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D-Index & Metrics

Biology and Biochemistry

D-Index
56
Citations
13939
World Ranking
14265
National Ranking
6015

Eric V. Shusta publication distribution in Biology and Biochemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Biology and Biochemistry in 2026. The highlighted bar marks where Eric V. Shusta sits on this spectrum.

47–56 publications: 8 scientists 57–66 publications: 35 scientists 67–76 publications: 106 scientists 77–86 publications: 231 scientists 87–96 publications: 414 scientists 97–106 publications: 546 scientists 107–116 publications: 704 scientists 117–126 publications: 849 scientists 127–136 publications: 980 scientists 137–146 publications: 942 scientists 147–156 publications: 969 scientists 157–166 publications: 950 scientists 167–176 publications: 951 scientists 177–186 publications: 915 scientists 187–196 publications: 787 scientists 197–206 publications: 841 scientists 207–216 publications: 735 scientists 217–226 publications: 709 scientists 227–236 publications: 651 scientists 237–246 publications: 605 scientists 247–256 publications: 510 scientists 257–266 publications: 524 scientists 267–276 publications: 434 scientists 277–286 publications: 418 scientists 287–296 publications: 350 scientists 297–306 publications: 363 scientists 307–316 publications: 315 scientists 317–326 publications: 296 scientists 327–336 publications: 261 scientists 337–346 publications: 240 scientists 347–356 publications: 219 scientists 357–366 publications: 197 scientists 367–376 publications: 154 scientists 377–386 publications: 161 scientists 387–396 publications: 155 scientists 397–406 publications: 145 scientists 407–416 publications: 124 scientists 417–426 publications: 112 scientists 427–436 publications: 132 scientists 437–446 publications: 116 scientists 447–456 publications: 99 scientists 457–466 publications: 81 scientists 467–476 publications: 91 scientists 477–486 publications: 80 scientists 487–496 publications: 80 scientists 497–506 publications: 60 scientists 507–516 publications: 36 scientists 517–526 publications: 46 scientists 527–536 publications: 54 scientists 537–546 publications: 44 scientists 547–556 publications: 43 scientists 557–566 publications: 43 scientists 567–576 publications: 42 scientists 577–586 publications: 25 scientists 587–596 publications: 34 scientists 597–606 publications: 23 scientists 607–616 publications: 33 scientists 617–626 publications: 31 scientists 627–636 publications: 27 scientists 637–646 publications: 25 scientists 647–656 publications: 28 scientists 657–666 publications: 34 scientists 667–676 publications: 18 scientists 677–686 publications: 16 scientists 687–696 publications: 10 scientists 697–706 publications: 12 scientists 707–716 publications: 21 scientists 717–726 publications: 12 scientists 727–736 publications: 12 scientists 737–746 publications: 10 scientists 747–756 publications: 7 scientists 757–766 publications: 13 scientists 767–776 publications: 15 scientists 777–786 publications: 13 scientists 787–796 publications: 9 scientists 797–806 publications: 9 scientists 807–816 publications: 7 scientists 817–826 publications: 4 scientists 827–836 publications: 9 scientists 837–846 publications: 7 scientists 847–856 publications: 3 scientists 857–866 publications: 5 scientists 867–876 publications: 5 scientists 877–886 publications: 11 scientists 887–896 publications: 3 scientists 897–906 publications: 4 scientists 907–916 publications: 7 scientists 917–926 publications: 5 scientists 927–936 publications: 6 scientists 937–946 publications: 6 scientists 947–956 publications: 3 scientists 957–966 publications: 7 scientists 967–976 publications: 2 scientists 977–986 publications: 2 scientists 987–996 publications: 1 scientists 997–1,006 publications: 5 scientists 1,007–1,016 publications: 2 scientists 1,017–1,026 publications: 2 scientists 1,027 publications: 1 scientists 1,028+ publications: 100 scientists
47 publications 1,028+

This scientist: 160 publications — 32nd percentile

32% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,028 publications or more.

Eric V. Shusta D-index placement in Biology and Biochemistry in 2026

The chart shows the D-index (discipline H-index) distribution of Biology and Biochemistry scientists ranked by Research.com in 2026. The highlighted bar marks where Eric V. Shusta sits on this spectrum.

40–41 D-Index: 80 scientists 42–43 D-Index: 183 scientists 44–45 D-Index: 317 scientists 46–47 D-Index: 504 scientists 48–49 D-Index: 718 scientists 50–51 D-Index: 900 scientists 52–53 D-Index: 1,026 scientists 54–55 D-Index: 1,150 scientists 56–57 D-Index: 1,236 scientists 58–59 D-Index: 1,253 scientists 60–61 D-Index: 1,163 scientists 62–63 D-Index: 1,131 scientists 64–65 D-Index: 1,032 scientists 66–67 D-Index: 897 scientists 68–69 D-Index: 814 scientists 70–71 D-Index: 715 scientists 72–73 D-Index: 709 scientists 74–75 D-Index: 596 scientists 76–77 D-Index: 512 scientists 78–79 D-Index: 473 scientists 80–81 D-Index: 412 scientists 82–83 D-Index: 373 scientists 84–85 D-Index: 358 scientists 86–87 D-Index: 285 scientists 88–89 D-Index: 273 scientists 90–91 D-Index: 227 scientists 92–93 D-Index: 208 scientists 94–95 D-Index: 193 scientists 96–97 D-Index: 153 scientists 98–99 D-Index: 157 scientists 100–101 D-Index: 148 scientists 102–103 D-Index: 120 scientists 104–105 D-Index: 113 scientists 106–107 D-Index: 100 scientists 108–109 D-Index: 86 scientists 110–111 D-Index: 67 scientists 112–113 D-Index: 72 scientists 114–115 D-Index: 73 scientists 116–117 D-Index: 64 scientists 118–119 D-Index: 53 scientists 120–121 D-Index: 60 scientists 122–123 D-Index: 54 scientists 124–125 D-Index: 43 scientists 126–127 D-Index: 38 scientists 128–129 D-Index: 49 scientists 130–131 D-Index: 26 scientists 132–133 D-Index: 18 scientists 134–135 D-Index: 23 scientists 136–137 D-Index: 32 scientists 138–139 D-Index: 32 scientists 140–141 D-Index: 27 scientists 142–143 D-Index: 19 scientists 144–145 D-Index: 22 scientists 146–147 D-Index: 12 scientists 148–149 D-Index: 16 scientists 150–151 D-Index: 14 scientists 152–153 D-Index: 10 scientists 154–155 D-Index: 13 scientists 156–157 D-Index: 10 scientists 158–159 D-Index: 7 scientists 160–161 D-Index: 9 scientists 162–163 D-Index: 13 scientists 164–165 D-Index: 4 scientists 166 D-Index: 4 scientists 167+ D-Index: 98 scientists
40 D-Index 167+

This scientist: 56 D-Index — 28th percentile

28% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 167 D-Index or more.

Research.com Recognitions

  • 2014 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Eric V. Shusta is affiliated with the University of Wisconsin-Madison in the United States. Their research spans across several fields, primarily focusing on Biochemistry, Genetics and Molecular Biology, Neuroscience, and Medicine.

The main subfields of study for this researcher include Molecular Biology, Neurology, Cancer Research, Radiology, Nuclear Medicine and Imaging, and Immunology. Their work covers key topics such as Barrier Structure and Function Studies, Monoclonal and Polyclonal Antibodies Research, Pluripotent Stem Cells Research, Single-cell and spatial transcriptomics, Neuroinflammation and Neurodegeneration Mechanisms, MicroRNA in disease regulation, and Cancer-related molecular mechanisms research.

Frequent co-authors collaborating with Eric V. Shusta include:

  • Sean P. Palecek
  • Benjamin D. Gastfriend
  • Koji L. Foreman
  • Moriah E. Katt
  • Britta Engelhardt

The most common publication venues are:

  • Pharmaceutics
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Methods in molecular biology
  • Scientific Reports
  • Fluids and Barriers of the CNS

Recent notable papers include:

  • Neuronal Activity Regulates Blood-Brain Barrier Efflux Transport through Endothelial Circadian Genes, 2020, Neuron
  • Transcriptomic comparison of human and mouse brain microvessels, 2020, Scientific Reports
  • A human three-dimensional neural-perivascular 'assembloid' promotes astrocytic development and enables modeling of SARS-CoV-2 neuropathology, 2021, Nature Medicine
  • Commentary on human pluripotent stem cell-based blood-brain barrier models, 2020, Fluids and Barriers of the CNS
  • Intrinsic blood-brain barrier dysfunction contributes to multiple sclerosis pathogenesis, 2022, Brain

Eric V. Shusta has been recognized with the award of Fellow of the Indian National Academy of Engineering (INAE) in 2014.

Best Publications

  • Derivation of blood-brain barrier endothelial cells from human pluripotent stem cells

    Ethan S Lippmann;Samira M Azarin;Jennifer E Kay;Randy A Nessler

  • In vitro models of the blood-brain barrier: An overview of commonly used brain endothelial cell culture models and guidelines for their use

    Hans C. Helms;N. Joan Abbott;Malgorzata Burek;Romeo Cecchelli

  • Blood-Brain Barrier Transport of Therapeutics via Receptor- Mediation

    Angela R. Jones;Eric V. Shusta

  • Strategies to advance translational research into brain barriers

    Edward Neuwelt;N Joan Abbott;Lauren Abrey;William A Banks

  • A retinoic acid-enhanced, multicellular human blood-brain barrier model derived from stem cell sources

    Ethan S. Lippmann;Abraham Al-Ahmad;Samira M. Azarin;Sean P. Palecek

  • Hypoxia-enhanced Blood-Brain Barrier Chip recapitulates human barrier function and shuttling of drugs and antibodies.

    Tae-Eun Park;Nur Mustafaoglu;Anna Herland;Anna Herland;Anna Herland;Ryan Hasselkus

  • In vitro evolution of a T cell receptor with high affinity for peptide/MHC

    Phillip D. Holler;Philmore O. Holman;Eric V. Shusta;Sean O'Herrin

  • Targeting Receptor-Mediated Transport for Delivery of Biologics Across the Blood-Brain Barrier

    Jason M. Lajoie;Eric V. Shusta

  • Yeast cell surface display of proteins and uses thereof

    Dane K. Wittrup;Michele C. Kieke;David M. Kranz;Eric Shusta

  • Increasing the secretory capacity of Saccharomyces cerevisiae for production of single-chain antibody fragments

    E V Shusta;R T Raines;A Plückthun;K D Wittrup

  • Efficient Differentiation of Human Pluripotent Stem Cells to Endothelial Progenitors via Small-Molecule Activation of WNT Signaling

    Xiaojun Lian;Xiaoping Bao;Abraham Al-Ahmad;Jialu Liu

  • Directed evolution of a stable scaffold for T-cell receptor engineering

    E V Shusta;P D Holler;M C Kieke;D M Kranz

  • Yeast polypeptide fusion surface display levels predict thermal stability and soluble secretion efficiency.

    Eric V Shusta;Michele C Kieke;Evan Parke;David M Kranz

  • Selection of functional T cell receptor mutants from a yeast surface-display library.

    Michele C. Kieke;Eric V. Shusta;Eric T. Boder;Luc Teyton

  • A decade of yeast surface display technology: where are we now?

    Lauren R. Pepper;Yong Ku Cho;Eric T. Boder;Eric V. Shusta

  • An isogenic blood-brain barrier model comprising brain endothelial cells, astrocytes, and neurons derived from human induced pluripotent stem cells.

    Scott G. Canfield;Matthew J. Stebbins;Bethsymarie Soto Morales;Shusaku W. Asai

  • Modeling Psychomotor Retardation using iPSCs from MCT8-Deficient Patients Indicates a Prominent Role for the Blood-Brain Barrier

    Gad D. Vatine;Abraham Al-Ahmad;Abraham Al-Ahmad;Bianca K. Barriga;Soshana Svendsen

  • Directed differentiation of human pluripotent stem cells to blood-brain barrier endothelial cells.

    Tongcheng Qian;Shaenah E. Maguire;Scott G. Canfield;Xiaoping Bao

  • Puromycin‐purified rat brain microvascular endothelial cell cultures exhibit improved barrier properties in response to glucocorticoid induction

    Anthony R Calabria;Christian Weidenfeller;Angela R Jones;Helga E de Vries

  • Human pluripotent stem cell-derived brain pericyte-like cells induce blood-brain barrier properties.

    Matthew J. Stebbins;Benjamin D. Gastfriend;Scott G. Canfield;Ming-Song Lee

Frequent Co-Authors

Sean P. Palecek
Sean P. Palecek University of Wisconsin–Madison
David M. Kranz
David M. Kranz University of Illinois at Urbana-Champaign
Donald E. Ingber
Donald E. Ingber Harvard University
Clive N. Svendsen
Clive N. Svendsen Cedars-Sinai Medical Center
William M. Pardridge
William M. Pardridge University of California, Los Angeles
Ruben J. Boado
Ruben J. Boado University of California, Los Angeles
Kelly S. Doran
Kelly S. Doran University of Colorado Denver
Nicholas L. Abbott
Nicholas L. Abbott Cornell University

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