Craig Lambert

988 total citations · 1 hit paper
9 papers, 709 citations indexed

About

Craig Lambert is a scholar working on Pharmacology, Statistics and Probability and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Craig Lambert has authored 9 papers receiving a total of 709 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pharmacology, 3 papers in Statistics and Probability and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Craig Lambert's work include Pharmacogenetics and Drug Metabolism (4 papers), Statistical Methods in Clinical Trials (3 papers) and Drug Transport and Resistance Mechanisms (2 papers). Craig Lambert is often cited by papers focused on Pharmacogenetics and Drug Metabolism (4 papers), Statistical Methods in Clinical Trials (3 papers) and Drug Transport and Resistance Mechanisms (2 papers). Craig Lambert collaborates with scholars based in United Kingdom, United States and Sweden. Craig Lambert's co-authors include B. Kevin Park, Dominic P. Williams, Ioana Bica, Mihaela van der Schaar, Ahmed M. Alaa, Sophie Regan, Thomas Hammond, James L. Maggs, Hugh Laverty and Philip A. Routledge and has published in prestigious journals such as Nature Reviews Drug Discovery, Clinical Pharmacology & Therapeutics and Drug Metabolism and Disposition.

In The Last Decade

Craig Lambert

9 papers receiving 686 citations

Hit Papers

Managing the challenge of chemically reactive metabolites... 2011 2026 2016 2021 2011 100 200 300

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Craig Lambert United Kingdom 8 268 229 115 102 87 9 709
Hugues Dolgos Germany 16 392 1.5× 208 0.9× 227 2.0× 186 1.8× 47 0.5× 26 792
Jairam Palamanda United States 19 339 1.3× 252 1.1× 223 1.9× 94 0.9× 108 1.2× 35 968
Michael A. Mohutsky United States 18 437 1.6× 164 0.7× 210 1.8× 93 0.9× 40 0.5× 34 716
B. Jones United Kingdom 7 256 1.0× 174 0.8× 175 1.5× 111 1.1× 24 0.3× 12 580
Heather Eng United States 17 230 0.9× 427 1.9× 176 1.5× 133 1.3× 97 1.1× 41 865
Susan Wong United States 17 314 1.2× 220 1.0× 248 2.2× 55 0.5× 33 0.4× 39 833
Susan Cole United Kingdom 14 290 1.1× 276 1.2× 268 2.3× 200 2.0× 99 1.1× 28 916
Paul Toren United States 11 284 1.1× 206 0.9× 193 1.7× 47 0.5× 52 0.6× 22 661
Faraz Kazmi United States 10 246 0.9× 194 0.8× 156 1.4× 55 0.5× 42 0.5× 17 591

Countries citing papers authored by Craig Lambert

Since Specialization
Citations

This map shows the geographic impact of Craig Lambert's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Craig Lambert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Craig Lambert more than expected).

Fields of papers citing papers by Craig Lambert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Craig Lambert. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Craig Lambert. The network helps show where Craig Lambert may publish in the future.

Co-authorship network of co-authors of Craig Lambert

This figure shows the co-authorship network connecting the top 25 collaborators of Craig Lambert. A scholar is included among the top collaborators of Craig Lambert based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Craig Lambert. Craig Lambert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Bica, Ioana, Ahmed M. Alaa, Craig Lambert, & Mihaela van der Schaar. (2020). From Real‐World Patient Data to Individualized Treatment Effects Using Machine Learning: Current and Future Methods to Address Underlying Challenges. Clinical Pharmacology & Therapeutics. 109(1). 87–100. 112 indexed citations
2.
Helmlinger, Gabriel, Nidal Al‐Huniti, Sergey Aksenov, et al.. (2017). Drug-disease modeling in the pharmaceutical industry - where mechanistic systems pharmacology and statistical pharmacometrics meet. European Journal of Pharmaceutical Sciences. 109. S39–S46. 24 indexed citations
3.
Stassen, Willem, Lee Wallis, Craig Lambert, Maaret Castrén, & Lisa Kurland. (2017). Percutaneous coronary intervention still not accessible for many South Africans. African Journal of Emergency Medicine. 7(3). 105–107. 25 indexed citations
4.
Jones, Barry, Susanne Johansson, Kajsa P. Kanebratt, et al.. (2016). Managing the Risk of CYP3A Induction in Drug Development: A Strategic Approach. Drug Metabolism and Disposition. 45(1). 35–41. 32 indexed citations
5.
Park, B. Kevin, Alan R. Boobis, Stephen E. Clarke, et al.. (2011). Managing the challenge of chemically reactive metabolites in drug development. Nature Reviews Drug Discovery. 10(4). 292–306. 338 indexed citations breakdown →
6.
Regan, Sophie, James L. Maggs, Thomas Hammond, et al.. (2010). Acyl glucuronides: the good, the bad and the ugly. Biopharmaceutics & Drug Disposition. 31(7). 367–395. 136 indexed citations
8.
Riley, Robert J., et al.. (1995). Induction of rodent hepatic drug-metabolizing enzyme activities by the novel anticonvulsant remacemide hydrochloride.. Drug Metabolism and Disposition. 23(9). 922–928. 5 indexed citations
9.
Wright, Jackson T., et al.. (1984). Cimetidine and dapsone acetylation.. Drug Metabolism and Disposition. 12(6). 782–783. 14 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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