World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
99
Citations
40905
World Ranking
1574
National Ranking
884

Chemistry

D-Index
95
Citations
37862
World Ranking
1602
National Ranking
613

Michael R. Sawaya 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 Michael R. Sawaya 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: 644 publications — 98th percentile

98% of scientists in this discipline score the same or lower.

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

Michael R. Sawaya 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 Michael R. Sawaya 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: 99 D-Index — 92nd percentile

92% of scientists in this discipline score the same or lower.

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

Overview

What is he best known for?

The fields of study he is best known for:

  • Enzyme
  • Gene
  • DNA

His primary areas of study are Biochemistry, Protein structure, Biophysics, Peptide sequence and Amyloid. Biochemistry is often connected to Viral replication in his work. His studies in Protein structure integrate themes in fields like Structural biology, Genetics, Crystallography, Crystal structure and Alzheimer's disease.

His studies deal with areas such as Steric effects, Scaffold protein, Sequence, Side chain and Binding site as well as Biophysics. His Peptide sequence research incorporates elements of P3 peptide, Amylin, Amyloid disease, Biochemistry of Alzheimer's disease and Insulin. Michael R. Sawaya has included themes like Fibril, Protein aggregation, Protein Data Bank and Peptide in his Amyloid study.

His most cited work include:

  • Structure of the cross-beta spine of amyloid-like fibrils. (1691 citations)
  • Atomic structures of amyloid cross-beta spines reveal varied steric zippers. (1674 citations)
  • Cell-free Formation of RNA Granules: Low Complexity Sequence Domains Form Dynamic Fibers within Hydrogels (1181 citations)

What are the main themes of his work throughout his whole career to date?

Michael R. Sawaya mainly investigates Biochemistry, Biophysics, Crystallography, Protein structure and Amyloid. Michael R. Sawaya frequently studies issues relating to Stereochemistry and Biochemistry. His research on Biophysics also deals with topics like

  • Zipper most often made with reference to Steric effects,
  • Protein subunit that connect with fields like Organelle, Bacterial microcompartment and Carboxysome.

His study in Peptide extends to Crystallography with its themes. His study ties his expertise on Protein folding together with the subject of Protein structure. His Amyloid study integrates concerns from other disciplines, such as Fibril, Structural biology, P3 peptide and Protein aggregation.

He most often published in these fields:

  • Biochemistry (35.21%)
  • Biophysics (31.36%)
  • Crystallography (26.92%)

What were the highlights of his more recent work (between 2018-2021)?

  • Biophysics (31.36%)
  • Peptide (13.91%)
  • Fibril (18.93%)

In recent papers he was focusing on the following fields of study:

Biophysics, Peptide, Fibril, Crystallography and Amyloid are his primary areas of study. His Biophysics research is multidisciplinary, incorporating elements of Mutation, In vitro, Dementia and Atrophy. The concepts of his Peptide study are interwoven with issues in Structural biology, Genetics, Low complexity and Stereochemistry.

His Fibril study also includes fields such as

  • Protein aggregation which is related to area like Protein structure,
  • Neurodegeneration, which have a strong connection to Amyloid fibril, Protein filament and Green tea. His study in Crystallography is interdisciplinary in nature, drawing from both Visualization and Femtosecond. His Amyloid research is multidisciplinary, incorporating perspectives in RNA, Nucleoprotein and Viral replication.

Between 2018 and 2021, his most popular works were:

  • Cryo-EM structures of four polymorphic TDP-43 amyloid cores. (65 citations)
  • Structures of fibrils formed by α-synuclein hereditary disease mutant H50Q reveal new polymorphs (41 citations)
  • Non-proteinaceous hydrolase comprised of a phenylalanine metallo-supramolecular amyloid-like structure. (28 citations)

In his most recent research, the most cited papers focused on:

  • Enzyme
  • Gene
  • DNA

His main research concerns Fibril, Biophysics, Amyloid, Mutation and Protein structure. His Fibril research includes themes of Epitope, Chemical biology, Protein stability and Cognitive decline. His research in Biophysics focuses on subjects like Steric effects, which are connected to Protein secondary structure and Crystallography.

Michael R. Sawaya has researched Amyloid in several fields, including Ribonucleoprotein, Structural biology and Hydrogen bond. His work in Structural biology addresses subjects such as Centrosymmetry, which are connected to disciplines such as Peptide. Michael R. Sawaya studied Protein structure and Protein aggregation that intersect with Point mutation and Protein folding.

Best Publications

  • Structure of the cross-beta spine of amyloid-like fibrils.

    Rebecca Nelson;Michael R. Sawaya;Melinda Balbirnie;Anders Ø. Madsen;Anders Ø. Madsen

  • Atomic structures of amyloid cross-beta spines reveal varied steric zippers.

    Michael R. Sawaya;Shilpa Sambashivan;Rebecca Nelson;Magdalena I. Ivanova

  • Cell-free Formation of RNA Granules: Low Complexity Sequence Domains Form Dynamic Fibers within Hydrogels

    Masato Kato;Tina W. Han;Shanhai Xie;Kevin Shi

  • Functional Amyloids as Natural Storage of Peptide Hormones in Pituitary Secretory Granules

    Samir K. Maji;Marilyn H. Perrin;Michael R. Sawaya;Sebastian Jessberger

  • Structures of ternary complexes of rat DNA polymerase beta, a DNA template-primer, and ddCTP.

    Huguette Pelletier;Michael R. Sawaya;Amalendra Kumar;Samuel H. Wilson

  • Loop and Subdomain Movements in the Mechanism of Escherichia coli Dihydrofolate Reductase: Crystallographic Evidence†,‡

    Michael R. Sawaya;Joseph Kraut

  • Toward the structural genomics of complexes: Crystal structure of a PE/PPE protein complex from Mycobacterium tuberculosis

    Michael Strong;Michael R. Sawaya;Shuishu Wang;Martin Phillips

  • Crystal structures of human DNA polymerase beta complexed with gapped and nicked DNA: evidence for an induced fit mechanism.

    Michael R. Sawaya;Rajendra Prasad;Samuel H. Wilson;Joseph Kraut

  • Computational design of self-assembling protein nanomaterials with atomic level accuracy

    Neil P. King;William Sheffler;Michael R. Sawaya;Breanna S. Vollmar

  • Cryo-EM of full-length α-synuclein reveals fibril polymorphs with a common structural kernel

    B. Li;P. Ge;K.A. Murray;P. Sheth

  • Crystal structure of rat DNA polymerase beta: evidence for a common polymerase mechanism.

    Michael R. Sawaya;Huguette Pelletier;Amalendra Kumar;Samuel H. Wilson

  • Structure of the toxic core of α-synuclein from invisible crystals

    Jose A. Rodriguez;Magdalena I. Ivanova;Michael R. Sawaya;Duilio Cascio

  • Atomic view of a toxic amyloid small oligomer.

    Arthur Laganowsky;Cong Liu;Michael R. Sawaya;Julian P. Whitelegge

  • Crystal structure of T7 gene 4 ring helicase indicates a mechanism for sequential hydrolysis of nucleotides.

    Martin R Singleton;Michael R Sawaya;Tom Ellenberger;Dale B Wigley

  • Protein Structures Forming the Shell of Primitive Bacterial Organelles

    Cheryl A. Kerfeld;Michael R. Sawaya;Shiho Tanaka;Chau V. Nguyen

  • Structural Studies of Amyloid Proteins at the Molecular Level.

    David S Eisenberg;Michael R Sawaya

  • Expanding metabolism for biosynthesis of nonnatural alcohols

    Kechun Zhang;Michael R. Sawaya;David S. Eisenberg;James C. Liao

  • Crystal Structure Refinement

    Peter Müller;Regine Herbst-Irmer;Anthony L. Spek;Thomas R. Schneider

  • Atomic structures of low-complexity protein segments reveal kinked β sheets that assemble networks

    Michael P. Hughes;Michael R. Sawaya;David R. Boyer;Lukasz Goldschmidt

  • Atomic-Level Models of the Bacterial Carboxysome Shell

    Shiho Tanaka;Cheryl A. Kerfeld;Cheryl A. Kerfeld;Michael R. Sawaya;Fei Cai

  • Molecular basis for amyloid-beta polymorphism.

    Jacques-Philippe Colletier;Arthur Laganowsky;Meytal Landau;Minglei Zhao

Frequent Co-Authors

David Eisenberg
David Eisenberg Harvard University
Todd O. Yeates
Todd O. Yeates University of California, Los Angeles
Duilio Cascio
Duilio Cascio University of California, Los Angeles
Tamir Gonen
Tamir Gonen University of California, Los Angeles
David Baker
David Baker University of Washington
Cheryl A. Kerfeld
Cheryl A. Kerfeld Lawrence Berkeley National Laboratory
Robert T. Clubb
Robert T. Clubb University of California, Los Angeles
Charles G. Glabe
Charles G. Glabe University of California, Irvine
Emil Reisler
Emil Reisler University of California, Los Angeles
Marc Messerschmidt
Marc Messerschmidt SLAC National Accelerator Laboratory

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