Dan Simpson
- Biophysics top 0.5%
- Structural Biology top 2%
- Molecular Biology top 5%
- Biochemical and Molecular Research 2
- Protein purification and stability 2
- Cell Biology top 5%
- Organic Chemistry top 5%
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- Statistical Methods and Bayesian Inference 2
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- Virus-based gene therapy research 2
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- Electric and Hybrid Vehicle Technologies 2
- Advanced Battery Technologies Research 2
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- Analytical Chemistry and Chromatography 2
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- Electric Vehicles and Infrastructure 2
- Co-authors
- Marjeta UrhLance P. EncellKeith V. WoodRachel Friedman OhanaNatasha KarassinaAldis DarzinsPaul OttoJi Zhu
- Journals
- Protein Expression and Purification (2 papers)Statistics and Computing (1 paper)Applied and Environmental Microbiology (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Dan Simpson
16 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Biophysics 453
- Structural Biology 93
- Molecular Biology 1.6k
- Cell Biology 312
- Organic Chemistry 471
Countries citing papers authored by Dan Simpson
This map shows the geographic impact of Dan Simpson'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 Dan Simpson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Simpson more than expected).
Fields of papers citing papers by Dan Simpson
This network shows the impact of papers produced by Dan Simpson. 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 Dan Simpson. The network helps show where Dan Simpson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dan Simpson, 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 | 2024 | 2 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 0 | |
| 4 | 2019 | 5 | |
| 5 | 2009 | 126 | |
| 6 | 2009 | 89 | |
| 7 | 2008 | 3 | |
| 8 | HaloTag: A Novel Protein Labeling Technology for Cell Imaging and Protein Analysisbreakdown → | 2008 | 1810 |
| 9 | 2008 | 1 | |
| 10 | 2004 | 8 | |
| 11 | 2002 | 22 | |
| 12 | 2002 | 58 | |
| 13 | 2002 | 91 | |
| 14 | 2002 | 4 | |
| 15 | 2001 | 10 | |
| 16 | Variation in results of cost-effective EMIT assays on the Cobas-Bio analyser. | 1993 | 1 |
| 17 | 1989 | 2 | |
| 18 | Detection of opiates in urine: a cost-effective low risk immunoassay procedure. | 1989 | 3 |
About Dan Simpson
Dan Simpson is a scholar working on Toxicology, Statistics and Probability, Animal Science and Zoology, Automotive Engineering and Clinical Biochemistry, having authored 18 papers that have together received 2.2k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (2 papers), Virus-based gene therapy research (2 papers), Electric and Hybrid Vehicle Technologies (2 papers), Analytical Chemistry and Chromatography (2 papers), Electric Vehicles and Infrastructure (2 papers), Biochemical and Molecular Research (2 papers), Advanced Battery Technologies Research (2 papers) and Protein purification and stability (2 papers). The work is most often cited by research in Biophysics (453 citations), Structural Biology (93 citations), Molecular Biology (1.6k citations), Cell Biology (312 citations) and Organic Chemistry (471 citations). Dan Simpson has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Marjeta Urh, Lance P. Encell, Keith V. Wood, Rachel Friedman Ohana, Natasha Karassina, Aldis Darzins, Paul Otto, Ji Zhu, Kris Zimmerman and Gediminas Vidugiris. Their work appears in journals such as Protein Expression and Purification, Statistics and Computing, Applied and Environmental Microbiology, American Journal of Tropical Medicine and Hygiene and Bayesian Analysis.
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.