Dániel Erös
Impact in
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- Computational Drug Discovery Methods
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- Synthesis and biological activity
Papers in
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- Chemical Synthesis and Analysis 2
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- Computational Drug Discovery Methods 8
- Co-authors
- László Őrfi (16 shared papers)Gÿorgý Kéri (12 shared papers)István Kövesdi (5 shared papers)Miklós Idei (5 shared papers)Ferenc Hollósy (5 shared papers)Csaba Szántai-Kis (6 shared papers)Krisztina Takács‐Novák (1 shared paper)Tamás Lóránd (4 shared papers)
In The Last Decade
Dániel Erös
18 papers receiving 416 citations
Peers
Comparison fields: 5 of 79
- Computational Theory and Mathematics 115
- Organic Chemistry 127
- Spectroscopy 59
- Infectious Diseases 57
- Filtration and Separation 7
Countries citing papers authored by Dániel Erös
This map shows the geographic impact of Dániel Erös'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 Dániel Erös with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dániel Erös more than expected).
Fields of papers citing papers by Dániel Erös
This network shows the impact of papers produced by Dániel Erös. 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 Dániel Erös. The network helps show where Dániel Erös may publish in the future.
Co-authors
The 25 scholars most cited alongside Dániel Erös, 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 | 2002 | 75 | |
| 2 | 2008 | 62 | |
| 3 | 2007 | 42 | |
| 4 | 2006 | 34 | |
| 5 | 2002 | 33 | |
| 6 | 2004 | 31 | |
| 7 | 2002 | 24 | |
| 8 | 2005 | 23 | |
| 9 | 2003 | 22 | |
| 10 | Tyrosine kinase inhibitors - small molecular weight compounds inhibiting EGFR. | 2009 | 17 |
| 11 | 2008 | 13 | |
| 12 | [Biological activity and structure of antitumor compounds from Plantago media L]. | 1999 | 12 |
| 13 | 2019 | 12 | |
| 14 | 2006 | 11 | |
| 15 | 2002 | 7 | |
| 16 | 2007 | 5 | |
| 17 | 2008 | 4 | |
| 18 | 2009 | 1 |
About Dániel Erös
Dániel Erös is a scholar working on Molecular Biology, Computational Theory and Mathematics, Oncology, Organic Chemistry and Spectroscopy, having authored 18 papers that have together received 428 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (8 papers), HER2/EGFR in Cancer Research (4 papers), Cancer Treatment and Pharmacology (2 papers), Chemical Synthesis and Analysis (2 papers), Synthesis and biological activity (2 papers), Analytical Methods in Pharmaceuticals (2 papers), Analytical Chemistry and Chromatography (2 papers) and Click Chemistry and Applications (1 paper). The work is most often cited by research in Computational Theory and Mathematics (115 citations), Organic Chemistry (127 citations), Spectroscopy (59 citations), Infectious Diseases (57 citations) and Filtration and Separation (7 citations). Dániel Erös has collaborated with scholars based in Hungary, Germany and France. Frequent co-authors include László Őrfi, Gÿorgý Kéri, István Kövesdi, Miklós Idei, Ferenc Hollósy, Csaba Szántai-Kis, Krisztina Takács‐Novák, Tamás Lóránd, Róbert Kiss and Béla Noszál. Their work appears in journals such as Journal of Chromatography B, Current Medicinal Chemistry, European Journal of Medicinal Chemistry, International Immunopharmacology and Journal of Liquid Chromatography & Related Technologies.
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.