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Heather Desaire publication distribution in Chemistry in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Chemistry in 2026. The highlighted bar marks where Heather Desaire sits on this spectrum.

61–80 publications: 66 scientists 81–100 publications: 302 scientists 101–120 publications: 623 scientists 121–140 publications: 918 scientists 141–160 publications: 1,218 scientists 161–180 publications: 1,350 scientists 181–200 publications: 1,344 scientists 201–220 publications: 1,281 scientists 221–240 publications: 1,216 scientists 241–260 publications: 1,100 scientists 261–280 publications: 979 scientists 281–300 publications: 939 scientists 301–320 publications: 764 scientists 321–340 publications: 643 scientists 341–360 publications: 628 scientists 361–380 publications: 522 scientists 381–400 publications: 459 scientists 401–420 publications: 397 scientists 421–440 publications: 327 scientists 441–460 publications: 270 scientists 461–480 publications: 265 scientists 481–500 publications: 252 scientists 501–520 publications: 201 scientists 521–540 publications: 185 scientists 541–560 publications: 148 scientists 561–580 publications: 148 scientists 581–600 publications: 132 scientists 601–620 publications: 114 scientists 621–640 publications: 104 scientists 641–660 publications: 91 scientists 661–680 publications: 92 scientists 681–700 publications: 73 scientists 701–720 publications: 57 scientists 721–740 publications: 54 scientists 741–760 publications: 67 scientists 761–780 publications: 45 scientists 781–800 publications: 46 scientists 801–820 publications: 39 scientists 821–840 publications: 32 scientists 841–860 publications: 36 scientists 861–880 publications: 29 scientists 881–900 publications: 26 scientists 901–920 publications: 24 scientists 921–940 publications: 14 scientists 941–960 publications: 23 scientists 961–980 publications: 28 scientists 981–1,000 publications: 15 scientists 1,001–1,020 publications: 29 scientists 1,021–1,040 publications: 12 scientists 1,041–1,060 publications: 19 scientists 1,061–1,080 publications: 12 scientists 1,081–1,100 publications: 6 scientists 1,101–1,120 publications: 8 scientists 1,121–1,140 publications: 12 scientists 1,141–1,160 publications: 5 scientists 1,161–1,180 publications: 6 scientists 1,181–1,200 publications: 14 scientists 1,201–1,220 publications: 7 scientists 1,221–1,240 publications: 2 scientists 1,241–1,260 publications: 6 scientists 1,261–1,280 publications: 4 scientists 1,281–1,294 publications: 6 scientists 1,295+ publications: 100 scientists
61 publications 1,295+

The last bar groups every scientist with 1,295 publications or more.

Heather Desaire D-index placement in Chemistry in 2026

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

40–41 D-Index: 289 scientists 42–43 D-Index: 612 scientists 44–45 D-Index: 808 scientists 46–47 D-Index: 776 scientists 48–49 D-Index: 835 scientists 50–51 D-Index: 861 scientists 52–53 D-Index: 872 scientists 54–55 D-Index: 933 scientists 56–57 D-Index: 1,051 scientists 58–59 D-Index: 930 scientists 60–61 D-Index: 882 scientists 62–63 D-Index: 834 scientists 64–65 D-Index: 731 scientists 66–67 D-Index: 775 scientists 68–69 D-Index: 683 scientists 70–71 D-Index: 646 scientists 72–73 D-Index: 561 scientists 74–75 D-Index: 501 scientists 76–77 D-Index: 437 scientists 78–79 D-Index: 388 scientists 80–81 D-Index: 354 scientists 82–83 D-Index: 292 scientists 84–85 D-Index: 275 scientists 86–87 D-Index: 254 scientists 88–89 D-Index: 235 scientists 90–91 D-Index: 185 scientists 92–93 D-Index: 192 scientists 94–95 D-Index: 155 scientists 96–97 D-Index: 163 scientists 98–99 D-Index: 125 scientists 100–101 D-Index: 105 scientists 102–103 D-Index: 105 scientists 104–105 D-Index: 112 scientists 106–107 D-Index: 88 scientists 108–109 D-Index: 68 scientists 110–111 D-Index: 69 scientists 112–113 D-Index: 65 scientists 114–115 D-Index: 79 scientists 116–117 D-Index: 61 scientists 118–119 D-Index: 44 scientists 120–121 D-Index: 37 scientists 122–123 D-Index: 40 scientists 124–125 D-Index: 33 scientists 126–127 D-Index: 26 scientists 128–129 D-Index: 34 scientists 130–131 D-Index: 35 scientists 132–133 D-Index: 25 scientists 134–135 D-Index: 27 scientists 136–137 D-Index: 17 scientists 138–139 D-Index: 16 scientists 140–141 D-Index: 20 scientists 142–143 D-Index: 20 scientists 144–145 D-Index: 15 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 9 scientists 150–151 D-Index: 16 scientists 152–153 D-Index: 11 scientists 154–155 D-Index: 9 scientists 156–157 D-Index: 3 scientists 158 D-Index: 3 scientists 159+ D-Index: 98 scientists
40 D-Index 159+

The last bar groups every scientist with 159 D-Index or more.

Overview

Heather Desaire is a researcher affiliated with the University of Kansas in the United States, focusing primarily on biochemistry, genetics, and molecular biology with additional significant contributions to chemistry. Their research portfolio encompasses 27 publications in biochemistry, genetics, and molecular biology, and 21 in chemistry.

Desaire's work extensively covers subfields such as molecular biology, spectroscopy, artificial intelligence, health informatics, and organic chemistry. The breadth of interest is reflected in their research topics, which include:

  • Advanced Proteomics Techniques and Applications
  • Metabolomics and Mass Spectrometry Studies
  • Mass Spectrometry Techniques and Applications
  • Topic Modeling
  • Artificial Intelligence in Healthcare and Education
  • Machine Learning in Bioinformatics
  • Glycosylation and Glycoproteins Research

Desaire's recent academic papers highlight a focus on the interface between artificial intelligence and proteomics, as well as biomarker discovery. Notable papers include:

  • "Distinguishing academic science writing from humans or ChatGPT with over 99% accuracy using off-the-shelf machine learning tools," 2023, published in Cell Reports Physical Science
  • "Accurately detecting AI text when ChatGPT is told to write like a chemist," 2023, published in Cell Reports Physical Science
  • "How (Not) to Generate a Highly Predictive Biomarker Panel Using Machine Learning," 2022, published in Journal of Proteome Research

While some papers list other lead authors, Heather Desaire's body of work has appeared in multiple frequently used publication venues, including:

  • Journal of Proteome Research
  • Cell Reports Physical Science
  • Journal of the American Society for Mass Spectrometry
  • Biomolecules
  • Analytical and Bioanalytical Chemistry

Regular collaborators include researchers such as Eden P. Go, David Hua, Madeline Isom, Aleesa E. Chua, and Milani Wijeweera Patabandige, who have coauthored multiple publications with Desaire.

Best Publications

  • Glycan Reader: Automated Sugar Identification and Simulation Preparation for Carbohydrates and Glycoproteins

    Sunhwan Jo;Kevin C. Song;Heather Desaire;Alexander D. MacKerell

  • Glycosylation site-specific analysis of HIV envelope proteins (JR-FL and CON-S) reveals major differences in glycosylation site occupancy, glycoform profiles, and antigenic epitopes' accessibility.

    Eden P. Go;Janet Irungu;Ying Zhang;Dilusha S. Dalpathado

  • Characterization of Glycosylation Profiles of HIV-1 Transmitted/Founder Envelopes by Mass Spectrometry

    Eden P. Go;Geetha Hewawasam;Hua-Xin Liao;Haiyan Chen

  • Glycopeptide analysis by mass spectrometry.

    Dilusha S. Dalpathado;Heather Desaire

  • Improving the Immunogenicity of Native-like HIV-1 Envelope Trimers by Hyperstabilization.

    Alba Torrents de la Peña;Jean Philippe Julien;Steven W. de Taeye;Fernando Garces

  • Comparative Analysis of the Glycosylation Profiles of Membrane-Anchored HIV-1 Envelope Glycoprotein Trimers and Soluble gp140

    Eden P. Go;Alon Herschhorn;Christopher Gu;Luis Castillo-Menendez

  • Detection and quantification of the sulfated disaccharides in chondroitin sulfate by electrospray tandem mass spectrometry.

    Heather Desaire;Julie A. Leary

  • Characterization of host-cell line specific glycosylation profiles of early transmitted/founder HIV-1 gp120 envelope proteins.

    Eden P. Go;Hua-Xin Liao;S. Munir Alam;David C. Hua

  • Interlaboratory Study on Differential Analysis of Protein Glycosylation by Mass Spectrometry: The ABRF Glycoprotein Research Multi-Institutional Study 2012

    Nancy Leymarie;Paula J. Griffin;Karen Jonscher;Daniel Kolarich

  • Glycopeptide Analysis, Recent Developments and Applications

    Heather Desaire

  • Comparative glycomics of the glycoprotein follicle stimulating hormone: glycopeptide analysis of isolates from two mammalian species.

    Dilusha S. Dalpathado;Janet Irungu;Eden P. Go;Vladimir Y. Butnev

  • GlycoPep DB: a tool for glycopeptide analysis using a "Smart Search".

    Eden P. Go;Kathryn R. Rebecchi;Dilusha S. Dalpathado;Mary L. Bandu

  • Comparison of HPLC/ESI-FTICR MS Versus MALDI-TOF/TOF MS for Glycopeptide Analysis of a Highly Glycosylated HIV Envelope Glycoprotein

    Janet Irungu;Eden P. Go;Ying Zhang;Dilusha S. Dalpathado

  • Influences on the design and purification of soluble, recombinant native-like HIV-1 envelope glycoprotein trimers

    Rajesh P. Ringe;Anila Yasmeen;Gabriel Ozorowski;Eden P. Go

  • A strategy for the determination of enzyme kinetics using electrospray ionization with an ion trap mass spectrometer.

    Xue Ge;Tammy L. Sirich;Martin K. Beyer;Heather Desaire

  • Recent mass spectrometry-based techniques and considerations for disulfide bond characterization in proteins.

    Jude C. Lakbub;Joshua T. Shipman;Heather Desaire

  • Simplification of mass spectral analysis of acidic glycopeptides using GlycoPep ID.

    Janet Irungu;Eden P. Go;Dilusha S. Dalpathado;Heather Desaire

  • Label-free quantitation: A new glycoproteomics approach

    Kathryn R. Rebecchi;Jamie L. Wenke;Eden P. Go;Heather Desaire

  • Software for automated interpretation of mass spectrometry data from glycans and glycopeptides

    Carrie L. Woodin;Morgan Maxon;Heather Desaire

  • GlycoPep grader: a web-based utility for assigning the composition of N-linked glycopeptides.

    Carrie L. Woodin;David Hua;Morgan Maxon;Kathryn R. Rebecchi

Frequent Co-Authors

John C. Kappes
John C. Kappes University of Alabama at Birmingham
Barton F. Haynes
Barton F. Haynes Duke University
Hua-Xin Liao
Hua-Xin Liao Duke University
Julie A. Leary
Julie A. Leary University of California, Berkeley
Joseph Sodroski
Joseph Sodroski Harvard Medical School
S. Munir Alam
S. Munir Alam Duke University
Rogier W. Sanders
Rogier W. Sanders University of Amsterdam
David C. Montefiori
David C. Montefiori Duke University
John P. Moore
John P. Moore Cornell University
Kevin O. Saunders
Kevin O. Saunders Duke University

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