Laszlo Palkonyay

537 citations
15 papers · 398 · h-index 11

Impact in

  • Epidemiology top 10%
    • Influenza Virus Research Studies
    • Respiratory viral infections research
    • Viral gastroenteritis research and epidemiology

Papers in

    • Influenza Virus Research Studies 9
    • Respiratory viral infections research 5
    • Viral gastroenteritis research and epidemiology 4

Laszlo Palkonyay

15 papers receiving 384 citations

Peers

Laszlo Palkonyay
Comparison fields: 5 of 65
  • Epidemiology 236
  • Infectious Diseases 108
  • Health 33
  • Modeling and Simulation 17
  • Genetics 96
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Citations per field
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Citations per year

Countries citing papers authored by Laszlo Palkonyay

Since Specialization
Citations

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

Fields of papers citing papers by Laszlo Palkonyay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 1986107
2 201172
3 201041
4 201532
5 200923
6 200923
7
Safety and effectiveness of the new inactivated hepatitis A virus vaccine.
199521
8 201018
9
Isolation of variants resistant to methylglyoxal bis(guanylhydrazone) from adenovirus-transformed rat cells.
198718
10 200812
11 200711
12 19878
13 20167
14 20084
15
Possible causes of the loss of specific pBR322-Ad h 1 DNA recombinants following transfection.
19831

About Laszlo Palkonyay

Laszlo Palkonyay is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Health and Agronomy and Crop Science, having authored 15 papers that have together received 398 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (9 papers), Respiratory viral infections research (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Vaccine Coverage and Hesitancy (3 papers), Animal Disease Management and Epidemiology (3 papers), Virus-based gene therapy research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Epidemiology (236 citations), Infectious Diseases (108 citations), Health (33 citations), Modeling and Simulation (17 citations) and Genetics (96 citations). Laszlo Palkonyay has collaborated with scholars based in Switzerland, United States and Canada. Frequent co-authors include Joseph Weber, J Horváth, Yuri Pervikov, Marie Paule Kiény, Marc Girard, Marie-Paule Kiény, Guido Torelli, David D. Wood, Martin Friede and Frederick G. Hayden. Their work appears in journals such as Vaccine, Clinical Rheumatology, Journal of Virology, Biochemical and Biophysical Research Communications and PubMed.

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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