Dávid Bajusz

4.1k total citations · 2 hit papers
55 papers, 2.5k citations indexed

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 55 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 26 papers in Computational Theory and Mathematics and 14 papers in Oncology. Recurrent topics in Dávid Bajusz's work include Computational Drug Discovery Methods (26 papers), Cytokine Signaling Pathways and Interactions (10 papers) and Machine Learning in Materials Science (5 papers). Dávid Bajusz is often cited by papers focused on Computational Drug Discovery Methods (26 papers), Cytokine Signaling Pathways and Interactions (10 papers) and Machine Learning in Materials Science (5 papers). Dávid Bajusz collaborates with scholars based in Hungary, United States and Canada. Dávid Bajusz's co-authors include Anita Rácz, Károly Héberger, György M. Keserű, Ramón Alain Miranda‐Quintana, György G. Ferenczy, Zsuzsa Baranyai, József Kalmár, Gábor Lente, M. P. Takács and István Fábián and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Scientific Reports.

In The Last Decade

Dávid Bajusz

54 papers receiving 2.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Why is Tanimoto index an appropriate choice for fingerprint-based similarity calculations?

2015 972 citations Dávid Bajusz, Anita Rácz et al. Journal of Cheminformatics profile →
Effect of Dataset Size and Train/Test Split Ratios in QSAR/QSPR Multiclass Classification

2021 199 citations Anita Rácz, Dávid Bajusz et al. Molecules profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Dávid Bajusz Hungary	21	1.1k	1.1k	383	250	202	55	2.5k
Khalil Azzaoui Morocco	24	1.3k 1.2×	1.0k 0.9×	553 1.4×	265 1.1×	265 1.3×	118	2.7k
Marjana Novič Slovenia	29	918 0.8×	1.0k 1.0×	209 0.5×	575 2.3×	342 1.7×	145	3.0k
Nina Jeliazkova United Kingdom	25	1.5k 1.4×	915 0.8×	590 1.5×	273 1.1×	215 1.1×	67	2.7k
Xiangrong Liu China	36	819 0.8×	2.5k 2.3×	550 1.4×	215 0.9×	384 1.9×	199	4.6k
Kamel Mansouri United States	25	1.7k 1.5×	1.1k 1.0×	409 1.1×	215 0.9×	350 1.7×	52	4.0k
Kimito Funatsu Japan	36	1.6k 1.5×	1.1k 1.0×	695 1.8×	402 1.6×	404 2.0×	229	4.3k
Snežana Agatonović-Kuštrin Australia	33	514 0.5×	725 0.7×	307 0.8×	329 1.3×	330 1.6×	130	4.1k
Grace Patlewicz United States	46	2.5k 2.3×	1.2k 1.1×	359 0.9×	617 2.5×	289 1.4×	172	7.7k
Horacio Pérez‐Sánchez Spain	34	954 0.9×	1.8k 1.7×	409 1.1×	595 2.4×	242 1.2×	219	4.2k

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).

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.

Co-authorship network of co-authors of Dávid Bajusz

This figure shows the co-authorship network connecting the top 25 collaborators of Dávid Bajusz. A scholar is included among the top collaborators of Dávid Bajusz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dávid Bajusz. Dávid Bajusz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Poór, Miklós, et al.. (2024). In Vitro Evaluation of Antipseudomonal Activity and Safety Profile of Peptidomimetic Furin Inhibitors. Biomedicines. 12(9). 2075–2075.

Bajusz, Dávid, Rita Börzsei, Janez Ilaš, et al.. (2024). Effect of Water Networks On Ligand Binding: Computational Predictions vs Experiments. Journal of Chemical Information and Modeling. 64(23). 8980–8998. 3 indexed citations

Siragusa, Lydia, Simon Cross, Noel M. O’Boyle, et al.. (2024). Comparative Study of Allosteric GPCR Binding Sites and Their Ligandability Potential. Journal of Chemical Information and Modeling. 64(21). 8176–8192. 8 indexed citations

Monostory, Katalin, et al.. (2024). PK/PD investigation of antiviral host matriptase/TMPRSS2 inhibitors in cell models. Scientific Reports. 14(1). 16621–16621. 4 indexed citations

Bajusz, Dávid, et al.. (2023). SH2db, an information system for the SH2 domain. Nucleic Acids Research. 51(W1). W542–W552. 5 indexed citations

Rácz, Anita, et al.. (2022). Molecular Dynamics Simulations and Diversity Selection by Extended Continuous Similarity Indices. Journal of Chemical Information and Modeling. 62(14). 3415–3425. 30 indexed citations

Miranda‐Quintana, Ramón Alain, Dávid Bajusz, Anita Rácz, & Károly Héberger. (2021). Differential Consistency Analysis: Which Similarity Measures can be Applied in Drug Discovery?. Molecular Informatics. 40(7). e2060017–e2060017. 14 indexed citations

Rácz, Anita, Dávid Bajusz, & Károly Héberger. (2021). Effect of Dataset Size and Train/Test Split Ratios in QSAR/QSPR Multiclass Classification. Molecules. 26(4). 1111–1111. 199 indexed citations breakdown →

Miranda‐Quintana, Ramón Alain, Dávid Bajusz, Anita Rácz, & Károly Héberger. (2021). Extended similarity indices: the benefits of comparing more than two objects simultaneously. Part 1: Theory and characteristics†. Journal of Cheminformatics. 13(1). 32–32. 40 indexed citations

10.

Miranda‐Quintana, Ramón Alain, Anita Rácz, Dávid Bajusz, & Károly Héberger. (2021). Extended similarity indices: the benefits of comparing more than two objects simultaneously. Part 2: speed, consistency, diversity selection. Journal of Cheminformatics. 13(1). 33–33. 34 indexed citations

11.

Rácz, Anita, Dávid Bajusz, Ramón Alain Miranda‐Quintana, & Károly Héberger. (2021). Machine learning models for classification tasks related to drug safety. Molecular Diversity. 25(3). 1409–1424. 32 indexed citations

12.

Bajusz, Dávid, et al.. (2021). Discovery of a Non-Nucleoside SETD2 Methyltransferase Inhibitor against Acute Myeloid Leukemia. International Journal of Molecular Sciences. 22(18). 10055–10055. 10 indexed citations

13.

Petri, László, Attila Egyed, Dávid Bajusz, et al.. (2020). An electrophilic warhead library for mapping the reactivity and accessibility of tractable cysteines in protein kinases. European Journal of Medicinal Chemistry. 207. 112836–112836. 35 indexed citations

14.

Bajusz, Dávid, Anita Rácz, & Károly Héberger. (2019). Comparison of Data Fusion Methods as Consensus Scores for Ensemble Docking. Molecules. 24(15). 2690–2690. 13 indexed citations

15.

Rácz, Anita, Dávid Bajusz, & Károly Héberger. (2019). Multi-Level Comparison of Machine Learning Classifiers and Their Performance Metrics. Molecules. 24(15). 2811–2811. 88 indexed citations

16.

Rácz, Anita, Filip Andrić, Dávid Bajusz, & Károly Héberger. (2018). Binary similarity measures for fingerprint analysis of qualitative metabolomic profiles. Metabolomics. 14(3). 29–29. 16 indexed citations

17.

Rácz, Anita, Dávid Bajusz, & Károly Héberger. (2018). Life beyond the Tanimoto coefficient: similarity measures for interaction fingerprints. Journal of Cheminformatics. 10(1). 48–48. 82 indexed citations

18.

Rácz, Anita, Dávid Bajusz, & Károly Héberger. (2018). Modelling methods and cross-validation variants in QSAR: a multi-level analysis^$. SAR and QSAR in environmental research. 29(9). 661–674. 43 indexed citations

19.

Rácz, Anita, Attila Gere, Dávid Bajusz, & Károly Héberger. (2017). Is soft independent modeling of class analogies a reasonable choice for supervised pattern recognition?. RSC Advances. 8(1). 10–21. 35 indexed citations

20.

Rácz, Anita, Dávid Bajusz, Marietta Fodor, & Károly Héberger. (2015). Comparison of classification methods with “n-class” receiver operating characteristic curves: A case study of energy drinks. Chemometrics and Intelligent Laboratory Systems. 151. 34–43. 11 indexed citations

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.

Explore authors with similar magnitude of impact