Laszlo Zsak

6.5k citations
83 papers · 5.1k indexed · h-index 40

Impact in

Papers in

Laszlo Zsak

83 papers receiving 4.9k citations

Peers

Laszlo Zsak
Comparison fields: 5 of 78
  • Virology 1.2k
  • Agronomy and Crop Science 1.9k
  • Animal Science and Zoology 1.0k
  • Ecology, Evolution, Behavior and Systematics 1.6k
  • Infectious Diseases 1.3k
Replace G. F. Kutish with:
G. F. Kutish United States
E. R. Tulman United States
P. F. Nettleton United Kingdom
Peter W. Mason United States
Claudio L. Afonso United States
Sharon M. Brookes United Kingdom
Adama Diallo Austria
A. L. J. Gielkens Netherlands
J.T. van Oirschot Netherlands
Hiroomi Akashi Japan
Laszlo Zsak relative to G. F. Kutish United States G. F. Kutish's profile →
Citations per field
00.5×1.5×
G. F. Kutish · 1×
Citations per year

Countries citing papers authored by Laszlo Zsak

Since Specialization
Citations

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

Fields of papers citing papers by Laszlo Zsak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201911
2 20187
3 201717
4 201715
5 20164
6 201532
7 20138
8 20135
9 201016
10 201048
11 200910
12 200855
13 2004197
14 200271
15 2001317
16 199759
17 199763
18 199383
19
Molecular epidemiology of Aujeszky virus. IV. Characterization and origin of virus strains isolated in Hajdú-Bihar and Szabolcs-Szatmár-Bereg counties, Hungary.
19901
20 199010

About Laszlo Zsak

Laszlo Zsak is a scholar working on Animal Science and Zoology, Agronomy and Crop Science, Virology, Infectious Diseases and Ecology, Evolution, Behavior and Systematics, having authored 83 papers that have together received 5.1k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (28 papers), Animal Virus Infections Studies (28 papers), Animal Disease Management and Epidemiology (27 papers), Vector-Borne Animal Diseases (26 papers), Viral gastroenteritis research and epidemiology (24 papers), Virus-based gene therapy research (20 papers), Viral Infections and Immunology Research (15 papers) and Virology and Viral Diseases (15 papers). The work is most often cited by research in Virology (1.2k citations), Agronomy and Crop Science (1.9k citations), Animal Science and Zoology (1.0k citations), Ecology, Evolution, Behavior and Systematics (1.6k citations) and Infectious Diseases (1.3k citations). Laszlo Zsak has collaborated with scholars based in United States, China and Hungary. Frequent co-authors include Daniel L. Rock, G. F. Kutish, Zhiqiang Lu, Claudio L. Afonso, E. R. Tulman, John G. Neilan, J. Michael Day, Tamar Ben‐Porat, T. G. Burrage and Federico A. Zuckermann. Their work appears in journals such as Journal of Virology, Avian Diseases, Journal of General Virology, Virology and Avian Pathology.

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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