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.
Length-dependent prediction of protein intrinsic disorder
2006722 citationsKang Peng, Predrag Radivojac et al.profile →
Automated inference of molecular mechanisms of disease from amino acid substitutions
2009623 citationsBiao Li, Vidhya G. Krishnan et al.Bioinformaticsprofile →
Analysis of Molecular Recognition Features (MoRFs)
2006597 citationsAmrita Mohan, Predrag Radivojac et al.profile →
Intrinsic Disorder and Functional Proteomics
2006572 citationsPredrag Radivojac, Lilia M. Iakoucheva et al.profile →
Inferring the molecular and phenotypic impact of amino acid variants with MutPred2
2020426 citationsVikas Pejaver, Jorge Urresti et al.Nature Communicationsprofile →
Author Peers
Peers are selected by citation overlap in the author's most active subfields.
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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
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.
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 →
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
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 →
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.