László Pál

553 citations
47 papers · 408 · h-index 12

Impact in

Papers in

László Pál

44 papers receiving 391 citations

Peers

László Pál
Comparison fields: 5 of 47
  • Animal Science and Zoology 242
  • Aquatic Science 41
  • Process Chemistry and Technology 7
  • Food Science 31
  • Equine 3
Replace Prashant Shinde with:
Prashant Shinde South Korea
Mahmoud H. Farahat Egypt
Abdulaziz A. Al-Abdullatif Saudi Arabia
J. Y. Choi South Korea
Sarfraz Ali Fazlani Pakistan
Tiago Goulart Petrolli Brazil
M. Manafi Iran
T. Steiner Austria
C.A. Fritts United States
Illahi Bakhash Marghazani Pakistan
László Pál relative to Prashant Shinde South Korea Prashant Shinde's profile →
Citations per field
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Prashant Shinde · 1×
Citations per year

Countries citing papers authored by László Pál

Since Specialization
Citations

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

Fields of papers citing papers by László Pál

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201435
2 202229
3 202027
4 200525
5 202025
6 202022
7 202122
8 201520
9 202119
10 202318
11 200915
12 202115
13 202312
14 201010
15 201510
16 20159
17 20239
18 20218
19 20027
20 20237

About László Pál

László Pál is a scholar working on Animal Science and Zoology, Aquatic Science, Microbiology, Agronomy and Crop Science and Food Science, having authored 47 papers that have together received 408 indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (31 papers), Meat and Animal Product Quality (4 papers), Aquaculture Nutrition and Growth (3 papers), Mycotoxins in Agriculture and Food (3 papers), Antimicrobial Peptides and Activities (2 papers), Effects of Environmental Stressors on Livestock (2 papers), Salmonella and Campylobacter epidemiology (2 papers) and Ruminant Nutrition and Digestive Physiology (2 papers). The work is most often cited by research in Animal Science and Zoology (242 citations), Aquatic Science (41 citations), Process Chemistry and Technology (7 citations), Food Science (31 citations) and Equine (3 citations). László Pál has collaborated with scholars based in Hungary, Austria and Egypt. Frequent co-authors include Károly Dublecz, Ferenc Húsvéth, Andor Molnár, Máté Mackei, Zsuzsanna Neogrády, Claudia Hess, Gábor Mátis, Balázs Kucska, Tamás Müller and Wageha A. Awad. Their work appears in journals such as Animals, Frontiers in Veterinary Science, Veterinary Sciences, Animal Feed Science and Technology and Poultry Science.

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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