Vlado Dančík

9.2k total citations · 2 hit papers
39 papers, 3.2k citations indexed

About

Vlado Dančík is a scholar working on Molecular Biology, Computational Theory and Mathematics and Surgery. According to data from OpenAlex, Vlado Dančík has authored 39 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 10 papers in Computational Theory and Mathematics and 5 papers in Surgery. Recurrent topics in Vlado Dančík's work include Computational Drug Discovery Methods (9 papers), Protein Structure and Dynamics (7 papers) and Mass Spectrometry Techniques and Applications (5 papers). Vlado Dančík is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Protein Structure and Dynamics (7 papers) and Mass Spectrometry Techniques and Applications (5 papers). Vlado Dančík collaborates with scholars based in United States, Slovakia and Austria. Vlado Dančík's co-authors include Paul A. Clemons, Bridget K. Wagner, Monica Schenone, Pavel A. Pevzner, Theresa A. Addona, James E. Vath, Karl R. Clauser, Stuart L. Schreiber, Elizaveta S. Leshchiner and Yuen‐Yi Tseng and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Vlado Dančík

39 papers receiving 3.2k citations

Hit Papers

align trajectories sort by overperformance

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.

Target identification and mechanism of action in chemical biology and drug discovery

2013 745 citations Monica Schenone, Vlado Dančík et al. Nature Chemical Biology profile →
A GPX4-dependent cancer cell state underlies the clear-cell morphology and confers sensitivity to ferroptosis

2019 663 citations Maria Kost‐Alimova, Vlado Dančík et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vlado Dančík United States	22	2.3k	598	537	463	437	39	3.2k
Hsueh‐Fen Juan Taiwan	40	3.2k 1.4×	239 0.4×	315 0.6×	1.1k 2.4×	318 0.7×	165	4.8k
Daniel Martinez Molina Sweden	16	3.1k 1.3×	549 0.9×	166 0.3×	262 0.6×	527 1.2×	20	4.3k
Elena Papaleo Denmark	36	3.5k 1.5×	245 0.4×	188 0.4×	393 0.8×	377 0.9×	134	4.5k
Mark Waltham Australia	29	3.9k 1.7×	329 0.6×	296 0.6×	858 1.9×	274 0.6×	72	5.4k
Hsuan‐Cheng Huang Taiwan	35	2.5k 1.1×	145 0.2×	199 0.4×	872 1.9×	297 0.7×	160	4.1k
Leming Shi China	35	2.0k 0.9×	127 0.2×	256 0.5×	660 1.4×	728 1.7×	97	3.8k
Rozbeh Jafari Sweden	9	2.6k 1.1×	514 0.9×	139 0.3×	267 0.6×	434 1.0×	25	3.6k
Douglas S. Auld United States	42	4.8k 2.1×	275 0.5×	148 0.3×	1.0k 2.2×	1.1k 2.5×	120	7.1k
David Gfeller Switzerland	38	3.8k 1.7×	134 0.2×	587 1.1×	582 1.3×	652 1.5×	73	6.8k
Uwe Scherf United States	22	3.7k 1.6×	140 0.2×	217 0.4×	647 1.4×	383 0.9×	32	4.9k

Countries citing papers authored by Vlado Dančík

Since Specialization

Citations

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

Fields of papers citing papers by Vlado Dančík

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vlado Dančík

This figure shows the co-authorship network connecting the top 25 collaborators of Vlado Dančík. A scholar is included among the top collaborators of Vlado Dančík 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 Vlado Dančík. Vlado Dančík is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Moshkov, Nikita, Tim Becker, Kevin Yang, et al.. (2023). Predicting compound activity from phenotypic profiles and chemical structures. Nature Communications. 14(1). 1967–1967. 40 indexed citations

Kost‐Alimova, Maria, Kumiko Ayukawa, Carol Khodier, et al.. (2022). Phenotypic Screening for Small Molecules that Protect β-Cells from Glucolipotoxicity. ACS Chemical Biology. 17(5). 1131–1142. 3 indexed citations

Clemons, Paul A., Joshua A. Bittker, Florence F. Wagner, et al.. (2021). The Use of Informer Sets in Screening: Perspectives on an Efficient Strategy to Identify New Probes. SLAS DISCOVERY. 26(7). 855–861. 4 indexed citations

Afeyan, Lena K., Vlado Dančík, Luke W. Koblan, et al.. (2019). High-resolution specificity profiling and off-target prediction for site-specific DNA recombinases. Nature Communications. 10(1). 1937–1937. 30 indexed citations

Bray, Mark‐Anthony, Sigrun Gustafsdottir, Mohammad Hossein Rohban, et al.. (2017). A dataset of images and morphological profiles of 30 000 small-molecule treatments using the Cell Painting assay. GigaScience. 6(12). 1–5. 110 indexed citations

Dirice, Ercument, Deepika Walpita, Amedeo Vetere, et al.. (2016). Inhibition of DYRK1A Stimulates Human β-Cell Proliferation. Diabetes. 65(6). 1660–1671. 150 indexed citations

Vetere, Amedeo, Deepika Walpita, Vlado Dančík, et al.. (2015). High-Throughput Luminescent Reporter of Insulin Secretion for Discovering Regulators of Pancreatic Beta-Cell Function. Cell Metabolism. 21(1). 126–137. 82 indexed citations

Dančík, Vlado, Nicole E. Bodycombe, Kathleen Petri Seiler, et al.. (2014). Connecting Small Molecules with Similar Assay Performance Profiles Leads to New Biological Hypotheses. SLAS DISCOVERY. 19(5). 771–781. 20 indexed citations

Wawer, Mathias J., David E. Jaramillo, Vlado Dančík, et al.. (2014). Automated Structure–Activity Relationship Mining: Connecting Chemical Structure to Biological Profiles. SLAS DISCOVERY. 19(5). 738–748. 17 indexed citations

10.

Sundberg, Thomas B., Hwan Geun Choi, Joo‐Hye Song, et al.. (2014). Small-molecule screening identifies inhibition of salt-inducible kinases as a therapeutic strategy to enhance immunoregulatory functions of dendritic cells. Proceedings of the National Academy of Sciences. 111(34). 12468–12473. 69 indexed citations

11.

Schenone, Monica, Vlado Dančík, Bridget K. Wagner, & Paul A. Clemons. (2013). Target identification and mechanism of action in chemical biology and drug discovery. Nature Chemical Biology. 9(4). 232–240. 745 indexed citations breakdown →

12.

Fomina‐Yadlin, Dina, Stefan Kubicek, Deepika Walpita, et al.. (2010). Small-molecule inducers of insulin expression in pancreatic α-cells. Proceedings of the National Academy of Sciences. 107(34). 15099–15104. 58 indexed citations

13.

Dančík, Vlado, Kathleen Petri Seiler, Damian W. Young, Stuart L. Schreiber, & Paul A. Clemons. (2010). Distinct Biological Network Properties between the Targets of Natural Products and Disease Genes. Journal of the American Chemical Society. 132(27). 9259–9261. 57 indexed citations

14.

Robison, Keith, Eric S. Lightcap, Vlado Dančík, et al.. (2005). Edge‐count probabilities for the identification of local protein communities and their organization. Proteins Structure Function and Bioinformatics. 62(3). 800–818. 24 indexed citations

15.

Pradines, Joël, Laura A. Rudolph‐Owen, John Hunter, et al.. (2004). Detection of Activity Centers in Cellular Pathways Using Transcript Profiling. Journal of Biopharmaceutical Statistics. 14(3). 701–721. 10 indexed citations

16.

Dančík, Vlado, Theresa A. Addona, Karl R. Clauser, James E. Vath, & Pavel A. Pevzner. (1999). De Novo Peptide Sequencing via Tandem Mass Spectrometry. Journal of Computational Biology. 6(3-4). 327–342. 422 indexed citations

17.

Dančík, Vlado, et al.. (1998). Estimation for Restriction Sites Observed by Optical Mapping Using Reversible-Jump Markov Chain Monte Carlo. Journal of Computational Biology. 5(3). 505–515. 10 indexed citations

18.

Agarwala, Richa, Serafim Batzoglou, Vlado Dančík, et al.. (1997). Local rules for protein folding on a triangular lattice and generalized hydrophobicity in the HP model. Symposium on Discrete Algorithms. 390–399. 5 indexed citations

19.

Dančík, Vlado & Michael S. Waterman. (1997). Simple Maximum Likelihood Methods for the Optical Mapping Problem. Proceedings Genome Informatics Workshop/Genome informatics. 8. 1–8. 3 indexed citations

20.

Dančík, Vlado, et al.. (1997). Hardness of Flip-Cut Problems from Optical Mapping. Journal of Computational Biology. 4(2). 119–125. 7 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.

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