László Pàlinkàs

717 citations
25 papers · 573 indexed · h-index 13
Topics
T-cell and B-cell Immunology (7 papers)Hepatitis C virus research (6 papers)Immune Cell Function and Interaction (5 papers)

In The Last Decade

László Pàlinkàs

21 papers receiving 552 citations

Peers

László Pàlinkàs
Comparison fields: 5 of 92
  • Immunology 243
  • Molecular Biology 115
  • Epidemiology 82
  • Endocrinology, Diabetes and Metabolism 67
  • Pulmonary and Respiratory Medicine 61
Replace Brenda J. Curtis with:
Brenda J. Curtis United States
E. Schauer Austria
S. Selkirk United Kingdom
David Laperrière Canada
Deborah Andrew United Kingdom
Jessica L. Palmer United States
Hideaki Shirasaki Japan
Caroline Verseijden Netherlands
Kathleen Smoak United States
Gui Yang China
László Pàlinkàs relative to Brenda J. Curtis United States Brenda J. Curtis's profile →
Citations per field
00.5×2.7×
Brenda J. Curtis · 1×
Citations per year

Countries citing papers authored by László Pàlinkàs

Since Specialization
Citations

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

Fields of papers citing papers by László Pàlinkàs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of László Pàlinkàs

This figure shows the co-authorship network connecting the top 25 collaborators of László Pàlinkàs. A scholar is included among the top collaborators of László Pàlinkàs based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with László Pàlinkàs. László Pàlinkàs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 11
2 2
3 51
4 58
5 46
6
Comprehensive investigation of novel serum markers of pulmonary fibrosis associated with systemic sclerosis and dermato/polymyositis.
51
7 22
8 15
9 1
10 16
11 1
12 25
13
[Immunology of HCV infection: the causes of impaired cellular immune response and the effect of antiviral treatment].
8
14 59
15 11
16 22
17 32
18 46
19 8
20 72

About László Pàlinkàs

László Pàlinkàs is a scholar working on Immunology, Hepatology and Biotechnology, having authored 25 papers that have together received 573 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Hepatitis C virus research (6 papers) and Immune Cell Function and Interaction (5 papers). The work is most often cited by research in Behavioral Neuroscience (41 citations), Immunology (243 citations) and Sensory Systems (40 citations). László Pàlinkàs has collaborated with scholars based in Hungary, United States and Switzerland. Frequent co-authors include Tímea Berki, Pèter Németh, Ferenc Boldizsár, Domokos Bartis, Gergely Talabér, László Czirják, Gabór Kumánovics, Tibor Hajtò, Tünde Minier and Tamás Czömpöly. Their work appears in journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Journal of Hepatology.

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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