Predrag Radivojac

21.0k total citations · 5 hit papers
145 papers, 10.6k citations indexed

About

Predrag Radivojac is a scholar working on Molecular Biology, Spectroscopy and Genetics. According to data from OpenAlex, Predrag Radivojac has authored 145 papers receiving a total of 10.6k indexed citations (citations by other indexed papers that have themselves been cited), including 115 papers in Molecular Biology, 28 papers in Spectroscopy and 24 papers in Genetics. Recurrent topics in Predrag Radivojac's work include Machine Learning in Bioinformatics (42 papers), Protein Structure and Dynamics (28 papers) and Advanced Proteomics Techniques and Applications (28 papers). Predrag Radivojac is often cited by papers focused on Machine Learning in Bioinformatics (42 papers), Protein Structure and Dynamics (28 papers) and Advanced Proteomics Techniques and Applications (28 papers). Predrag Radivojac collaborates with scholars based in United States, United Kingdom and Russia. Predrag Radivojac's co-authors include A. Keith Dunker, Zoran Obradović, Lilia M. Iakoucheva, Vladimir N. Uversky, Slobodan Vučetić, Kang Peng, Vladimir Vacic, Christopher J. Oldfield, Amrita Mohan and Sean D. Mooney and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Predrag Radivojac

138 papers receiving 10.5k citations

Hit Papers

Length-dependent predicti... 2006 2026 2012 2019 2006 2009 2006 2006 2020 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Predrag Radivojac 8.7k 1.5k 1.5k 1.1k 739 145 10.6k
Lilia M. Iakoucheva 8.3k 0.9× 1.9k 1.3× 1.2k 0.8× 836 0.8× 1.1k 1.4× 50 9.9k
István Simon 10.2k 1.2× 2.1k 1.4× 1.2k 0.8× 790 0.7× 1.2k 1.6× 144 13.1k
Gerard Cagney 9.4k 1.1× 717 0.5× 787 0.5× 967 0.9× 1.1k 1.5× 109 12.3k
Pedro Romero 9.1k 1.0× 2.6k 1.7× 845 0.6× 837 0.8× 1.1k 1.5× 65 11.3k
Liam J. McGuffin 7.1k 0.8× 1.7k 1.2× 765 0.5× 391 0.4× 666 0.9× 76 9.0k
Arne Elofsson 11.9k 1.4× 2.4k 1.6× 1.3k 0.9× 572 0.5× 946 1.3× 181 14.6k
Sergey Ovchinnikov 7.9k 0.9× 1.5k 1.0× 1.2k 0.8× 291 0.3× 911 1.2× 71 10.6k
Julian Gough 7.3k 0.8× 945 0.6× 1.5k 1.0× 340 0.3× 832 1.1× 73 9.4k
Rita Casadio 10.0k 1.2× 1.3k 0.8× 2.3k 1.6× 392 0.4× 834 1.1× 271 14.1k
Piero Fariselli 7.6k 0.9× 1.2k 0.8× 1.5k 1.0× 269 0.2× 492 0.7× 178 9.7k

Countries citing papers authored by Predrag Radivojac

Since Specialization
Citations

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

Fields of papers citing papers by Predrag Radivojac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Predrag Radivojac

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

All Works

20 of 20 papers shown
1.
Piovesan, Damiano, Alexander Miguel Monzón, Walter Reade, et al.. (2024). CAFA-evaluator: a Python tool for benchmarking ontological classification methods. Bioinformatics Advances. 4(1). vbae043–vbae043. 4 indexed citations
2.
Karchin, Rachel, Predrag Radivojac, Anne O’Donnell‐Luria, et al.. (2024). Improving transparency of computational tools for variant effect prediction. Nature Genetics. 56(7). 1324–1326. 6 indexed citations
3.
Jain, Shantanu, et al.. (2023). Leveraging Structure for Improved Classification of Grouped Biased Data. Proceedings of the AAAI Conference on Artificial Intelligence. 37(9). 11113–11120. 1 indexed citations
4.
Misal, Santosh A., Sujun Li, Jonathan A. Karty, et al.. (2023). Non-Specific Signal Peptidase Processing of Extracellular Proteins in Staphylococcus aureus N315. Proteomes. 11(1). 8–8. 1 indexed citations
5.
Friedberg, Iddo, et al.. (2022). The field of protein function prediction as viewed by different domain scientists. Bioinformatics Advances. 2(1). vbac057–vbac057. 8 indexed citations
6.
Wang, Richard J., Predrag Radivojac, & Matthew W. Hahn. (2020). Distinct error rates for reference and nonreference genotypes estimated by pedigree analysis. Genetics. 217(1). 1–10. 8 indexed citations
7.
Guerrero, Rafael F., et al.. (2020). The ortholog conjecture revisited: the value of orthologs and paralogs in function prediction. Bioinformatics. 36(Supplement_1). i219–i226. 40 indexed citations
8.
Pejaver, Vikas, Jorge Urresti, Jose Lugo-Martinez, et al.. (2020). Inferring the molecular and phenotypic impact of amino acid variants with MutPred2. Nature Communications. 11(1). 5918–5918. 426 indexed citations breakdown →
9.
Kacsoh, Balint Z, S.K. Barton, Yuxiang Jiang, et al.. (2018). New Drosophila Long-Term Memory Genes Revealed by Assessing Computational Function Prediction Methods. G3 Genes Genomes Genetics. 9(1). 251–267. 13 indexed citations
10.
Ismail, Wazim Mohammed, Kymberleigh A. Pagel, Vikas Pejaver, et al.. (2018). The sequencing and interpretation of the genome obtained from a Serbian individual. ORCA Online Research @Cardiff (Cardiff University). 3 indexed citations
11.
Jain, Shantanu, Martha White, & Predrag Radivojac. (2016). Estimating the class prior and posterior from noisy positives and unlabeled data. Neural Information Processing Systems. 29. 2685–2693. 11 indexed citations
12.
Pejaver, Vikas, Wei-Lun Hsu, A. Keith Dunker, Vladimir N. Uversky, & Predrag Radivojac. (2014). The structural and functional signatures of proteins that undergo multiple events of post-translational modification. PMC. 11 indexed citations
13.
Vacic, Vladimir, Lilia M. Iakoucheva, Stefano Lonardi, & Predrag Radivojac. (2010). Graphlet Kernels for Prediction of Functional Residues in Protein Structures. Journal of Computational Biology. 17(1). 55–72. 35 indexed citations
14.
Li, Biao, Vidhya G. Krishnan, Matthew Mort, et al.. (2009). Automated inference of molecular mechanisms of disease from amino acid substitutions. Bioinformatics. 25(21). 2744–2750. 623 indexed citations breakdown →
15.
Mohan, Amrita, William J. Sullivan, Predrag Radivojac, A. Keith Dunker, & Vladimir N. Uversky. (2008). Intrinsic disorder in pathogenic and non-pathogenic microbes: discovering and analyzing the unfoldomes of early-branching eukaryotes. Molecular BioSystems. 4(4). 328–340. 120 indexed citations
16.
Radivojac, Predrag, Kang Peng, Wyatt T. Clark, et al.. (2008). An integrated approach to inferring gene–disease associations in humans. Proteins Structure Function and Bioinformatics. 72(3). 1030–1037. 132 indexed citations
17.
Singh, Arti, et al.. (2007). MutDB: update on development of tools for the biochemical analysis of genetic variation. Publisher. 2 indexed citations
18.
Peng, Kang, Predrag Radivojac, Slobodan Vučetić, A. Keith Dunker, & Zoran Obradović. (2006). Length-dependent prediction of protein intrinsic disorder. TUScholarShare (Temple University). 9 indexed citations
19.
Radivojac, Predrag, et al.. (2004). Feature selection filters based on the permutation test. 2 indexed citations
20.
Radivojac, Predrag, et al.. (2003). Learning from class-imbalanced data in wireless sensor networks. 3030–3034 Vol.5. 22 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

Rankless by CCL
2026