World's Best Scientists 2026 revealed!

Rui Zhao 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 Rui Zhao 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.

Rui Zhao 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 Rui Zhao 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

Rui Zhao is affiliated with the Environmental Molecular Sciences Laboratory in the United States. Their research portfolio spans multiple fields, focusing primarily on Earth and Planetary Sciences with a substantial number of publications in related subfields.

The main fields of study include:

  • Earth and Planetary Sciences

Within this broad field, their work covers several specific subfields, such as:

  • Geophysics
  • Environmental Chemistry
  • Astronomy and Astrophysics
  • Molecular Biology
  • Oceanography

The topics explored in Rui Zhao's research reflect a strong focus on geophysical phenomena and planetary science dynamics. These topics include:

  • Seismic Waves and Analysis
  • Earthquake Detection and Analysis
  • Methane Hydrates and Related Phenomena
  • Ionosphere and Magnetosphere Dynamics
  • Geophysics and Gravity Measurements
  • Superconducting Materials and Applications
  • Solar and Space Plasma Dynamics

Rui Zhao's publication record includes several peer-reviewed papers in well-known scientific journals. Some of the recent publications are:

  • An Improved Boosting to Amplify Signal with Isobaric Labeling (iBASIL) Strategy for Precise Quantitative Single-cell Proteomics, 2020, Molecular & Cellular Proteomics
  • DEAH-Box RNA Helicases in Pre-mRNA Splicing, 2020, Trends in Biochemical Sciences
  • A streamlined tandem tip-based workflow for sensitive nanoscale phosphoproteomics, 2023, Communications Biology
  • Hanging drop sample preparation improves sensitivity of spatial proteomics, 2022, Lab on a Chip
  • Structure, dynamics and function of the evolutionarily changing biliverdin reductase B family, 2020, The Journal of Biochemistry

Frequent collaborators in Rui Zhao's research include:

  • Tujin Shi
  • Matthew Monroe
  • Marina Gritsenko
  • Vladislav Petyuk
  • Ron Moore

The primary venues for Rui Zhao's research publications reflect a diversity in scientific disciplines and include:

  • OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)
  • RNA
  • Molecular & Cellular Proteomics
  • Trends in Biochemical Sciences
  • Communications Biology

Best Publications

  • Nanodroplet processing platform for deep and quantitative proteome profiling of 10-100 mammalian cells.

    Ying Zhu;Paul D. Piehowski;Rui Zhao;Jing Chen

  • Reproducible workflow for multiplexed deep-scale proteome and phosphoproteome analysis of tumor tissues by liquid chromatography-mass spectrometry

    Philipp Mertins;Philipp Mertins;Lauren C. Tang;Karsten Krug;David J. Clark

  • Global analysis of the Deinococcus radiodurans proteome by using accurate mass tags.

    Mary S. Lipton;Ljiljana Paša-Tolić;Gordon A. Anderson;David J. Anderson

  • Temporal proteome and lipidome profiles reveal hepatitis C virus-associated reprogramming of hepatocellular metabolism and bioenergetics.

    Deborah L. Diamond;Andrew J. Syder;Jon M. Jacobs;Christina M. Sorensen

  • High-efficiency nanoscale liquid chromatography coupled on-line with mass spectrometry using nanoelectrospray ionization for proteomics.

    Yufeng Shen;Rui Zhao;Scott J. Berger;Gordon A. Anderson

  • Use of artificial neural networks for the accurate prediction of peptide liquid chromatography elution times in proteome analyses.

    Konstantinos Petritis;Lars J. Kangas;Patrick L. Ferguson;Gordon A. Anderson

  • Automated 20 kpsi RPLC-MS and MS/MS with Chromatographic Peak Capacities of 1000−1500 and Capabilities in Proteomics and Metabolomics

    Yufeng Shen;Rui Zhang;Ronald J. Moore;Jeongkwon Kim

  • Packed Capillary Reversed-Phase Liquid Chromatography with High-Performance Electrospray Ionization Fourier Transform Ion Cyclotron Resonance Mass Spectrometry for Proteomics

    Yufeng Shen;Rui Zhao;Mikhail E. Belov;Thomas P. Conrads

  • High-Throughput Proteomics Using High-Efficiency Multiple-Capillary Liquid Chromatography with On-Line High-Performance ESI FTICR Mass Spectrometry

    Yufeng Shen;Nikola Tolic;Rui Zhao;Ljiljana Pasa-Tolic

  • Proteomic Analysis of Single Mammalian Cells Enabled by Microfluidic Nanodroplet Sample Preparation and Ultrasensitive NanoLC‐MS

    Ying Zhu;Geremy Clair;William B. Chrisler;Yufeng Shen

  • Antibody-free, targeted mass-spectrometric approach for quantification of proteins at low picogram per milliliter levels in human plasma/serum

    Tujin Shi;Thomas L. Fillmore;Xuefei Sun;Rui Zhao

  • Ultrasensitive proteomics using high-efficiency on-line micro-SPE-nanoLC-nanoESI MS and MS/MS.

    Yufeng Shen;Nikola Tolic;Christophe D. Masselon;Liljiana Pasa-Tolic

  • Direct mass spectrometric analysis of intact proteins of the yeast large ribosomal subunit using capillary LC/FTICR

    Sang Won Lee;Scott J. Berger;Scott J. Berger;Suzana Martinović;Ljiljana Paša-Tolić

  • High-Throughput Single Cell Proteomics Enabled by Multiplex Isobaric Labeling in a Nanodroplet Sample Preparation Platform

    Maowei Dou;Geremy Clair;Chia-Feng Tsai;Kerui Xu

  • Preparation of 20-μm-i.d. Silica-Based Monolithic Columns and Their Performance for Proteomics Analyses

    Quanzhou Luo;Yufeng Shen;Kim K. Hixson;Rui Zhao

  • Fully automated four-column capillary LC-MS system for maximizing throughput in proteomic analyses.

    Eric A. Livesay;Keqi Tang;Beverley K. Taylor;Michael A. Buschbach

  • Improved Single-Cell Proteome Coverage Using Narrow-Bore Packed NanoLC Columns and Ultrasensitive Mass Spectrometry.

    Yongzheng Cong;Yiran Liang;Khatereh Motamedchaboki;Romain Huguet

  • An Improved Boosting to Amplify Signal with Isobaric Labeling (iBASIL) Strategy for Precise Quantitative Single-cell Proteomics.

    Chia-Feng Tsai;Rui Zhao;Sarah M. Williams;Ronald J. Moore

  • High-Efficiency On-Line Solid-Phase Extraction Coupling to 15−150-μm-i.d. Column Liquid Chromatography for Proteomic Analysis

    Yufeng Shen;Ronald J. Moore;Rui Zhao;Josip Blonder

  • Effectiveness of CID, HCD, and ETD with FT MS/MS for degradomic-peptidomic analysis: comparison of peptide identification methods.

    Yufeng Shen;Nikola Tolić;Fang Xie;Rui Zhao

Frequent Co-Authors

Richard D. Smith
Richard D. Smith Pacific Northwest National Laboratory
Ronald J. Moore
Ronald J. Moore Pacific Northwest National Laboratory
Ljiljana Paša-Tolić
Ljiljana Paša-Tolić Environmental Molecular Sciences Laboratory
Yufeng Shen
Yufeng Shen Columbia University
David G. Camp
David G. Camp Pacific Northwest National Laboratory
Tao Liu
Tao Liu Pacific Northwest National Laboratory
Karin D. Rodland
Karin D. Rodland Pacific Northwest National Laboratory
Ryan T. Kelly
Ryan T. Kelly Brigham Young University
Wei-Jun Qian
Wei-Jun Qian Pacific Northwest National Laboratory
Marina A. Gritsenko
Marina A. Gritsenko Pacific Northwest National Laboratory

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