László Makrai
Impact in
- Microbiology top 1%
- Microbial infections and disease research
- Endocrinology top 2%
- Infections and bacterial resistance
Papers in
-
- Infectious Disease Case Reports and Treatments 12
- Microbiology 26
- Microbial infections and disease research 26
- Co-authors
- László Fodor (30 shared papers)Miklós Gyuranecz (20 shared papers)Károly Erdélyi (12 shared papers)János Varga (11 shared papers)Béla Dénes (12 shared papers)Tibor Magyar (10 shared papers)Norbert Solymosi (10 shared papers)Levente Szeredi (11 shared papers)
- Journals
- Veterinary Microbiology (10 papers)Scientific Reports (4 papers)Pathogens (4 papers)Journal of Veterinary Diagnostic Investigation (3 papers)Antibiotics (3 papers)
- Partner nations
- HungaryUnited StatesJapan
In The Last Decade
László Makrai
75 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 84
- Microbiology 406
- Endocrinology 183
- Infectious Diseases 410
- Virology 91
- Microbiology 15
Countries citing papers authored by László Makrai
This map shows the geographic impact of László Makrai'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 Makrai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites László Makrai more than expected).
Fields of papers citing papers by László Makrai
This network shows the impact of papers produced by László Makrai. 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 Makrai. The network helps show where László Makrai may publish in the future.
Co-authors
The 25 scholars most cited alongside László Makrai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 83 | |
| 2 | 2012 | 69 | |
| 3 | 2010 | 68 | |
| 4 | 2016 | 58 | |
| 5 | 2002 | 57 | |
| 6 | 2011 | 54 | |
| 7 | 2020 | 50 | |
| 8 | 2011 | 50 | |
| 9 | 2015 | 50 | |
| 10 | 2006 | 46 | |
| 11 | 2016 | 46 | |
| 12 | 2014 | 39 | |
| 13 | 2019 | 37 | |
| 14 | 2020 | 37 | |
| 15 | 1997 | 37 | |
| 16 | 2010 | 36 | |
| 17 | 2005 | 35 | |
| 18 | 2013 | 29 | |
| 19 | 2008 | 27 | |
| 20 | 2012 | 26 |
About László Makrai
László Makrai is a scholar working on Infectious Diseases, Microbiology, Endocrinology, Molecular Biology and Ecology, having authored 79 papers that have together received 1.4k indexed citations. Recurring topics across this work include Microbial infections and disease research (26 papers), Infectious Disease Case Reports and Treatments (12 papers), Bacteriophages and microbial interactions (12 papers), Bacillus and Francisella bacterial research (10 papers), Infections and bacterial resistance (9 papers), Aquaculture disease management and microbiota (9 papers), Yersinia bacterium, plague, ectoparasites research (7 papers) and Streptococcal Infections and Treatments (6 papers). The work is most often cited by research in Microbiology (406 citations), Endocrinology (183 citations), Infectious Diseases (410 citations), Virology (91 citations) and Microbiology (15 citations). László Makrai has collaborated with scholars based in Hungary, United States and Japan. Frequent co-authors include László Fodor, Miklós Gyuranecz, Károly Erdélyi, János Varga, Béla Dénes, Tibor Magyar, Norbert Solymosi, Levente Szeredi, Zsuzsa Kreizinger and Szilárd Jánosi. Their work appears in journals such as Veterinary Microbiology, Scientific Reports, Pathogens, Journal of Veterinary Diagnostic Investigation and Antibiotics.
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.