J. Nagy

1.2k citations
70 papers · 925 · h-index 17

Impact in

Papers in

J. Nagy

68 papers receiving 857 citations

Peers

J. Nagy
Comparison fields: 5 of 114
  • Animal Science and Zoology 284
  • Behavioral Neuroscience 33
  • Microbiology 54
  • Food Science 131
  • Cellular and Molecular Neuroscience 117
Replace Paola Roncada with:
Paola Roncada Italy
H Saïed Iran
Giulio Soldani Italy
Michael T. Kidd United States
Jana Frahm Germany
S. Stoev Bulgaria
V. Ferraz-de-Paula Brazil
M.L. Pinheiro Brazil
C. A. Henderson United States
Sabry M. El-Bahr Saudi Arabia
J. Nagy relative to Paola Roncada Italy Paola Roncada's profile →
Citations per field
00.5×4.1×
Paola Roncada · 1×
Citations per year

Countries citing papers authored by J. Nagy

Since Specialization
Citations

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

Fields of papers citing papers by J. Nagy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017123
2 1979118
3 199463
4 200352
5 200641
6 197941
7 200538
8 198033
9 202028
10 200026
11 202322
12
Determination of oxytetracycline residues in milk with the use of HPLC method and two microbial inhibition assays
200320
13 202118
14 201418
15 200718
16 197917
17 201816
18
An improved method for the preparation of highly purified satietin samples from human serum.
198215
19 202113
20 201213

About J. Nagy

J. Nagy is a scholar working on Animal Science and Zoology, Molecular Biology, Food Science, Microbiology and Plant Science, having authored 70 papers that have together received 925 indexed citations. Recurring topics across this work include Meat and Animal Product Quality (16 papers), Animal Nutrition and Physiology (12 papers), Advanced Chemical Sensor Technologies (6 papers), Analytical Chemistry and Chromatography (4 papers), Pharmaceutical and Antibiotic Environmental Impacts (4 papers), Humic Substances and Bio-Organic Studies (4 papers), Neuroscience and Neuropharmacology Research (4 papers) and Microbial infections and disease research (4 papers). The work is most often cited by research in Animal Science and Zoology (284 citations), Behavioral Neuroscience (33 citations), Microbiology (54 citations), Food Science (131 citations) and Cellular and Molecular Neuroscience (117 citations). J. Nagy has collaborated with scholars based in Slovakia, Hungary and United States. Frequent co-authors include Slavomí­r Marcinčák, Peter Popelka, Boris Semjon, Huba Kalász, Tatiana Klempová, Milan Čertí­k, J. Kisary, Zoltán Zádori, Thomas P. Singer and W C Kenney. Their work appears in journals such as Poultry Science, Life, Applied Sciences, Animals and Neuropharmacology.

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.

Explore authors with similar magnitude of impact