World's Best Scientists 2026 revealed!

D-Index & Metrics

Chemistry

D-Index
57
Citations
15034
World Ranking
10950
National Ranking
3001

Li Di 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 Li Di 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: 203 publications — 34th percentile

34% of scientists in this discipline score the same or lower.

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

Li Di 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 Li Di 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.

Overview

Li Di is a researcher affiliated with Pfizer in the United States, with a primary focus on medicine and related subfields including neurology, pharmacology, molecular biology, oncology, and infectious diseases. Their body of work spans multiple aspects of drug metabolism, pharmacokinetics, and infectious disease research.

The scientist's recent publications cover several important topics in biomedical research. Key papers include:

  • An oral SARS-CoV-2 M pro inhibitor clinical candidate for the treatment of COVID-19, 2021, Science
  • Clinical diagnosis of 8274 samples with 2019-novel coronavirus in Wuhan, 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • Unbound Brain-to-Plasma Partition Coefficient, Kp,uu,brain-a Game Changing Parameter for CNS Drug Discovery and Development, 2022, Pharmaceutical Research
  • Recent advances in the translation of drug metabolism and pharmacokinetics science for drug discovery and development, 2022, Acta Pharmaceutica Sinica B
  • Disposition of Nirmatrelvir, an Orally Bioavailable Inhibitor of SARS-CoV-2 3C-Like Protease, across Animals and Humans, 2022, Drug Metabolism and Disposition

Li Di frequently collaborates with a network of coauthors, including Yuwei Da, Yan Lü, David A. Tess, Anthony Carlo, and Xinmei Wen. These collaborations have contributed to the development and dissemination of research across their fields of interest.

Their research has been published predominantly in several key scientific venues. These include:

  • The AAPS Journal
  • Drug Metabolism and Pharmacokinetics
  • Journal of Medicinal Chemistry
  • Pharmaceutical Research
  • Journal of Pharmaceutical Sciences

Li Di's principal topics of research cover areas such as pharmacogenetics and drug metabolism, drug transport and resistance mechanisms, computational drug discovery methods, and clinical research related to COVID-19. Other notable topics include protein interaction studies and diseases such as myasthenia gravis and thymoma.

  • Pharmacogenetics and Drug Metabolism
  • Drug Transport and Resistance Mechanisms
  • Computational Drug Discovery Methods
  • Myasthenia Gravis and Thymoma
  • SARS-CoV-2 and COVID-19 Research
  • COVID-19 Clinical Research Studies
  • Protein Interaction Studies and Fluorescence Analysis

Best Publications

  • The effect of plasma protein binding on in vivo efficacy: misconceptions in drug discovery

    Dennis A. Smith;Li Di;Edward H. Kerns

  • Coexistence of passive and carrier-mediated processes in drug transport

    Kiyohiko Sugano;Manfred Kansy;Per Artursson;Alex Avdeef

  • Strategic approaches to optimizing peptide ADME properties.

    Li Di

  • Bridging solubility between drug discovery and development.

    Li Di;Paul V. Fish;Takashi Mano

  • Demystifying brain penetration in central nervous system drug discovery. Miniperspective.

    Li Di;Haojing Rong;Bo Feng

  • Profiling drug-like properties in discovery research

    Li Di;Edward H Kerns

  • Pharmaceutical profiling in drug discovery.

    Edward H Kerns;Li Di

  • Combined application of parallel artificial membrane permeability assay and Caco-2 permeability assays in drug discovery.

    Edward H. Kerns;Li Di;Susan Petusky;Michele Farris

  • Volume of Distribution in Drug Design

    Dennis A. Smith;Kevin Beaumont;Tristan S. Maurer;Li Di

  • Development of a new permeability assay using low-efflux MDCKII cells

    Li Di;Carrie Whitney‐Pickett;John P. Umland;Hui Zhang

  • PAMPA--critical factors for better predictions of absorption.

    Alex Avdeef;Stefanie Bendels;L.i. Di;Bernard Faller

  • Development and application of high throughput plasma stability assay for drug discovery

    Li Di;Edward H. Kerns;Yan Hong;Hong Chen

  • The role of drug metabolizing enzymes in clearance

    Unknown

  • Biological assay challenges from compound solubility: strategies for bioassay optimization

    Li Di;Edward H. Kerns

  • Species Independence in Brain Tissue Binding Using Brain Homogenates

    Li Di;John P Umland;George C Chang;Youping Huang

  • The Impact of Carboxylesterases in Drug Metabolism and Pharmacokinetics

    Li Di

  • Relevance of Half-Life in Drug Design

    Dennis A. Smith;Kevin Beaumont;Tristan S. Maurer;Li Di

  • Systematic Evaluation of Bioorthogonal Reactions in Live Cells with Clickable HaloTag Ligands: Implications for Intracellular Imaging.

    Heather E. Murrey;Joshua C. Judkins;Christopher W. am Ende;T. Eric Ballard

  • Evidence-based approach to assess passive diffusion and carrier-mediated drug transport.

    Li Di;Per Artursson;Alex Avdeef;Gerhard F. Ecker

  • Clearance in Drug Design

    Dennis A Smith;Kevin Beaumont;Tristan S Maurer;Li Di

  • pH-Dependent solubility and permeability criteria for provisional biopharmaceutics classification (BCS and BDDCS) in early drug discovery.

    Manthena V. Varma;Iain Gardner;Stefanus J. Steyn;Paul Nkansah

  • Optimization of a higher throughput microsomal stability screening assay for profiling drug discovery candidates.

    Li Di;Edward H Kerns;Yan Hong;Teresa A Kleintop

  • Mechanistic insights from comparing intrinsic clearance values between human liver microsomes and hepatocytes to guide drug design

    Li Di;Christopher Keefer;Dennis O. Scott;Timothy J. Strelevitz

Frequent Co-Authors

R. Scott Obach
R. Scott Obach Pfizer (United States)
Amit S. Kalgutkar
Amit S. Kalgutkar Pfizer (United States)
Lee E. Schechter
Lee E. Schechter Princeton University
Jeffrey A. Pfefferkorn
Jeffrey A. Pfefferkorn Pfizer (United States)
Alex Avdeef
Alex Avdeef in-ADME Research
Per Artursson
Per Artursson Uppsala University
Hans Lennernäs
Hans Lennernäs Uppsala University
Tarek S. Mansour
Tarek S. Mansour Pfizer (United States)
J. Brian Houston
J. Brian Houston University of Manchester
Annaliesa S. Anderson
Annaliesa S. Anderson Pfizer (United States)

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