World's Best Scientists 2026 revealed!
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Jianguo Xia

D-Index & Metrics

Engineering and Technology

D-Index
49
Citations
45281
World Ranking
4197
National Ranking
174

Jianguo Xia 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 Jianguo Xia 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: 69 publications — 2nd percentile

2% of scientists in this discipline score the same or lower.

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

Jianguo Xia 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 Jianguo Xia 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: 49 D-Index — 57th percentile

57% of scientists in this discipline score the same or lower.

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

Overview

Jianguo Xia is affiliated with McGill University in Canada and has contributed extensively to the field of biochemistry, genetics, and molecular biology with a primary focus on molecular biology within this domain.

Their research spans several key topics including:

  • Metabolomics and Mass Spectrometry Studies
  • Gut microbiota and health
  • Bioinformatics and Genomic Networks
  • Environmental Toxicology and Ecotoxicology
  • Advanced Proteomics Techniques and Applications
  • Gene expression and cancer classification
  • Pharmaceutical and Antibiotic Environmental Impacts

Xia has authored numerous papers published in peer-reviewed journals. Significant recent publications include:

  • MetaboAnalyst 5.0: narrowing the gap between raw spectra and functional insights, 2021, Nucleic Acids Research
  • Using MicrobiomeAnalyst for comprehensive statistical, functional, and meta-analysis of microbiome data, 2020, Nature Protocols
  • Using MetaboAnalyst 5.0 for LC-HRMS spectra processing, multi-omics integration and covariate adjustment of global metabolomics data, 2022, Nature Protocols
  • MetaboAnalyst 6.0: towards a unified platform for metabolomics data processing, analysis and interpretation, 2024, Nucleic Acids Research
  • miRNet 2.0: network-based visual analytics for miRNA functional analysis and systems biology, 2020, Nucleic Acids Research

Their frequent co-authors include Niladri Basu, Jessica Ewald, Guangyan Zhou, Zhiqiang Pang, and Doug Crump, with collaborations reflecting multiple joint publications.

Xia's work has been published predominantly in the following venues:

  • Metabolites
  • Environmental Toxicology and Chemistry
  • Nucleic Acids Research
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nature Protocols

Best Publications

  • MetaboAnalyst 5.0: narrowing the gap between raw spectra and functional insights.

    Zhiqiang Pang;Jasmine Chong;Guangyan Zhou;David Anderson de Lima Morais

  • MetaboAnalyst 4.0: towards more transparent and integrative metabolomics analysis.

    Jasmine Chong;Othman Soufan;Carin Li;Iurie Caraus

  • HMDB 3.0—The Human Metabolome Database in 2013

    David S. Wishart;Timothy Jewison;Anchi Guo;Michael Wilson

  • MetaboAnalyst 3.0—making metabolomics more meaningful

    Jianguo Xia;Igor V. Sinelnikov;Beomsoo Han;David S. Wishart

  • MetaboAnalyst: a web server for metabolomic data analysis and interpretation

    Jianguo Xia;Nick Psychogios;Nelson Young;David S. Wishart

  • HMDB: a knowledgebase for the human metabolome

    David S. Wishart;Craig Knox;Anchi Guo;Roman Eisner

  • Using MetaboAnalyst 4.0 for Comprehensive and Integrative Metabolomics Data Analysis.

    Jasmine Chong;David S. Wishart;Jianguo Xia

  • Using MetaboAnalyst 5.0 for LC–HRMS spectra processing, multi-omics integration and covariate adjustment of global metabolomics data

    Unknown

  • The Human Serum Metabolome

    Nikolaos Psychogios;David D. Hau;Jun Peng;An Chi Guo

  • MicrobiomeAnalyst: a web-based tool for comprehensive statistical, visual and meta-analysis of microbiome data.

    Achal Dhariwal;Jasmine Chong;Salam Habib;Irah L. King

  • NetworkAnalyst 3.0: a visual analytics platform for comprehensive gene expression profiling and meta-analysis.

    Guangyan Zhou;Othman Soufan;Jessica Ewald;Robert E W Hancock

  • Using MicrobiomeAnalyst for comprehensive statistical, functional, and meta-analysis of microbiome data.

    Jasmine Chong;Peng Liu;Guangyan Zhou;Jianguo Xia

  • Web-based inference of biological patterns, functions and pathways from metabolomic data using MetaboAnalyst

    Jianguo Xia;David S Wishart;David S Wishart

  • MetaboAnalyst 2.0—a comprehensive server for metabolomic data analysis

    Jianguo Xia;Rupasri Mandal;Igor V. Sinelnikov;David Broadhurst

  • NetworkAnalyst for statistical, visual and network-based meta-analysis of gene expression data

    Jianguo Xia;Erin E Gill;Robert E W Hancock

  • miRNet 2.0: network-based visual analytics for miRNA functional analysis and systems biology.

    Le Chang;Guangyan Zhou;Othman Soufan;Jianguo Xia

  • MetPA: a web-based metabolomics tool for pathway analysis and visualization

    Jianguo Xia;David S. Wishart

  • MSEA: a web-based tool to identify biologically meaningful patterns in quantitative metabolomic data

    Jianguo Xia;David S. Wishart

  • MetaboAnalystR: an R package for flexible and reproducible analysis of metabolomics data.

    Jasmine Chong;Jianguo Xia

  • MetaboAnalystR 3.0: Toward an Optimized Workflow for Global Metabolomics.

    Zhiqiang Pang;Jasmine Chong;Shuzhao Li;Jianguo Xia

  • NetworkAnalyst - integrative approaches for protein–protein interaction network analysis and visual exploration

    Jianguo Xia;Maia J. Benner;Robert E. W. Hancock

  • miRNet - dissecting miRNA-target interactions and functional associations through network-based visual analysis.

    Yannan Fan;Keith Siklenka;Simran K. Arora;Paula Ribeiro

  • METAGENassist: a comprehensive web server for comparative metagenomics

    David Arndt;Jianguo Xia;Yifeng Liu;You Zhou

  • MetaboMiner--semi-automated identification of metabolites from 2D NMR spectra of complex biofluids.

    Jianguo Xia;Trent C Bjorndahl;Peter Tang;David S Wishart;David S Wishart

  • miRNet—Functional Analysis and Visual Exploration of miRNA–Target Interactions in a Network Context

    Yannan Fan;Jianguo Xia

  • INMEX—a web-based tool for integrative meta-analysis of expression data

    Jianguo Xia;Christopher D. Fjell;Matthew L. Mayer;Olga M. Pena

Frequent Co-Authors

David S. Wishart
David S. Wishart University of Alberta
Robert E. W. Hancock
Robert E. W. Hancock University of British Columbia
Niladri Basu
Niladri Basu McGill University
Markus Hecker
Markus Hecker University of Saskatchewan
Kypros H. Nicolaides
Kypros H. Nicolaides King's College London
Russell Greiner
Russell Greiner University of Alberta
Timothy G. Geary
Timothy G. Geary McGill University
Steven A. Williams
Steven A. Williams Smith College
Thomas Hartung
Thomas Hartung Johns Hopkins University
Minoru Kanehisa
Minoru Kanehisa Kyoto University

External Links

Personal website of Jianguo Xia

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