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Bibliometric Analysis to Explore Trends of the 100 Most Cited Articles in Population Pharmacokinetic and/or Pharmacodynamic Modelling
  • Nur Mardhiya Darnalis,
  • Hadzliana Zainal,
  • Eva Germovsek
Nur Mardhiya Darnalis
Universiti Sains Malaysia
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Hadzliana Zainal
Universiti Sains Malaysia

Corresponding Author:[email protected]

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Eva Germovsek
Boehringer Ingelheim Pharma GmbH und Co KG
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Abstract Aims This bibliometric study aim to analyse the top 100 most cited articles since inception (1964-2021) and in the recent years (2015-2021) to explore the trends of most cited papers using data from the Scopus database. Methods We bibliometrically analysed the most cited articles (n=100) extracted from the Scopus online database from inception (1964-2021) and again in the recent years (2015-2021) using VOSviewer v1.6.15 and Publish or Perish v8 software. Information such as ATC/drug class, model type, software used, studied population, authors’ institutions, journals, collaborations between countries, and funding sources was extracted and compared. Results Majority of the studies (65%) described in the 100 most cited articles were population PK modelling studies, with the proportion of the population PKPD modelling studies increasing over time (from 30 to 43%). A large percentage of the impactful articles (43%) were published by top five journals, analysed adult data (84%) and used NONMEM® (80%), which has not changed much over time. Most of the impactful articles studied chemotherapeutic and immunomodulating (33%), anti-infective (29%), and central nervous system (22%) ATC class of drugs, with articles analysing immunosuppressant drug class increasing the most over time (from 10% to 18%). Conclusion We used a bibliometric approach and investigated research trends in top 100 most cited articles involving PK(/PD) modelling. Apart from the changes mentioned above most other metrics that we compared remained relatively unchanged over time