World's Best Scientists 2026 revealed!

D-Index & Metrics

Chemistry

D-Index
57
Citations
9451
World Ranking
11323
National Ranking
1823

Xin Lu 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 Xin Lu 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: 644 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: 253 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+

This scientist: 145 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

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

Xin Lu 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 Xin Lu 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: 776 scientists 68–69 D-Index: 683 scientists 70–71 D-Index: 647 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+

This scientist: 57 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2020 - Fellow of the Royal Society, United Kingdom

Best Publications

  • Metabolic Characterization of Hepatocellular Carcinoma Using Nontargeted Tissue Metabolomics

    Qiang Huang;Yexiong Tan;Peiyuan Yin;Guozhu Ye

  • A Large-scale, multicenter serum metabolite biomarker identification study for the early detection of hepatocellular carcinoma.

    Ping Luo;Peiyuan Yin;Rui Hua;Yexiong Tan

  • Comprehensive two-dimensional gas chromatography/time-of-flight mass spectrometry for metabonomics: Biomarker discovery for diabetes mellitus.

    Xiang Li;Zhiliang Xu;Xin Lu;Xuehui Yang

  • Pseudotargeted metabolomics method and its application in serum biomarker discovery for hepatocellular carcinoma based on ultra high-performance liquid chromatography/triple quadrupole mass spectrometry.

    Shili Chen;Hongwei Kong;Xin Lu;Yong Li

  • A metabonomic study of hepatitis B-induced liver cirrhosis and hepatocellular carcinoma by using RP-LC and HILIC coupled with mass spectrometry

    Peiyuan Yin;Dafang Wan;Chunxia Zhao;Jing Chen

  • Practical approach for the identification and isomer elucidation of biomarkers detected in a metabonomic study for the discovery of individuals at risk for diabetes by integrating the chromatographic and mass spectrometric information.

    Jing Chen;Xinjie Zhao;Jens Fritsche;Peiyuan Yin

  • Characterization of flavor compounds in Chinese liquor Moutai by comprehensive two-dimensional gas chromatography/time-of-flight mass spectrometry

    Shukui Zhu;Xin Lu;Keliang Ji;Kunliang Guo

  • Effect of traditional Chinese medicine berberine on type 2 diabetes based on comprehensive metabonomics.

    Yan Gu;Yifei Zhang;Xianzhe Shi;Xiaoying Li

  • A support vector machine-recursive feature elimination feature selection method based on artificial contrast variables and mutual information

    Xiaohui Lin;Fufang Yang;Lina Zhou;Peiyuan Yin

  • Multiple reaction monitoring-ion pair finder: a systematic approach to transform nontargeted mode to pseudotargeted mode for metabolomics study based on liquid chromatography-mass spectrometry.

    Ping Luo;Weidong Dai;Peiyuan Yin;Zhongda Zeng

  • Metabolomics Study on the Toxicity of Aconite Root and Its Processed Products Using Ultraperformance Liquid-Chromatography/Electrospray-Ionization Synapt High-Definition Mass Spectrometry Coupled with Pattern Recognition Approach and Ingenuity Pathways Analysis

    Xijun Wang;Huiyu Wang;Aihua Zhang;Xin Lu

  • Integration of Metabolomics and Transcriptomics Reveals Major Metabolic Pathways and Potential Biomarker Involved in Prostate Cancer

    Shancheng Ren;Yaping Shao;Xinjie Zhao;Christopher S. Hong

  • Determination of sulfur-containing compounds in diesel oils by comprehensive two-dimensional gas chromatography with a sulfur chemiluminescence detector

    Ruixiang Hua;Yanyan Li;Wei Liu;Jincheng Zheng

  • Metabolomics study of stepwise hepatocarcinogenesis from the model rats to patients: potential biomarkers effective for small hepatocellular carcinoma diagnosis

    Yexiong Tan;Peiyuan Yin;Liang Tang;Wenbin Xing

  • Serum metabolomics reveals the deregulation of fatty acids metabolism in hepatocellular carcinoma and chronic liver diseases

    Lina Zhou;Quancai Wang;Peiyuan Yin;Wenbin Xing

  • Integration of lipidomics and transcriptomics unravels aberrant lipid metabolism and defines cholesteryl oleate as potential biomarker of prostate cancer.

    Jia Li;Shancheng Ren;Hai-long Piao;Fubo Wang

  • Analysis of cigarette smoke condensates by comprehensive two-dimensional gas chromatography/time-of-flight mass spectrometry I acidic fraction.

    Xin Lu;Junlan Cai;Hongwei Kong;Ming Wu

  • Development of urinary pseudotargeted LC-MS-based metabolomics method and its application in hepatocellular carcinoma biomarker discovery.

    Yaping Shao;Bin Zhu;Ruiyin Zheng;Xinjie Zhao

  • Metabolic fingerprinting investigation of Artemisia annua L. in different stages of development by gas chromatography and gas chromatography–mass spectrometry

    Chenfei Ma;Huahong Wang;Xin Lu;Guowang Xu

  • Metabolomics Study of Hepatocellular Carcinoma: Discovery and Validation of Serum Potential Biomarkers by Using Capillary Electrophoresis-Mass Spectrometry

    Jun Zeng;Peiyuan Yin;Yexiong Tan;Liwei Dong

Frequent Co-Authors

Guowang Xu
Guowang Xu Chinese Academy of Sciences
Xiaojun Peng
Xiaojun Peng Dalian University of Technology
Aiping Lu
Aiping Lu Hong Kong Baptist University
Erwin Schleicher
Erwin Schleicher University of Ulm
Weiping Jia
Weiping Jia Shanghai Jiao Tong University
Hongyang Wang
Hongyang Wang Second Military Medical University
Ian T. Baldwin
Ian T. Baldwin Max Planck Institute for Chemical Ecology
Jianqiang Wu
Jianqiang Wu Chinese Academy of Sciences
Xiuqing Zhang
Xiuqing Zhang China Agricultural University
Lei Zhang
Lei Zhang South China University of Technology

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