World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
85
Citations
23501
World Ranking
14715
National Ranking
1351

Amin Rostami-Hodjegan publication distribution in Medicine in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Medicine in 2026. The highlighted bar marks where Amin Rostami-Hodjegan sits on this spectrum.

101–120 publications: 5 scientists 121–140 publications: 26 scientists 141–160 publications: 73 scientists 161–180 publications: 155 scientists 181–200 publications: 230 scientists 201–220 publications: 363 scientists 221–240 publications: 487 scientists 241–260 publications: 545 scientists 261–280 publications: 722 scientists 281–300 publications: 768 scientists 301–320 publications: 834 scientists 321–340 publications: 895 scientists 341–360 publications: 922 scientists 361–380 publications: 838 scientists 381–400 publications: 861 scientists 401–420 publications: 918 scientists 421–440 publications: 806 scientists 441–460 publications: 771 scientists 461–480 publications: 751 scientists 481–500 publications: 713 scientists 501–520 publications: 617 scientists 521–540 publications: 611 scientists 541–560 publications: 537 scientists 561–580 publications: 504 scientists 581–600 publications: 509 scientists 601–620 publications: 396 scientists 621–640 publications: 386 scientists 641–660 publications: 371 scientists 661–680 publications: 340 scientists 681–700 publications: 336 scientists 701–720 publications: 307 scientists 721–740 publications: 259 scientists 741–760 publications: 230 scientists 761–780 publications: 228 scientists 781–800 publications: 217 scientists 801–820 publications: 204 scientists 821–840 publications: 186 scientists 841–860 publications: 177 scientists 861–880 publications: 155 scientists 881–900 publications: 139 scientists 901–920 publications: 145 scientists 921–940 publications: 116 scientists 941–960 publications: 133 scientists 961–980 publications: 91 scientists 981–1,000 publications: 96 scientists 1,001–1,020 publications: 77 scientists 1,021–1,040 publications: 70 scientists 1,041–1,060 publications: 63 scientists 1,061–1,080 publications: 77 scientists 1,081–1,100 publications: 49 scientists 1,101–1,120 publications: 54 scientists 1,121–1,140 publications: 49 scientists 1,141–1,160 publications: 51 scientists 1,161–1,180 publications: 35 scientists 1,181–1,200 publications: 39 scientists 1,201–1,220 publications: 26 scientists 1,221–1,240 publications: 37 scientists 1,241–1,260 publications: 36 scientists 1,261–1,280 publications: 27 scientists 1,281–1,300 publications: 32 scientists 1,301–1,320 publications: 28 scientists 1,321–1,340 publications: 17 scientists 1,341–1,360 publications: 30 scientists 1,361–1,380 publications: 28 scientists 1,381–1,400 publications: 17 scientists 1,401–1,420 publications: 21 scientists 1,421–1,440 publications: 15 scientists 1,441–1,460 publications: 12 scientists 1,461–1,480 publications: 12 scientists 1,481–1,500 publications: 18 scientists 1,501–1,520 publications: 14 scientists 1,521–1,540 publications: 17 scientists 1,541–1,560 publications: 15 scientists 1,561–1,580 publications: 6 scientists 1,581–1,600 publications: 2 scientists 1,601–1,620 publications: 12 scientists 1,621–1,640 publications: 11 scientists 1,641–1,660 publications: 8 scientists 1,661–1,680 publications: 5 scientists 1,681–1,700 publications: 5 scientists 1,701–1,720 publications: 10 scientists 1,721–1,740 publications: 12 scientists 1,741–1,760 publications: 14 scientists 1,761–1,780 publications: 6 scientists 1,781–1,795 publications: 5 scientists 1,796+ publications: 100 scientists
101 publications 1,796+

This scientist: 444 publications — 48th percentile

48% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,796 publications or more.

Amin Rostami-Hodjegan D-index placement in Medicine in 2026

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

70–71 D-Index: 226 scientists 72–73 D-Index: 391 scientists 74–75 D-Index: 574 scientists 76–77 D-Index: 730 scientists 78–79 D-Index: 891 scientists 80–81 D-Index: 972 scientists 82–83 D-Index: 1,027 scientists 84–85 D-Index: 1,003 scientists 86–87 D-Index: 960 scientists 88–89 D-Index: 970 scientists 90–91 D-Index: 922 scientists 92–93 D-Index: 839 scientists 94–95 D-Index: 808 scientists 96–97 D-Index: 779 scientists 98–99 D-Index: 668 scientists 100–101 D-Index: 611 scientists 102–103 D-Index: 630 scientists 104–105 D-Index: 513 scientists 106–107 D-Index: 541 scientists 108–109 D-Index: 445 scientists 110–111 D-Index: 429 scientists 112–113 D-Index: 400 scientists 114–115 D-Index: 393 scientists 116–117 D-Index: 318 scientists 118–119 D-Index: 302 scientists 120–121 D-Index: 287 scientists 122–123 D-Index: 255 scientists 124–125 D-Index: 256 scientists 126–127 D-Index: 252 scientists 128–129 D-Index: 230 scientists 130–131 D-Index: 179 scientists 132–133 D-Index: 168 scientists 134–135 D-Index: 163 scientists 136–137 D-Index: 159 scientists 138–139 D-Index: 134 scientists 140–141 D-Index: 134 scientists 142–143 D-Index: 118 scientists 144–145 D-Index: 109 scientists 146–147 D-Index: 106 scientists 148–149 D-Index: 74 scientists 150–151 D-Index: 79 scientists 152–153 D-Index: 80 scientists 154–155 D-Index: 87 scientists 156–157 D-Index: 57 scientists 158–159 D-Index: 74 scientists 160–161 D-Index: 69 scientists 162–163 D-Index: 60 scientists 164–165 D-Index: 53 scientists 166–167 D-Index: 39 scientists 168–169 D-Index: 42 scientists 170–171 D-Index: 32 scientists 172–173 D-Index: 39 scientists 174–175 D-Index: 40 scientists 176–177 D-Index: 28 scientists 178–179 D-Index: 19 scientists 180–181 D-Index: 23 scientists 182–183 D-Index: 31 scientists 184–185 D-Index: 18 scientists 186–187 D-Index: 20 scientists 188–189 D-Index: 22 scientists 190–191 D-Index: 13 scientists 192–193 D-Index: 21 scientists 194–195 D-Index: 12 scientists 196–197 D-Index: 12 scientists 198–199 D-Index: 14 scientists 200–201 D-Index: 15 scientists 202–203 D-Index: 13 scientists 204–205 D-Index: 10 scientists 206–207 D-Index: 8 scientists 208–209 D-Index: 4 scientists 210–211 D-Index: 12 scientists 212–213 D-Index: 11 scientists 214–215 D-Index: 10 scientists 216 D-Index: 4 scientists 217+ D-Index: 98 scientists
70 D-Index 217+

This scientist: 85 D-Index — 29th percentile

29% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 217 D-Index or more.

Overview

Amin Rostami-Hodjegan is affiliated with the University of Manchester in the United Kingdom. Their research spans multiple areas within medicine and pharmacology, focusing particularly on drug metabolism, pharmacogenetics, and clinical pharmacology.

The scientist's primary fields of study include:

  • Medicine
  • Pharmacology, Toxicology and Pharmaceutics

Within these areas, their subfields of expertise encompass:

  • Pharmacology
  • Oncology
  • Pediatrics, Perinatology and Child Health
  • Statistics and Probability
  • Molecular Biology

The main topics covered in their work are:

  • Pharmacogenetics and Drug Metabolism
  • Drug Transport and Resistance Mechanisms
  • Statistical Methods in Clinical Trials
  • Pharmacological Effects and Toxicity Studies
  • Biosimilars and Bioanalytical Methods
  • Drug Solubility and Delivery Systems
  • Receptor Mechanisms and Signaling

Frequent co-authors collaborating with Amin Rostami-Hodjegan include:

  • Brahim Achour
  • Zubida M. Al-Majdoub
  • Jill Barber
  • Daniel Scotcher
  • Aleksandra Galetin

The scientist has contributed notably to publications in several prominent venues, including:

  • Clinical Pharmacology & Therapeutics
  • CPT Pharmacometrics & Systems Pharmacology
  • Drug Metabolism and Disposition
  • Drug Metabolism and Pharmacokinetics
  • The AAPS Journal

Some recent publications reflect the scope of their research interests and are as follows:

  • "Model-Informed Precision Dosing: Background, Requirements, Validation, Implementation, and Forward Trajectory of Individualizing Drug Therapy" (2020), published in The Annual Review of Pharmacology and Toxicology
  • "Physiological-based pharmacokinetic modeling trends in pharmaceutical drug development over the last 20-years; in-depth analysis of applications, organizations, and platforms" (2020), published in Biopharmaceutics & Drug Disposition
  • "Quantitative Proteomics of Clinically Relevant Drug-Metabolizing Enzymes and Drug Transporters and Their Intercorrelations in the Human Small Intestine" (2020), published in Drug Metabolism and Disposition
  • "Liquid Biopsy Enables Quantification of the Abundance and Interindividual Variability of Hepatic Enzymes and Transporters" (2020), published in Clinical Pharmacology & Therapeutics
  • "Non-uniformity of Changes in Drug-Metabolizing Enzymes and Transporters in Liver Cirrhosis: Implications for Drug Dosage Adjustment" (2021), published in Molecular Pharmaceutics

Best Publications

  • Prediction of the clearance of eleven drugs and associated variability in neonates, infants and children.

    Trevor N Johnson;Amin Rostami-Hodjegan;Amin Rostami-Hodjegan;Geoffrey T Tucker;Geoffrey T Tucker

  • Simulation and prediction of in vivo drug metabolism in human populations from in vitro data

    Amin Rostami-Hodjegan;Geoffrey T. Tucker

  • The Simcyp® population-based ADME simulator

    Masoud Jamei;Steve Marciniak;Kairui Feng;Adrian Barnett

  • Population-Based Mechanistic Prediction of Oral Drug Absorption

    Masoud Jamei;David Turner;Jiansong Yang;Sibylle Neuhoff

  • Scaling factors for the extrapolation of in vivo metabolic drug clearance from in vitro data: reaching a consensus on values of human microsomal protein and hepatocellularity per gram of liver.

    Zoe E Barter;Martin K Bayliss;Philip H Beaune;Alan R Boobis

  • Prediction of intestinal first-pass drug metabolism.

    Jiansong Yang;Masoud Jamei;Karen Rowland Yeo;Geoffrey T. Tucker

  • Anatomical, physiological and metabolic changes with gestational age during normal pregnancy: A database for parameters required in physiologically based pharmacokinetic modelling

    Khaled Abduljalil;Penny Furness;Trevor N. Johnson;Amin Rostami-Hodjegan;Amin Rostami-Hodjegan

  • Modified-Release Hydrocortisone to Provide Circadian Cortisol Profiles

    Miguel Debono;Cyrus Ghobadi;Amin Rostami-Hodjegan;Hiep Huatan

  • A Framework for Assessing Inter-individual Variability in Pharmacokinetics Using Virtual Human Populations and Integrating General Knowledge of Physical Chemistry, Biology, Anatomy, Physiology and Genetics: A Tale of ‘Bottom-Up’ vs ‘Top-Down’ Recognition of Covariates

    Masoud Jamei;Gemma L. Dickinson;Amin Rostami-Hodjegan;Amin Rostami-Hodjegan

  • Changes in liver volume from birth to adulthood: A meta‐analysis

    Trevor N. Johnson;Geoffrey T. Tucker;Geoffrey T. Tucker;M. Stuart Tanner;Amin Rostami‐Hodjegan;Amin Rostami‐Hodjegan

  • Physiologically based pharmacokinetics joined with in vitro-in vivo extrapolation of ADME: a marriage under the arch of systems pharmacology.

    A Rostami-Hodjegan;A Rostami-Hodjegan

  • PBPK models for the prediction of in vivo performance of oral dosage forms

    Edmund S. Kostewicz;Leon Aarons;Martin Bergstrand;Michael B. Bolger

  • Weight-related dosing, timing and monitoring hydrocortisone replacement therapy in patients with adrenal insufficiency.

    Peak M. Mah;Richard C. Jenkins;Amin Rostami-Hodjegan;John Newell-Price

  • ‘In silico’ simulations to assess the ‘in vivo’ consequences of ‘in vitro’ metabolic drug–drug interactions

    Amin Rostami-Hodjegan;Amin Rostami-Hodjegan;Geoff Tucker

  • Cytochrome p450 turnover: regulation of synthesis and degradation, methods for determining rates, and implications for the prediction of drug interactions.

    Jiansong Yang;Mingxiang Liao;Magang Shou;Masoud Jamei

  • Combining the 'bottom up' and 'top down' approaches in pharmacokinetic modelling: fitting PBPK models to observed clinical data.

    Nikolaos Tsamandouras;Amin Rostami-Hodjegan;Amin Rostami-Hodjegan;Leon Aarons

  • Physiologically based mechanistic modelling to predict complex drug–drug interactions involving simultaneous competitive and time-dependent enzyme inhibition by parent compound and its metabolite in both liver and gut—The effect of diltiazem on the time-course of exposure to triazolam

    Karen Rowland Yeo;Masoud Jamei;Jiansong Yang;Geoffrey T. Tucker;Geoffrey T. Tucker

  • Prediction of in vivo drug clearance from in vitro data. I: Impact of inter-individual variability

    E. M. Howgate;K. Rowland Yeo;N. J. Proctor;G. T. Tucker

  • Predicting drug clearance from recombinantly expressed CYPs: intersystem extrapolation factors

    N J Proctor;G T Tucker;A Rostami-Hodjegan

  • Interplay of metabolism and transport in determining oral drug absorption and gut wall metabolism: a simulation assessment using the "Advanced Dissolution, Absorption, Metabolism (ADAM)" model

    A. S. Darwich;S. Neuhoff;M. Jamei;A. Rostami-Hodjegan

Frequent Co-Authors

Richard J. Ross
Richard J. Ross University of Sheffield
Hans Lennernäs
Hans Lennernäs Uppsala University
Jashvant D. Unadkat
Jashvant D. Unadkat University of Washington
Meindert Danhof
Meindert Danhof Leiden University
William J. Ledger
William J. Ledger University of New South Wales
Lawrence J. Lesko
Lawrence J. Lesko University of Florida
Hiroshi Yamazaki
Hiroshi Yamazaki Showa Pharmaceutical University
J. Brian Houston
J. Brian Houston University of Manchester
Simon Heller
Simon Heller University of Sheffield
Per Artursson
Per Artursson Uppsala University

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