Mária Vas
Impact in
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism
- Molecular Biology top 10%
- Protein Structure and Dynamics
- Biochemical and Molecular Research
- Protein Kinase Regulation and GTPase Signaling
- Metabolism, Diabetes, and Cancer
Papers in
-
- Protein Structure and Dynamics 23
- Biochemical and Molecular Research 17
- Protein Kinase Regulation and GTPase Signaling 13
- Metabolism, Diabetes, and Cancer 12
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- Enzyme Structure and Function 38
- Co-authors
- Andrea Varga (20 shared papers)Karl Harlos (3 shared papers)Beáta Flachner (10 shared papers)Péter Závodszky (20 shared papers)J. Szabó (8 shared papers)József Batke (3 shared papers)Angelo Merli (8 shared papers)Michael A. Sinev (3 shared papers)
In The Last Decade
Mária Vas
66 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 92
- Biochemistry 137
- Molecular Biology 981
- Materials Chemistry 606
- Cell Biology 182
- Virology 41
Countries citing papers authored by Mária Vas
This map shows the geographic impact of Mária Vas'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 Mária Vas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mária Vas more than expected).
Fields of papers citing papers by Mária Vas
This network shows the impact of papers produced by Mária Vas. 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 Mária Vas. The network helps show where Mária Vas may publish in the future.
Co-authors
The 25 scholars most cited alongside Mária Vas, 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 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1992 | 98 | |
| 2 | 2010 | 80 | |
| 3 | 2001 | 55 | |
| 4 | 2011 | 52 | |
| 5 | 1989 | 46 | |
| 6 | 2004 | 41 | |
| 7 | 2008 | 40 | |
| 8 | 2008 | 36 | |
| 9 | 2008 | 35 | |
| 10 | 1986 | 35 | |
| 11 | 1996 | 33 | |
| 12 | 2010 | 30 | |
| 13 | 1983 | 30 | |
| 14 | 2005 | 26 | |
| 15 | 2006 | 26 | |
| 16 | 2002 | 25 | |
| 17 | 2005 | 24 | |
| 18 | 1993 | 23 | |
| 19 | 2008 | 22 | |
| 20 | 1991 | 20 |
About Mária Vas
Mária Vas is a scholar working on Molecular Biology, Materials Chemistry, Cell Biology, Biochemistry and Clinical Biochemistry, having authored 66 papers that have together received 1.2k indexed citations. Recurring topics across this work include Enzyme Structure and Function (38 papers), Protein Structure and Dynamics (23 papers), Biochemical and Molecular Research (17 papers), Protein Kinase Regulation and GTPase Signaling (13 papers), Metabolism, Diabetes, and Cancer (12 papers), Amino Acid Enzymes and Metabolism (12 papers), Hemoglobin structure and function (9 papers) and Metabolism and Genetic Disorders (7 papers). The work is most often cited by research in Biochemistry (137 citations), Molecular Biology (981 citations), Materials Chemistry (606 citations), Cell Biology (182 citations) and Virology (41 citations). Mária Vas has collaborated with scholars based in Hungary, France and Italy. Frequent co-authors include Andrea Varga, Karl Harlos, Beáta Flachner, Péter Závodszky, J. Szabó, József Batke, Angelo Merli, Michael A. Sinev, Imre Cserpán and Minakshi Ghosh. Their work appears in journals such as European Journal of Biochemistry, Biochemistry, FEBS Letters, Proteins Structure Function and Bioinformatics and Journal of Biological Chemistry.
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.