Daniel Pasin

574 total citations
17 papers, 384 citations indexed

About

Daniel Pasin is a scholar working on Toxicology, Spectroscopy and Molecular Biology. According to data from OpenAlex, Daniel Pasin has authored 17 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Toxicology, 11 papers in Spectroscopy and 10 papers in Molecular Biology. Recurrent topics in Daniel Pasin's work include Forensic Toxicology and Drug Analysis (11 papers), Metabolomics and Mass Spectrometry Studies (9 papers) and Mass Spectrometry Techniques and Applications (8 papers). Daniel Pasin is often cited by papers focused on Forensic Toxicology and Drug Analysis (11 papers), Metabolomics and Mass Spectrometry Studies (9 papers) and Mass Spectrometry Techniques and Applications (8 papers). Daniel Pasin collaborates with scholars based in Australia, Denmark and United States. Daniel Pasin's co-authors include Shanlin Fu, Adam Cawley, Petur Weihe Dalsgaard, Leonard J. Foster, Michael A. Skinnider, Christian Brinch Mollerup, David S. Wishart, Russell Greiner, Fei Wang and Brian Schou Rasmussen and has published in prestigious journals such as Analytical Chemistry, Analytica Chimica Acta and Analytical and Bioanalytical Chemistry.

In The Last Decade

Daniel Pasin

16 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Pasin Australia 10 223 191 160 81 41 17 384
Christian Brinch Mollerup Denmark 11 175 0.8× 226 1.2× 155 1.0× 48 0.6× 27 0.7× 19 408
Andrea E. Schwaninger Germany 14 289 1.3× 156 0.8× 110 0.7× 136 1.7× 91 2.2× 18 489
Sascha K. Manier Germany 13 197 0.9× 184 1.0× 71 0.4× 74 0.9× 59 1.4× 25 347
Peter Stockham Australia 11 263 1.2× 132 0.7× 105 0.7× 97 1.2× 48 1.2× 28 401
Rasmus Telving Denmark 9 244 1.1× 122 0.6× 90 0.6× 115 1.4× 70 1.7× 9 360
Marie Mardal Denmark 16 384 1.7× 275 1.4× 224 1.4× 134 1.7× 94 2.3× 31 668
Bárbara Silva Portugal 11 123 0.6× 72 0.4× 126 0.8× 41 0.5× 39 1.0× 20 301
Maria Katselou Greece 14 195 0.9× 133 0.7× 37 0.2× 82 1.0× 62 1.5× 21 440
Melissa F. Fogarty United States 12 315 1.4× 71 0.4× 72 0.5× 89 1.1× 78 1.9× 18 440
Jan Schäper Germany 13 146 0.7× 65 0.3× 112 0.7× 59 0.7× 64 1.6× 22 357

Countries citing papers authored by Daniel Pasin

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Pasin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Pasin

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

All Works

17 of 17 papers shown
1.
2.
Gundersen, Per Ole M., Daniel Pasin, Lars Slørdal, Olav Spigset, & Martin Josefsson. (2024). Retrospective screening of new psychoactive substances (NPS) in post mortem samples from 2014 to 2021. Forensic Science International. 361. 112131–112131. 2 indexed citations
3.
Pasin, Daniel, et al.. (2023). The use of novel electronic nose technology to locate missing persons for criminal investigations. iScience. 26(4). 106353–106353. 10 indexed citations
4.
Skinnider, Michael A., Daniel Pasin, Jason C. Rogalski, et al.. (2023). Identification of Emerging Novel Psychoactive Substances by Retrospective Analysis of Population-Scale Mass Spectrometry Data Sets. Analytical Chemistry. 95(47). 17300–17310. 8 indexed citations
5.
Pasin, Daniel, Michael A. Skinnider, Jaanus Liigand, et al.. (2023). Deep Learning-Enabled MS/MS Spectrum Prediction Facilitates Automated Identification Of Novel Psychoactive Substances. Analytical Chemistry. 95(50). 18326–18334. 20 indexed citations
6.
Pasin, Daniel, et al.. (2022). Metabolomics‐driven determination of targets for salicylic acid and ibuprofen in positive electrospray ionization using LC‐HRMS. Drug Testing and Analysis. 14(4). 747–756. 3 indexed citations
7.
Cawley, Adam, et al.. (2022). Developments in high-resolution mass spectrometric analyses of new psychoactive substances. Archives of Toxicology. 96(4). 949–967. 20 indexed citations
8.
Pasin, Daniel, et al.. (2022). Identification of the synthetic cannabinoid‐type new psychoactive substance, CH‐PIACA, in seized material. Drug Testing and Analysis. 14(9). 1645–1651. 17 indexed citations
9.
Pasin, Daniel, et al.. (2022). Identification of the novel synthetic cannabinoid-type new psychoactive substance, CH-PIACA, in seized material. Annales de Toxicologie Analytique. 34(3). S153–S153. 1 indexed citations
10.
Skinnider, Michael A., Fei Wang, Daniel Pasin, et al.. (2021). A deep generative model enables automated structure elucidation of novel psychoactive substances. Nature Machine Intelligence. 3(11). 973–984. 55 indexed citations
11.
Pasin, Daniel, Christian Brinch Mollerup, Brian Schou Rasmussen, Kristían Línnet, & Petur Weihe Dalsgaard. (2021). Development of a single retention time prediction model integrating multiple liquid chromatography systems: Application to new psychoactive substances. Analytica Chimica Acta. 1184. 339035–339035. 28 indexed citations
12.
Cawley, Adam, et al.. (2020). Finding the proverbial needle: Non‐targeted screening of synthetic opioids in equine plasma. Drug Testing and Analysis. 13(5). 977–989. 8 indexed citations
13.
Pasin, Daniel, et al.. (2017). Current applications of high-resolution mass spectrometry for the analysis of new psychoactive substances: a critical review. Analytical and Bioanalytical Chemistry. 409(25). 5821–5836. 105 indexed citations
14.
Pasin, Daniel, et al.. (2017). Characterization of hallucinogenic phenethylamines using high‐resolution mass spectrometry for non‐targeted screening purposes. Drug Testing and Analysis. 9(10). 1620–1629. 23 indexed citations
15.
Pasin, Daniel, et al.. (2016). Simultaneous Screening and Quantification of Basic, Neutral and Acidic Drugs in Blood Using UPLC-QTOF-MS. Journal of Analytical Toxicology. 41(3). 181–195. 30 indexed citations
16.
17.
Pasin, Daniel, et al.. (2014). Analysis of New Designer Drugs in Post-Mortem Blood Using High-Resolution Mass Spectrometry. Journal of Analytical Toxicology. 39(3). 163–171. 46 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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