Tibor Pál

3.0k citations
86 papers · 2.5k · h-index 33

Impact in

Papers in

    • Escherichia coli research studies 35
    • Enterobacteriaceae and Cronobacter Research 9
    • Antibiotic Resistance in Bacteria 40

Tibor Pál

86 papers receiving 2.4k citations

Peers

Tibor Pál
Comparison fields: 5 of 100
  • Molecular Medicine 1.0k
  • Endocrinology 982
  • Applied Microbiology and Biotechnology 155
  • Microbiology 443
  • Infectious Diseases 502
Replace Daniel V. Zurawski with:
Daniel V. Zurawski United States
María Tomás Spain
Brian M. Forde Australia
Rafael López-Rojas Spain
M. R. Mulvey Canada
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Lucinda M. C. Hall United Kingdom
Céline M. Lévesque Canada
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Citations per field
00.5×1.6×
Daniel V. Zurawski · 1×
Citations per year

Countries citing papers authored by Tibor Pál

Since Specialization
Citations

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

Fields of papers citing papers by Tibor Pál

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 86 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198685
2 200885
3 201878
4 201577
5 198976
6 201375
7 200772
8 201669
9 201167
10 200363
11 200462
12 200361
13 201757
14 200255
15 201053
16 201953
17 200750
18 200649
19 200549
20 200646

About Tibor Pál

Tibor Pál is a scholar working on Endocrinology, Molecular Medicine, Infectious Diseases, Food Science and Molecular Biology, having authored 86 papers that have together received 2.5k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (40 papers), Escherichia coli research studies (35 papers), Viral gastroenteritis research and epidemiology (19 papers), Salmonella and Campylobacter epidemiology (14 papers), Pharmaceutical and Antibiotic Environmental Impacts (11 papers), Antimicrobial Peptides and Activities (10 papers), Enterobacteriaceae and Cronobacter Research (9 papers) and Clostridium difficile and Clostridium perfringens research (7 papers). The work is most often cited by research in Molecular Medicine (1.0k citations), Endocrinology (982 citations), Applied Microbiology and Biotechnology (155 citations), Microbiology (443 citations) and Infectious Diseases (502 citations). Tibor Pál has collaborated with scholars based in United Arab Emirates, Hungary and Kuwait. Frequent co-authors include Ágnes Sonnevend, Akela Ghazawi, J. Michael Conlon, Rayhan Hashmey, Vincent O. Rotimi, Wafaa Jamal, Thomas L. Hale, Gábor Nagy, Anjali Pal and Levente Emödy. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Medical Microbiology, International Journal of Antimicrobial Agents, International Journal of Infectious Diseases and Diagnostic Microbiology and Infectious Disease.

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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