Gábor Nagy
Impact in
- Endocrinology top 0.5%
- Escherichia coli research studies
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
Papers in
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- Protein Structure and Dynamics 10
- Lipid Membrane Structure and Behavior 8
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- Escherichia coli research studies 29
- Co-authors
- Jakob B. Sørensen (9 shared papers)Ulrich Dobrindt (14 shared papers)Jörg Hacker (12 shared papers)Erwin Neher (4 shared papers)Levente Emödy (12 shared papers)Eszter Nagy (21 shared papers)Nils Brose (2 shared papers)Ira Milošević (4 shared papers)
In The Last Decade
Gábor Nagy
74 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 125
- Endocrinology 844
- Molecular Medicine 464
- Cell Biology 911
- Physiology 170
- Molecular Biology 1.7k
Countries citing papers authored by Gábor Nagy
This map shows the geographic impact of Gábor 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 Gábor Nagy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gábor Nagy more than expected).
Fields of papers citing papers by Gábor Nagy
This network shows the impact of papers produced by Gábor 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 Gábor Nagy. The network helps show where Gábor Nagy may publish in the future.
Co-authors
The 25 scholars most cited alongside Gábor 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
Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 278 | |
| 2 | 2006 | 275 | |
| 3 | 2006 | 219 | |
| 4 | 2004 | 187 | |
| 5 | 2005 | 182 | |
| 6 | 2002 | 160 | |
| 7 | 2002 | 150 | |
| 8 | 2003 | 122 | |
| 9 | 2005 | 102 | |
| 10 | 2018 | 97 | |
| 11 | 2006 | 97 | |
| 12 | 2006 | 86 | |
| 13 | 2006 | 85 | |
| 14 | 2002 | 82 | |
| 15 | 2019 | 62 | |
| 16 | 2004 | 59 | |
| 17 | 2016 | 57 | |
| 18 | 2012 | 57 | |
| 19 | 2005 | 55 | |
| 20 | 2015 | 47 |
About Gábor Nagy
Gábor Nagy is a scholar working on Molecular Biology, Endocrinology, Molecular Medicine, Infectious Diseases and Genetics, having authored 76 papers that have together received 3.3k indexed citations. Recurring topics across this work include Escherichia coli research studies (29 papers), Antibiotic Resistance in Bacteria (16 papers), Bacterial Genetics and Biotechnology (14 papers), Protein Structure and Dynamics (10 papers), Cellular transport and secretion (9 papers), Viral gastroenteritis research and epidemiology (9 papers), Bacteriophages and microbial interactions (9 papers) and Lipid Membrane Structure and Behavior (8 papers). The work is most often cited by research in Endocrinology (844 citations), Molecular Medicine (464 citations), Cell Biology (911 citations), Physiology (170 citations) and Molecular Biology (1.7k citations). Gábor Nagy has collaborated with scholars based in Germany, Hungary and Austria. Frequent co-authors include Jakob B. Sørensen, Ulrich Dobrindt, Jörg Hacker, Erwin Neher, Levente Emödy, Eszter Nagy, Nils Brose, Ira Milošević, Ralf B. Nehring and Ulf Matti. Their work appears in journals such as Infection and Immunity, Antimicrobial Agents and Chemotherapy, International Journal of Medical Microbiology, Journal of Neuroscience and Journal of Chemical Information and Modeling.
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.