World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
32
Citations
11654
World Ranking
9500
National Ranking
2676

Jennifer Listgarten 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 Jennifer Listgarten 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: 76 publications — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Jennifer Listgarten 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 Jennifer Listgarten 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: 32 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Overview

Jennifer Listgarten is affiliated with the University of California, Berkeley in the United States. Their research primarily spans the fields of Biochemistry, Genetics, and Molecular Biology, with a total of 51 publications contributing to this area.

The subfields of study Jennifer Listgarten works in include:

  • Molecular Biology
  • Genetics
  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Materials Chemistry

The key topics addressed in their research are:

  • RNA and protein synthesis mechanisms
  • Genomics and Phylogenetic Studies
  • CRISPR and Genetic Engineering
  • Computational Drug Discovery Methods
  • Protein Structure and Dynamics
  • Evolution and Genetic Dynamics
  • Virus-based gene therapy research

Jennifer Listgarten has published extensively in various scientific venues. Frequent publication venues include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • Proceedings of the National Academy of Sciences
  • Nature Biotechnology
  • Science Advances

Selected recent papers authored or co-authored by Jennifer Listgarten include:

  • "On the sparsity of fitness functions and implications for learning," 2021, Proceedings of the National Academy of Sciences
  • "Epistatic Net allows the sparse spectral regularization of deep neural networks for inferring fitness functions," 2021, Nature Communications
  • "Optimal trade-off control in machine learning-based library design, with application to adeno-associated virus (AAV) for gene therapy," 2024, Science Advances
  • "Conformal prediction under feedback covariate shift for biomolecular design," 2022, Proceedings of the National Academy of Sciences
  • "Combining evolutionary and assay-labelled data for protein fitness prediction," 2021, bioRxiv (Cold Spring Harbor Laboratory)

Frequent co-authors working with Jennifer Listgarten include:

  • Clara Fannjiang
  • Hunter Nisonoff
  • Chloe Hsu
  • David H. Brookes
  • Akosua Busia

Best Publications

  • Optimized sgRNA design to maximize activity and minimize off-target effects of CRISPR-Cas9

    John G Doench;Nicolo Fusi;Meagan Sullender;Mudra Hegde

  • FaST linear mixed models for genome-wide association studies.

    Christoph Lippert;Jennifer Listgarten;Ying Liu;Carl M Kadie

  • Rethinking drug design in the artificial intelligence era

    Petra Schneider;W. Patrick Walters;Alleyn T. Plowright;Norman Sieroka

  • Improved linear mixed models for genome-wide association studies

    Jennifer Listgarten;Christoph Lippert;Carl M Kadie;Robert I Davidson

  • Statistical and Computational Methods for Comparative Proteomic Profiling Using Liquid Chromatography-Tandem Mass Spectrometry

    Jennifer Listgarten;Andrew Emili

  • Prediction of off-target activities for the end-to-end design of CRISPR guide RNAs

    Jennifer Listgarten;Michael Weinstein;Benjamin P. Kleinstiver;Alexander A. Sousa

  • Orthologous CRISPR-Cas9 enzymes for combinatorial genetic screens.

    Fadi J Najm;Christine Strand;Katherine F Donovan;Mudra Hegde

  • Epigenome-wide association studies without the need for cell-type composition

    James Zou;Christoph Lippert;David Heckerman;Martin Aryee

  • Correction for hidden confounders in the genetic analysis of gene expression

    Jennifer Listgarten;Carl Kadie;Eric E. Schadt;David Heckerman

  • Additive Contribution of HLA Class I Alleles in the Immune Control of HIV-1 Infection

    Alasdair Leslie;Philippa C. Matthews;Jennifer Listgarten;Jonathan M. Carlson

  • A genome-to-genome analysis of associations between human genetic variation, HIV-1 sequence diversity, and viral control

    István Bartha;Jonathan M Carlson;Chanson J Brumme;Paul J McLaren;Paul J McLaren;Paul J McLaren

  • Lymphovascular invasion is associated with poor survival in gastric cancer: an application of gene-expression and tissue array techniques.

    Bryan J. Dicken;Kathryn Graham;Stewart M. Hamilton;Sam Andrews

  • Multiple Alignment of Continuous Time Series

    Jennifer Listgarten;Radford M. Neal;Sam T. Roweis;Andrew Emili

  • Widespread Impact of HLA Restriction on Immune Control and Escape Pathways of HIV-1

    Jonathan M. Carlson;Jennifer Listgarten;Nico Pfeifer;Vincent Tan

  • let-7 miRNAs Can Act through Notch to Regulate Human Gliogenesis

    M. Patterson;X. Gaeta;K. Loo;M. Edwards

  • Leveraging information across HLA alleles/supertypes improves epitope prediction.

    David Heckerman;Carl Myers Kadie;Jennifer Listgarten

  • A powerful and efficient set test for genetic markers that handles confounders

    Jennifer Listgarten;Christoph Lippert;Eun Yong Kang;Jing Xiang

  • Difference detection in LC-MS data for protein biomarker discovery

    Jennifer Listgarten;Radford M. Neal;Sam T. Roweis;Peter Wong

  • FaST-LMM-Select for addressing confounding from spatial structure and rare variants

    Jennifer Listgarten;Christoph Lippert;David Heckerman

  • An Exhaustive Epistatic SNP Association Analysis on Expanded Wellcome Trust Data

    Christoph Lippert;Jennifer Listgarten;Robert I Davidson;Scott Baxter

  • Conditioning by adaptive sampling for robust design

    David H. Brookes;Hahnbeom Park;Jennifer Listgarten

  • HLA-A*7401–Mediated Control of HIV Viremia Is Independent of Its Linkage Disequilibrium with HLA-B*5703

    Philippa C. Matthews;Emily Adland;Jennifer Listgarten;Alasdair Leslie

  • Gaussian Process Prior Variational Autoencoders

    Francesco Paolo Casale;Adrian V. Dalca;Luca Saglietti;Jennifer Listgarten

  • Design by adaptive sampling.

    David H. Brookes;Jennifer Listgarten

  • Correction for Hidden Confounders in the Genetic Analysis of Gene Expression (Abstract).

    Jennifer Listgarten;Carl Myers Kadie;Eric E. Schadt;David Heckerman

Frequent Co-Authors

David Heckerman
David Heckerman Microsoft (United States)
Bruce D. Walker
Bruce D. Walker Harvard University
Philip J. R. Goulder
Philip J. R. Goulder University of Oxford
Zabrina L. Brumme
Zabrina L. Brumme Simon Fraser University
Jonathan M. Carlson
Jonathan M. Carlson Microsoft (United States)
Thumbi Ndung'u
Thumbi Ndung'u University of KwaZulu-Natal
Mary Carrington
Mary Carrington Ragon Institute of MGH, MIT and Harvard
Jacques Fellay
Jacques Fellay École Polytechnique Fédérale de Lausanne
John G. Doench
John G. Doench Broad Institute
Mina John
Mina John Royal Perth Hospital

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