Zsófia Lanszki

449 citations
25 papers · 155 · h-index 8

Impact in

Papers in

Zsófia Lanszki

18 papers receiving 154 citations

Peers

Zsófia Lanszki
Comparison fields: 5 of 51
  • Infectious Diseases 68
  • Virology 12
  • Ecological Modeling 9
  • Parasitology 13
  • Animal Science and Zoology 20
Replace Douglas H. Kerlin with:
Douglas H. Kerlin Australia
Marc Valitutto United States
Dudu Akaibe Democratic Republic of the Congo
Bram Vanden Broecke Belgium
Kongsy Khammavong United States
Jennifer A. Redell United States
Lily Cohen United States
Rebecca K. French New Zealand
Aline S. Tavares Brazil
Marie L. J. Gilbertson United States
Zsófia Lanszki relative to Douglas H. Kerlin Australia Douglas H. Kerlin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Zsófia Lanszki

Since Specialization
Citations

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

Fields of papers citing papers by Zsófia Lanszki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202030
2 201922
3 202219
4 202113
5 202211
6 202210
7 20208
8 20237
9 20197
10 20196
11 20235
12 20224
13 20223
14 20223
15 20242
16 20222
17 20252
18 20251
19 20240
20 20240

About Zsófia Lanszki

Zsófia Lanszki is a scholar working on Infectious Diseases, Ecology, Evolution, Behavior and Systematics, Ecology, Epidemiology and Animal Science and Zoology, having authored 25 papers that have together received 155 indexed citations. Recurring topics across this work include Viral Infections and Vectors (7 papers), Virology and Viral Diseases (5 papers), Animal Virus Infections Studies (4 papers), Wildlife Ecology and Conservation (4 papers), Virus-based gene therapy research (4 papers), Vector-Borne Animal Diseases (4 papers), Viral gastroenteritis research and epidemiology (4 papers) and Animal Disease Management and Epidemiology (4 papers). The work is most often cited by research in Infectious Diseases (68 citations), Virology (12 citations), Ecological Modeling (9 citations), Parasitology (13 citations) and Animal Science and Zoology (20 citations). Zsófia Lanszki has collaborated with scholars based in Hungary, United Kingdom and North Macedonia. Frequent co-authors include Gábor Kemenesi, József Lanszki, Ferenc Jakab, Gábor Endre Tóth, Győző Horváth, Brigitta Zana, Jenő J. Purger, Anna Csiszár, Stefano Tarantini and Teresa G. Valencak. Their work appears in journals such as Scientific Reports, Animals, GeroScience, Transboundary and Emerging Diseases and Mammal Research.

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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