Peter Maskell

16.0k total citations · 4 hit papers
78 papers, 10.1k citations indexed

About

Peter Maskell is a scholar working on Toxicology, Strategy and Management and Political Science and International Relations. According to data from OpenAlex, Peter Maskell has authored 78 papers receiving a total of 10.1k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Toxicology, 20 papers in Strategy and Management and 16 papers in Political Science and International Relations. Recurrent topics in Peter Maskell's work include Forensic Toxicology and Drug Analysis (24 papers), Regional Development and Policy (15 papers) and Business Strategy and Innovation (11 papers). Peter Maskell is often cited by papers focused on Forensic Toxicology and Drug Analysis (24 papers), Regional Development and Policy (15 papers) and Business Strategy and Innovation (11 papers). Peter Maskell collaborates with scholars based in United Kingdom, Denmark and Sweden. Peter Maskell's co-authors include Anders Malmberg, Harald Bathelt, A. Malmberg, Eirik Vatne, Heikki Eskelinen, Ingjaldur Hannibalsson, Mark Lorenzen, Giorgia De Paoli, Derrick J. Pounder and Jens Dick‐Nielsen and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Physiology and British Journal of Pharmacology.

In The Last Decade

Peter Maskell

73 papers receiving 8.9k citations

Hit Papers

Clusters and knowledge: local buzz, global pipelines and ... 1999 2026 2008 2017 2004 1999 2002 2001 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Maskell United Kingdom 30 4.6k 4.3k 2.1k 2.1k 1.7k 78 10.1k
Poh Kam Wong Singapore 35 3.3k 0.7× 1.8k 0.4× 342 0.2× 3.2k 1.5× 56 0.0× 123 7.6k
Paul A. David United States 39 4.1k 0.9× 6.5k 1.5× 1.5k 0.7× 1.9k 0.9× 226 0.1× 126 13.0k
Jeremy Howells United Kingdom 34 2.9k 0.6× 1.9k 0.5× 733 0.3× 1.5k 0.7× 354 0.2× 84 5.5k
Attila Varga Hungary 24 1.1k 0.3× 3.3k 0.8× 1.3k 0.6× 1.3k 0.6× 170 0.1× 84 4.7k
Eric A. Posner United States 59 1.3k 0.3× 6.7k 1.6× 2.7k 1.3× 136 0.1× 61 0.0× 322 10.8k
Steven Klepper United States 40 4.5k 1.0× 7.8k 1.8× 563 0.3× 3.1k 1.5× 255 0.2× 78 11.8k
Elisa Giuliani Italy 30 3.2k 0.7× 1.7k 0.4× 537 0.3× 939 0.4× 194 0.1× 95 4.9k
Albert N. Link United States 53 5.5k 1.2× 6.5k 1.5× 1.2k 0.6× 6.1k 2.9× 163 0.1× 327 12.8k
Stephen Roper United Kingdom 51 4.2k 0.9× 4.0k 0.9× 566 0.3× 2.1k 1.0× 121 0.1× 174 7.9k
Erik E. Lehmann Germany 38 1.8k 0.4× 2.9k 0.7× 777 0.4× 3.2k 1.5× 185 0.1× 137 6.4k

Countries citing papers authored by Peter Maskell

Since Specialization
Citations

This map shows the geographic impact of Peter Maskell'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 Peter Maskell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Maskell more than expected).

Fields of papers citing papers by Peter Maskell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter Maskell. 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 Peter Maskell. The network helps show where Peter Maskell may publish in the future.

Co-authorship network of co-authors of Peter Maskell

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Maskell. A scholar is included among the top collaborators of Peter Maskell 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 Peter Maskell. Peter Maskell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Maskell, Peter, et al.. (2024). Identification of 5-aminometonitazene and 5-acetamidometonitazene in a postmortem case: are nitro-nitazenes unstable?. Journal of Analytical Toxicology. 48(9). 691–700. 7 indexed citations
2.
Maskell, Peter, et al.. (2023). Designer Benzodiazepines Gidazepam and Desalkygidazepam (Bromonordiazepam): What Do We Know?. Journal of Analytical Toxicology. 47(4). 324–331. 6 indexed citations
3.
Maskell, Peter, et al.. (2023). A model of evaluative opinion to encourage greater transparency and justification of interpretation in postmortem forensic toxicology. Journal of Analytical Toxicology. 47(7). 563–573. 5 indexed citations
4.
Maskell, Peter, et al.. (2022). Forensic alcohol calculations in transgender individuals undergoing gender‐affirming hormonal treatment. Journal of Forensic Sciences. 67(4). 1624–1631. 4 indexed citations
5.
Maskell, Peter. (2021). Just say no to postmortem drug dose calculations. Journal of Forensic Sciences. 66(5). 1862–1870. 2 indexed citations
6.
Maskell, Peter, et al.. (2019). Post-mortem diagnosis of kidney impairment: An experimental study. Forensic Science International. 301. 271–277. 1 indexed citations
7.
Maskell, Peter, et al.. (2018). The influence of alcohol content variation in UK packaged beers on the uncertainty of calculations using the Widmark equation. Science & Justice. 58(4). 271–275. 9 indexed citations
8.
Maskell, Peter, et al.. (2018). Uncertainty in Widmark calculations: ABV variation in packaged versions of the most popular beers in the UK. Science & Justice. 59(2). 210–213. 2 indexed citations
9.
Maskell, Peter, et al.. (2017). Improving uncertainty in Widmark equation calculations: Alcohol volume, strength and density. Science & Justice. 57(5). 321–330. 6 indexed citations
10.
Maskell, Peter, et al.. (2013). Stability of 3,4-Methylenedioxymethampetamine (MDMA), 4-Methylmethcathinone (Mephedrone) and 3-Trifluromethylphenylpiperazine (3-TFMPP) in Formalin Solution. Journal of Analytical Toxicology. 37(7). 440–446. 14 indexed citations
11.
Maskell, Peter, Giorgia De Paoli, L. Nitin Seetohul, & Derrick J. Pounder. (2012). Phenazepam: The drug that came in from the cold. Journal of Forensic and Legal Medicine. 19(3). 122–125. 38 indexed citations
12.
Maskell, Peter, et al.. (2006). Learning Paths to Offshore Outsourcing - From Cost Reduction to Knowledge Seeking. SSRN Electronic Journal. 49 indexed citations
13.
Lorenzen, Mark & Peter Maskell. (2005). The cluster as a nexus of knowledge creation. Chapters. 1 indexed citations
14.
Christensen, Jens Frøslev & Peter Maskell. (2003). The Industrial Dynamics of the New Digital Economy. RePEc: Research Papers in Economics. 32 indexed citations
15.
Maskell, Peter, Keith A. Wafford, & Isabel Bermúdez. (2001). Effects of γ‐HCH and δ‐HCH on human recombinant GABAA receptors: dependence on GABAA receptor subunit combination. British Journal of Pharmacology. 132(1). 205–212. 7 indexed citations
16.
Malmberg, Anders & Peter Maskell. (2001). Närings- och regionalpolitik för lärande, innovation och konkurrenskraft: Inledande sammanfattning. 7–36. 1 indexed citations
17.
Maskell, Peter. (2001). The Firm in Economic Geography. Economic Geography. 77(4). 329–329. 101 indexed citations
18.
Maskell, Peter & Anders Malmberg. (1999). Localised Learning and Industrial Competitiveness. SSRN Electronic Journal. 38 indexed citations
19.
Maskell, Peter & Gunnar Törnqvist. (1999). Building a Cross-Border Learning Region: Emergence of the North European Oresund Region. Medical Entomology and Zoology. 41 indexed citations
20.
Maskell, Peter. (1994). Industriel dynamik og regional inerti. 58. 1 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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