Dávid Bajusz

54 papers and 2.2k indexed citations i.

About

Dávid Bajusz is a scholar working on Molecular Biology, Computational Theory and Mathematics and Oncology. According to data from OpenAlex, Dávid Bajusz has authored 54 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 25 papers in Computational Theory and Mathematics and 13 papers in Oncology. Recurrent topics in Dávid Bajusz’s work include Computational Drug Discovery Methods (25 papers), Cytokine Signaling Pathways and Interactions (9 papers) and Machine Learning in Materials Science (5 papers). Dávid Bajusz is often cited by papers focused on Computational Drug Discovery Methods (25 papers), Cytokine Signaling Pathways and Interactions (9 papers) and Machine Learning in Materials Science (5 papers). Dávid Bajusz collaborates with scholars based in Hungary, United States and Austria. Dávid Bajusz's co-authors include Anita Rácz, Károly Héberger, György M. Keserű, György G. Ferenczy, Ramón Alain Miranda‐Quintana, M. P. Takács, István Fábián, Zsuzsa Baranyai, Gábor Lente and József Kalmár and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Dávid Bajusz i

Fields of papers citing papers by Dávid Bajusz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dávid Bajusz. 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 Dávid Bajusz. The network helps show where Dávid Bajusz may publish in the future.

Countries citing papers authored by Dávid Bajusz

Since Specialization
Citations

This map shows the geographic impact of Dávid Bajusz'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 Dávid Bajusz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dávid Bajusz more than expected).

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.

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