Zsófia Pálfi

939 citations
26 papers · 668 · h-index 19

Impact in

Papers in

    • RNA modifications and cancer 7
    • RNA Research and Splicing 5
    • Biochemical and Molecular Research 3
    • RNA and protein synthesis mechanisms 3
    • Trypanosoma species research and implications 14

Zsófia Pálfi

26 papers receiving 648 citations

Peers

Zsófia Pálfi
Comparison fields: 5 of 57
  • Epidemiology 361
  • Cardiology and Cardiovascular Medicine 237
  • Molecular Biology 477
  • Aging 12
  • Physiology 14
Replace Donna J. Koslowsky with:
Donna J. Koslowsky United States
Inna Aphasizheva United States
Louise Ellis United Kingdom
Elke K. Horn Switzerland
Danielle Maria Nascimento Moura Brazil
Dale Lindsley United States
Vinícius Santana Nunes Brazil
Helena Webb United Kingdom
Nancy Ramia United States
Noemí Fernández Spain
Zsófia Pálfi relative to Donna J. Koslowsky United States Donna J. Koslowsky's profile →
Citations per field
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Donna J. Koslowsky · 1×
Citations per year

Countries citing papers authored by Zsófia Pálfi

Since Specialization
Citations

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

Fields of papers citing papers by Zsófia Pálfi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198563
2 200056
3 199156
4 199148
5 199239
6 200534
7 199634
8 200933
9 199428
10 198724
11 199923
12 198823
13 199123
14 200622
15 199322
16 199122
17 198920
18 199119
19 200219
20 201013

About Zsófia Pálfi

Zsófia Pálfi is a scholar working on Molecular Biology, Epidemiology, Cardiology and Cardiovascular Medicine, Plant Science and Genetics, having authored 26 papers that have together received 668 indexed citations. Recurring topics across this work include Trypanosoma species research and implications (14 papers), Cardiomyopathy and Myosin Studies (11 papers), RNA modifications and cancer (7 papers), RNA Research and Splicing (5 papers), Viral Infections and Immunology Research (5 papers), Plant Virus Research Studies (4 papers), Biochemical and Molecular Research (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Epidemiology (361 citations), Cardiology and Cardiovascular Medicine (237 citations), Molecular Biology (477 citations), Aging (12 citations) and Physiology (14 citations). Zsófia Pálfi has collaborated with scholars based in Germany, Hungary and United States. Frequent co-authors include Albrecht Bindereif, Arthur Günzl, Mike Cross, G. Borbély, Stephan Lücke, William S. Lane, Guoliang Xu, Michael Cross, Ferenc Solymosy and Christian Preußer. Their work appears in journals such as Journal of Biological Chemistry, Nucleic Acids Research, Molecular and Cellular Biology, The EMBO Journal and Journal of Bacteriology.

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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