World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
41
Citations
17232
World Ranking
6784
National Ranking
1837

Jan F. Prins publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Jan F. Prins sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 119 publications — 15th percentile

15% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Jan F. Prins D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Jan F. Prins sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 41 D-Index — 31st percentile

31% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Jan F. Prins is affiliated with the University of North Carolina at Chapel Hill in the United States. Their research spans multiple domains, primarily focusing on biochemistry, genetics, and molecular biology, as well as engineering. These broad fields are further refined into several subfields, including molecular biology, cancer research, automotive engineering, civil and structural engineering, and mechanical engineering.

The scientist's work addresses various topics that reflect this interdisciplinary approach. These topics include:

  • Vehicle dynamics and control systems
  • Soil mechanics and vehicle dynamics
  • Cancer-related molecular mechanisms research
  • Molecular biology techniques and applications
  • Advanced biosensing and bioanalysis techniques
  • RNA research and splicing
  • Monoclonal and polyclonal antibodies research

Jan F. Prins has contributed to a range of scientific publications, with a concentration in UNC Libraries but also appearing in journals such as Bioinformatics Advances and Vehicle System Dynamics. Selected recent papers include:

  • "NeoSplice: a bioinformatics method for prediction of splice variant neoantigens," 2022, Bioinformatics Advances
  • "Enhancing brush tyre model accuracy through friction measurements," 2021, Vehicle System Dynamics
  • "DiffSplice: the genome-wide detection of differential splicing events with RNA-seq," 2020, UNC Libraries
  • "A probabilistic framework for aligning paired-end RNA-seq data," 2020, UNC Libraries
  • "A Robust Method for Transcript Quantification with RNA-Seq Data," 2020, UNC Libraries

The scientist frequently collaborates with others in their field. Frequent co-authors include Jinze Liu, Yin Hu, Derek Y. Chiang, Joshua D. Welch, and Darshan Singh. Their collaboration network reflects a blend of expertise that supports interdisciplinary research activities.

Publication venues where Jan F. Prins most often publishes are:

  • UNC Libraries
  • Bioinformatics Advances
  • Vehicle System Dynamics

Best Publications

  • Comprehensive molecular profiling of lung adenocarcinoma: The cancer genome atlas research network

    Eric A. Collisson;Joshua D. Campbell;Angela N. Brooks;Angela N. Brooks;Alice H. Berger

  • Integrated Genomic Characterization of Papillary Thyroid Carcinoma

    Nishant Agrawal;Rehan Akbani;B. Arman Aksoy;Adrian Ally

  • Efficient mining of frequent subgraphs in the presence of isomorphism

    J. Huan;W. Wang;J. Prins

  • Integrating noninterfering versions of programs

    Susan Horwitz;Jan Prins;Thomas Reps

  • Integrating non-intering versions of programs

    S. Horwitz;J. Prins;T. Reps

  • SPIN: mining maximal frequent subgraphs from graph databases

    Jun Huan;Wei Wang;Jan Prins;Jiong Yang

  • Characterization of HPV and host genome interactions in primary head and neck cancers.

    Michael Parfenov;Chandra Sekhar Pedamallu;Nils Gehlenborg;Nils Gehlenborg;Samuel S. Freeman

  • UTS: an unbalanced tree search benchmark

    Stephen Olivier;Jun Huan;Jinze Liu;Jan Prins

  • On the adequacy of program dependence graphs for representing programs

    S. Horwitz;J. Prins;T. Reps

  • SLICER: inferring branched, nonlinear cellular trajectories from single cell RNA-seq data.

    Joshua D. Welch;Alexander J. Hartemink;Jan F. Prins

  • DiffSplice: The genome-wide detection of differential splicing events with RNA-seq

    Yin Hu;Yan Huang;Ying Du;Christian F. Orellana

  • Mining protein family specific residue packing patterns from protein structure graphs

    Jun Huan;Wei Wang;Deepak Bandyopadhyay;Jack Snoeyink

  • MATCHER: manifold alignment reveals correspondence between single cell transcriptome and epigenome dynamics.

    Joshua D. Welch;Alexander J. Hartemink;Jan F. Prins

  • A high-performance lattice Boltzmann implementation to model flow in porous media

    Chongxun Pan;Jan F. Prins;Cass T. Miller

  • OpenMP task scheduling strategies for multicore NUMA systems

    Stephen L Olivier;Allan K Porterfield;Kyle B Wheeler;Michael Spiegel

  • Comparing graph representations of protein structure for mining family-specific residue-based packing motifs.

    Jun Huan;Deepak Bandyopadhyay;Wei Wang;Jack Snoeyink

  • SMD: visual steering of molecular dynamics for protein design

    J. Leech;J.F. Prins;J. Hermans

  • Single-Cell Transcriptomic Analyses of Cell Fate Transitions during Human Cardiac Reprogramming.

    Yang Zhou;Ziqing Liu;Joshua D. Welch;Xu Gao

  • Dynamic Load Balancing of Unbalanced Computations Using Message Passing

    J. Dinan;S. Olivier;G. Sabin;J. Prins

  • A novel heterogeneous algorithm to simulate multiphase flow in porous media on multicore CPU–GPU systems

    James E. McClure;Jan F. Prins;Cass T. Miller

  • Scheduling task parallelism on multi-socket multicore systems

    Stephen L. Olivier;Allan K. Porterfield;Kyle B. Wheeler;Jan F. Prins

Frequent Co-Authors

Alexander Tropsha
Alexander Tropsha University of North Carolina at Chapel Hill
John H. Reif
John H. Reif Duke University
Jack Snoeyink
Jack Snoeyink University of North Carolina at Chapel Hill
Eric S. Lander
Eric S. Lander Broad Institute
Charles M. Perou
Charles M. Perou University of North Carolina at Chapel Hill
Matthew D. Wilkerson
Matthew D. Wilkerson Uniformed Services University of the Health Sciences
Chau-Wen Tseng
Chau-Wen Tseng University of Maryland, College Park
Piotr A. Mieczkowski
Piotr A. Mieczkowski University of North Carolina at Chapel Hill
Rameen Beroukhim
Rameen Beroukhim Harvard University
Matthew Meyerson
Matthew Meyerson Harvard University

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