars based in Hungary, Austria and United States. Frequent co-authors include Ilona Kovalszky, József Dudás, Kornélia Baghy, Sándor Paku, Volker Hans Schartinger, Georg Mathias Sprinzl, Herbert Riechelmann, Renato V. Iozzo, Zsuzsa Schaff and Mario Bitsche. Their work appears in journals such as PLoS ONE, Experimental Cell Research, Pathology & Oncology Research, BMC Cancer and BioMed Research International.

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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