Zoltán Greff
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in
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- Protein Kinase Regulation and GTPase Signaling 3
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- Lung Cancer Treatments and Mutations 4
- Advanced Breast Cancer Therapies 2
- Co-authors
- Gÿorgý Kéri (14 shared papers)Henrik Daub (6 shared papers)Jesper V. Olsen (3 shared papers)Matthias Mann (2 shared papers)Felix Oppermann (2 shared papers)Florian Gnad (2 shared papers)Michaela Bairlein (2 shared papers)Olaf Stemmann (1 shared paper)
In The Last Decade
Zoltán Greff
21 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 91
- Cell Biology 277
- Spectroscopy 266
- Molecular Biology 997
- Oncology 296
- Organic Chemistry 225
Countries citing papers authored by Zoltán Greff
This map shows the geographic impact of Zoltán Greff'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 Zoltán Greff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zoltán Greff more than expected).
Fields of papers citing papers by Zoltán Greff
This network shows the impact of papers produced by Zoltán Greff. 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 Zoltán Greff. The network helps show where Zoltán Greff may publish in the future.
Co-authors
The 25 scholars most cited alongside Zoltán Greff, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 497 | |
| 2 | 2009 | 247 | |
| 3 | 2005 | 199 | |
| 4 | 2004 | 112 | |
| 5 | 2009 | 105 | |
| 6 | 2014 | 73 | |
| 7 | 2014 | 71 | |
| 8 | 2000 | 64 | |
| 9 | 2007 | 35 | |
| 10 | 2006 | 34 | |
| 11 | 2011 | 29 | |
| 12 | 2014 | 12 | |
| 13 | 2013 | 12 | |
| 14 | 2015 | 11 | |
| 15 | 2015 | 9 | |
| 16 | 1995 | 8 | |
| 17 | [Development of PAK1 kinase inhibitors with "in silico" modeling methods]. | 2010 | 3 |
| 18 | 2014 | 2 | |
| 19 | [Pyrido[2,3-b]pyrazines inhibiting both erlotinib-sensitive and erlotinib-resistant cell lines, and their preparation via regioselective condensation reaction]. | 2014 | 2 |
| 20 | 1990 | 1 |
About Zoltán Greff
Zoltán Greff is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Organic Chemistry and Spectroscopy, having authored 21 papers that have together received 1.5k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (4 papers), Lung Cancer Treatments and Mutations (4 papers), Advanced Proteomics Techniques and Applications (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Advanced Breast Cancer Therapies (2 papers), HIV/AIDS drug development and treatment (2 papers), Synthesis and Catalytic Reactions (2 papers) and Tuberculosis Research and Epidemiology (2 papers). The work is most often cited by research in Cell Biology (277 citations), Spectroscopy (266 citations), Molecular Biology (997 citations), Oncology (296 citations) and Organic Chemistry (225 citations). Zoltán Greff has collaborated with scholars based in Hungary, Germany and France. Frequent co-authors include Gÿorgý Kéri, Henrik Daub, Jesper V. Olsen, Matthias Mann, Felix Oppermann, Florian Gnad, Michaela Bairlein, Olaf Stemmann, Roman Körner and Stephanie Blencke. Their work appears in journals such as Current Medicinal Chemistry, Molecular Cell, Journal of Medicinal Chemistry, Nature Methods and PLoS ONE.
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.