K. Nagy
Impact in
- Virology top 1%
- HIV Research and Treatment
- Agronomy and Crop Science top 1%
- Animal Disease Management and Epidemiology
Papers in
- Virology 20
- HIV Research and Treatment 20
-
- Antibiotic Resistance in Bacteria 11
- Co-authors
- Paul R. ClaphamRichard WeissRobin A. WeissR. Cheingsong‐PopovJan AlbertÉva Mária FenyõBengt AbrahamssonHans Gaines
- Journals
- European Journal of Clinical Microbiology & Infectious Diseases (5 papers)Pathology & Oncology Research (5 papers)Acta Microbiologica et Immunologica Hungarica (26 papers)Neuroreport (2 papers)Journal of Photochemistry and Photobiology B Biology (2 papers)
- Partner nations
- HungaryGermanyUnited States
In The Last Decade
K. Nagy
129 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 130
- Virology 457
- Agronomy and Crop Science 559
- Molecular Medicine 203
- Immunology 855
- Ecology, Evolution, Behavior and Systematics 503
Countries citing papers authored by K. Nagy
This map shows the geographic impact of K. 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 K. Nagy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Nagy more than expected).
Fields of papers citing papers by K. Nagy
This network shows the impact of papers produced by K. 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 K. Nagy. The network helps show where K. Nagy may publish in the future.
Co-authors
The 25 scholars most cited alongside K. Nagy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 22 | |
| 2 | 2017 | 1 | |
| 3 | 2016 | 48 | |
| 4 | 2016 | 21 | |
| 5 | 2016 | 2 | |
| 6 | 2013 | 3 | |
| 7 | 2013 | 10 | |
| 8 | 2011 | 7 | |
| 9 | 2011 | 123 | |
| 10 | 2010 | 2 | |
| 11 | 2009 | 2 | |
| 12 | 2009 | 9 | |
| 13 | 2008 | 29 | |
| 14 | 2008 | 66 | |
| 15 | 2007 | 6 | |
| 16 | 2005 | 19 | |
| 17 | [Perioperative treatment after esophagogastric surgery]. | 2001 | 5 |
| 18 | 1995 | 9 | |
| 19 | Prevalence of HIV-antibodies in patients with haemophilia in Hungary. | 1988 | 1 |
| 20 | 1983 | 3 |
About K. Nagy
K. Nagy is a scholar working on Virology, Molecular Medicine, Infectious Diseases, Clinical Biochemistry and Microbiology, having authored 131 papers that have together received 2.7k indexed citations. Recurring topics across this work include HIV Research and Treatment (20 papers), Antimicrobial Resistance in Staphylococcus (13 papers), T-cell and Retrovirus Studies (13 papers), Photoreceptor and optogenetics research (12 papers), Urinary Tract Infections Management (12 papers), Antibiotic Resistance in Bacteria (11 papers), HIV/AIDS drug development and treatment (10 papers) and Pneumonia and Respiratory Infections (10 papers). The work is most often cited by research in Virology (457 citations), Agronomy and Crop Science (559 citations), Molecular Medicine (203 citations), Immunology (855 citations) and Ecology, Evolution, Behavior and Systematics (503 citations). K. Nagy has collaborated with scholars based in Hungary, Germany and United States. Frequent co-authors include Paul R. Clapham, Richard Weiss, Robin A. Weiss, R. Cheingsong‐Popov, Jan Albert, Éva Mária Fenyõ, Bengt Abrahamsson, Hans Gaines, Elisabeth Aurelius and Rachanee Cheingsong‐Popov. Their work appears in journals such as European Journal of Clinical Microbiology & Infectious Diseases, Pathology & Oncology Research, Acta Microbiologica et Immunologica Hungarica, Neuroreport and Journal of Photochemistry and Photobiology B Biology.
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.