World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
62
Citations
24502
World Ranking
10531
National Ranking
4569

Computer Science

D-Index
56
Citations
23327
World Ranking
3959
National Ranking
1882

Predrag Radivojac publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Predrag Radivojac sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 174 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Predrag Radivojac D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Predrag Radivojac sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Predrag Radivojac is affiliated with Northeastern University in the United States and conducts research primarily within the field of Biochemistry, Genetics, and Molecular Biology. Their work spans a diverse range of subfields including Molecular Biology, Genetics, Artificial Intelligence, Obstetrics and Gynecology, and Cancer Research.

The scientist's research addresses several main topics such as Genomics and Rare Diseases, Genomic Variations and Chromosomal Abnormalities, Bioinformatics and Genomic Networks, Genetic Associations and Epidemiology, Genomics and Phylogenetic Studies, Pregnancy and Preeclampsia Studies, and Cancer Genomics and Diagnostics.

Recent publications by Predrag Radivojac include the following papers:

  • Inferring the molecular and phenotypic impact of amino acid variants with MutPred2, 2020, Nature Communications
  • Calibration of computational tools for missense variant pathogenicity classification and ClinGen recommendations for PP3/BP4 criteria, 2022, The American Journal of Human Genetics
  • Paternal age in rhesus macaques is positively associated with germline mutation accumulation but not with measures of offspring sociability, 2020, Genome Research
  • The ortholog conjecture revisited: the value of orthologs and paralogs in function prediction, 2020, Bioinformatics
  • Current and future directions in network biology, 2024, Bioinformatics Advances

Predrag Radivojac collaborates frequently with a number of researchers, including Steven E. Brenner, Vikas Pejaver, Constantina Bakolitsa, Anne O'Donnell-Luria, and Shantanu Jain.

Their publications appear often in venues such as bioRxiv (Cold Spring Harbor Laboratory), Human Genetics, arXiv (Cornell University), Bioinformatics, and Bioinformatics Advances.

Best Publications

  • REVEL: An Ensemble Method for Predicting the Pathogenicity of Rare Missense Variants

    Nilah M M. Ioannidis;Joseph H H. Rothstein;Joseph H H. Rothstein;Vikas Pejaver;Sumit Middha

  • The importance of intrinsic disorder for protein phosphorylation

    Lilia M. Iakoucheva;Predrag Radivojac;Celeste J. Brown;Celeste J. Brown;Timothy R. O’Connor

  • A large-scale evaluation of computational protein function prediction

    Predrag Radivojac;Wyatt T Clark;Tal Ronnen Oron;Alexandra M Schnoes

  • Length-dependent prediction of protein intrinsic disorder

    Kang Peng;Predrag Radivojac;Slobodan Vucetic;A Keith Dunker

  • Automated inference of molecular mechanisms of disease from amino acid substitutions

    Biao Li;Vidhya G. Krishnan;Matthew E. Mort;Fuxiao Xin

  • Analysis of molecular recognition features (MoRFs).

    Amrita Mohan;Christopher J. Oldfield;Predrag Radivojac;Vladimir Vacic

  • Intrinsic Disorder and Functional Proteomics

    Predrag Radivojac;Lilia M. Iakoucheva;Christopher J. Oldfield;Zoran Obradovic

  • Inferring the molecular and phenotypic impact of amino acid variants with MutPred2.

    Vikas Pejaver;Vikas Pejaver;Jorge Urresti;Jose Lugo-Martinez;Jose Lugo-Martinez;Kymberleigh A. Pagel;Kymberleigh A. Pagel

  • Identification, Analysis and Prediction of Protein Ubiquitination Sites

    Predrag Radivojac;Vladimir Vacic;Chad Haynes;Ross R. Cocklin

  • Intrinsic disorder is a common feature of hub proteins from four eukaryotic interactomes.

    Chad Haynes;Christopher J Oldfield;Fei Ji;Niels Klitgord

  • Exploiting heterogeneous sequence properties improves prediction of protein disorder.

    Zoran Obradovic;Kang Peng;Slobodan Vucetic;Predrag Radivojac

  • Two Sample Logo: a graphical representation of the differences between two sets of sequence alignments

    Vladimir Vacic;Lilia M. Iakoucheva;Predrag Radivojac

  • Optimizing long intrinsic disorder predictors with protein evolutionary information.

    Kang Peng;Slobodan Vucetic;Predrag Radivojac;Celeste J. Brown

  • Calibration of computational tools for missense variant pathogenicity classification and ClinGen recommendations for PP3/BP4 criteria

    Unknown

  • Predicting Intrinsic Disorder From Amino Acid Sequence

    Zoran Obradovic;Kang Peng;Slobodan Vucetic;Predrag Radivojac

  • Characterization of Molecular Recognition Features, MoRFs, and Their Binding Partners

    Vladimir Vacic;Christopher J. Oldfield;Amrita Mohan;Predrag Radivojac

  • Alternative splicing in concert with protein intrinsic disorder enables increased functional diversity in multicellular organisms

    Pedro R. Romero;Saima Zaidi;Ya Yin Fang;Vladimir N. Uversky

  • An expanded evaluation of protein function prediction methods shows an improvement in accuracy

    Yuxiang Jiang;Tal Ronnen Oron;Wyatt T. Clark;Asma R. Bankapur

  • The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens

    Naihui Zhou;Yuxiang Jiang;Timothy R. Bergquist;Alexandra J. Lee

  • Protein flexibility and intrinsic disorder.

    Predrag Radivojac;Zoran Obradovic;David K. Smith;Guang Zhu

  • The structural and functional signatures of proteins that undergo multiple events of post-translational modification.

    Vikas Pejaver;Wei Lun Hsu;Fuxiao Xin;Fuxiao Xin;A. Keith Dunker

Frequent Co-Authors

Sean D. Mooney
Sean D. Mooney University of Washington
A. Keith Dunker
A. Keith Dunker Indiana University
Vladimir N. Uversky
Vladimir N. Uversky University of South Florida
Haixu Tang
Haixu Tang Indiana University
Zoran Obradovic
Zoran Obradovic Temple University
Matthew W. Hahn
Matthew W. Hahn Indiana University
Slobodan Vucetic
Slobodan Vucetic Temple University
Steven E. Brenner
Steven E. Brenner University of California, Berkeley
David Neil Cooper
David Neil Cooper Cardiff University
Matthew Mort
Matthew Mort Cardiff University

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