Daniel Pasin
Impact in
- Toxicology top 0.5%
- Forensic Toxicology and Drug Analysis
- Spectroscopy top 5%
- Mass Spectrometry Techniques and Applications
- Analytical Chemistry and Chromatography
Papers in ⓘ
- Toxicology 11
- Forensic Toxicology and Drug Analysis 11
- Spectroscopy 11
- Mass Spectrometry Techniques and Applications 8
- Analytical Chemistry and Chromatography 5
- Co-authors
- Shanlin Fu (6 shared papers)Adam Cawley (5 shared papers)Petur Weihe Dalsgaard (6 shared papers)Michael A. Skinnider (3 shared papers)Leonard J. Foster (3 shared papers)Russell Greiner (2 shared papers)Christian Brinch Mollerup (4 shared papers)David S. Wishart (2 shared papers)
- Journals
- Drug Testing and Analysis (4 papers)Journal of Analytical Toxicology (3 papers)Analytical Chemistry (2 papers)iScience (1 paper)Analytical and Bioanalytical Chemistry (1 paper)
- Partner nations
- AustraliaDenmarkUnited States
In The Last Decade
Daniel Pasin
16 papers receiving 371 citations
Peers
Comparison fields: 5 of 59
- Toxicology 223
- Spectroscopy 160
- Clinical Psychology 81
- Molecular Biology 191
- Computational Theory and Mathematics 40
Countries citing papers authored by Daniel Pasin
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
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-authors
The 25 scholars most cited alongside Daniel Pasin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 105 | |
| 2 | 2021 | 55 | |
| 3 | 2014 | 46 | |
| 4 | 2016 | 30 | |
| 5 | 2021 | 28 | |
| 6 | 2017 | 23 | |
| 7 | 2022 | 20 | |
| 8 | 2023 | 20 | |
| 9 | 2022 | 17 | |
| 10 | 2023 | 10 | |
| 11 | 2020 | 8 | |
| 12 | 2016 | 8 | |
| 13 | 2023 | 8 | |
| 14 | 2022 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2022 | 1 | |
| 17 | 2025 | 0 |
About Daniel Pasin
Daniel Pasin is a scholar working on Toxicology, Spectroscopy, Clinical Psychology, Molecular Biology and Computational Theory and Mathematics, having authored 17 papers that have together received 384 indexed citations. Recurring topics across this work include Forensic Toxicology and Drug Analysis (11 papers), Metabolomics and Mass Spectrometry Studies (9 papers), Mass Spectrometry Techniques and Applications (8 papers), Psychedelics and Drug Studies (5 papers), Analytical Chemistry and Chromatography (5 papers), Advanced Chemical Sensor Technologies (2 papers), Computational Drug Discovery Methods (2 papers) and Forensic Fingerprint Detection Methods (1 paper). The work is most often cited by research in Toxicology (223 citations), Spectroscopy (160 citations), Clinical Psychology (81 citations), Molecular Biology (191 citations) and Computational Theory and Mathematics (40 citations). Daniel Pasin has collaborated with scholars based in Australia, Denmark and United States. Frequent co-authors include Shanlin Fu, Adam Cawley, Petur Weihe Dalsgaard, Michael A. Skinnider, Leonard J. Foster, Russell Greiner, Christian Brinch Mollerup, David S. Wishart, Fei Wang and Kristían Línnet. Their work appears in journals such as Drug Testing and Analysis, Journal of Analytical Toxicology, Analytical Chemistry, iScience and Analytical and Bioanalytical Chemistry.
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.