Dan Simpson

3.3k total citations · 1 hit paper
18 papers, 2.2k citations indexed

About

Dan Simpson is a scholar working on Molecular Biology, Automotive Engineering and Pharmacology. According to data from OpenAlex, Dan Simpson has authored 18 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Automotive Engineering and 2 papers in Pharmacology. Recurrent topics in Dan Simpson's work include Statistical Methods and Bayesian Inference (2 papers), Virus-based gene therapy research (2 papers) and Electric and Hybrid Vehicle Technologies (2 papers). Dan Simpson is often cited by papers focused on Statistical Methods and Bayesian Inference (2 papers), Virus-based gene therapy research (2 papers) and Electric and Hybrid Vehicle Technologies (2 papers). Dan Simpson collaborates with scholars based in United States, Australia and United Kingdom. Dan Simpson's co-authors include Marjeta Urh, Rachel Friedman Ohana, Keith V. Wood, Lance P. Encell, Natasha Karassina, Monika G. Wood, Paul Otto, Ji Zhu, Jacqui Méndez and Mark G. McDougall and has published in prestigious journals such as Applied and Environmental Microbiology, Methods in enzymology on CD-ROM/Methods in enzymology and American Journal of Tropical Medicine and Hygiene.

In The Last Decade

Dan Simpson

16 papers receiving 2.2k citations

Hit Papers

HaloTag: A Novel Protein Labeling Technology for Cell Ima... 2008 2026 2014 2020 2008 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Simpson United States 8 1.6k 471 453 320 312 18 2.2k
Rachel Friedman Ohana United States 10 1.8k 1.1× 551 1.2× 478 1.1× 340 1.1× 340 1.1× 21 2.4k
Thomas Gronemeyer Germany 17 2.0k 1.3× 581 1.2× 516 1.1× 394 1.2× 511 1.6× 32 2.6k
Kris Zimmerman United States 12 2.7k 1.8× 564 1.2× 539 1.2× 414 1.3× 465 1.5× 15 3.6k
Marjeta Urh United States 24 3.0k 2.0× 615 1.3× 480 1.1× 488 1.5× 379 1.2× 51 3.8k
Aldis Darzins United States 21 2.6k 1.7× 507 1.1× 445 1.0× 273 0.9× 326 1.0× 31 3.5k
Stéphanie Cabantous France 22 2.9k 1.9× 222 0.5× 530 1.2× 402 1.3× 433 1.4× 44 3.8k
J.D. Pédelacq France 19 2.3k 1.5× 174 0.4× 338 0.7× 285 0.9× 261 0.8× 35 3.0k
Nils Johnsson Germany 30 3.2k 2.1× 364 0.8× 202 0.4× 332 1.0× 1.0k 3.2× 68 3.8k
Timothy H. Tran United States 18 2.2k 1.4× 145 0.3× 319 0.7× 243 0.8× 340 1.1× 34 3.0k
Paul Otto United States 9 3.4k 2.2× 553 1.2× 671 1.5× 433 1.4× 507 1.6× 17 4.4k

Countries citing papers authored by Dan Simpson

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Dan Simpson

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

All Works

18 of 18 papers shown
1.
Cooper, Alex, Aki Vehtari, Catherine Forbes, Dan Simpson, & Lauren R. Kennedy-Metz. (2024). Bayesian cross-validation by parallel Markov chain Monte Carlo. Statistics and Computing. 34(4). 2 indexed citations
2.
Cooper, Alex, Dan Simpson, Lauren R. Kennedy-Metz, Catherine Forbes, & Aki Vehtari. (2024). Cross-Validatory Model Selection for Bayesian Autoregressions with Exogenous Regressors. Bayesian Analysis. 20(2). 2 indexed citations
3.
Pickard, Adam, et al.. (2023). UK-wide major trauma center tertiary trauma survey pro forma review and aggregation and consolidation into a redesigned document. Trauma Surgery & Acute Care Open. 8(1). e000903–e000903.
4.
Hulland, Erin, Erica Felker-Kantor, Dan Simpson, et al.. (2019). Alternative Water Transport and Storage Containers: Assessing Sustained Use of the PackH2O in Rural Haiti. American Journal of Tropical Medicine and Hygiene. 100(4). 981–987. 5 indexed citations
5.
Ohana, Rachel Friedman, Lance P. Encell, Kate Zhao, et al.. (2009). HaloTag7: A genetically engineered tag that enhances bacterial expression of soluble proteins and improves protein purification. Protein Expression and Purification. 68(1). 110–120. 126 indexed citations
6.
Urh, Marjeta, Dan Simpson, & Kate Zhao. (2009). Chapter 26 Affinity Chromatography. Methods in enzymology on CD-ROM/Methods in enzymology. 463. 417–438. 89 indexed citations
7.
Simpson, Dan, et al.. (2008). Inductive Charging of Ultracapacitor Electric Bus. World Electric Vehicle Journal. 2(1). 29–37. 3 indexed citations
8.
Los, Georgyi V., Lance P. Encell, Mark G. McDougall, et al.. (2008). HaloTag: A Novel Protein Labeling Technology for Cell Imaging and Protein Analysis. ACS Chemical Biology. 3(6). 373–382. 1810 indexed citations breakdown →
9.
Griffith, Paul C., et al.. (2008). Inductive Charging of Ultracapacitor Electric Bus. World Electric Vehicle Journal. 2(1). 29–37. 1 indexed citations
10.
He, Aimin, Dan Simpson, Lacy Daniels, & John P. N. Rosazza. (2004). Cloning, expression, purification, and characterization of Nocardia sp. GTP cyclohydrolase I. Protein Expression and Purification. 35(2). 171–180. 8 indexed citations
11.
Pressler, Barrak M., Shelly L. Vaden, Wayne A. Jensen, & Dan Simpson. (2002). Detection of Canine Microalbuminuria Using Semiquantitative Test Strips Designed for Use with Human Urine. Veterinary Clinical Pathology. 31(2). 56–60. 22 indexed citations
12.
Simpson, Dan, et al.. (2002). Large-Scale Production of Coenzyme F 420 -5,6 by Using Mycobacterium smegmatis. Applied and Environmental Microbiology. 68(11). 5750–5755. 58 indexed citations
13.
Lappin, Michael R., Janet I. Andrews, Dan Simpson, & Wayne A. Jensen. (2002). Use of serologic tests to predict resistance to feline herpesvirus 1, feline calicivirus, and feline parvovirus infection in cats. Journal of the American Veterinary Medical Association. 220(1). 38–42. 91 indexed citations
14.
O’Grady, Michael J., et al.. (2002). COELENTERAZINE DERIVATIVES FOR IMPROVED SOLUTION SOLUBILITY. 149–152. 4 indexed citations
15.
Karassina, Natasha, et al.. (2001). Peptide Phage Display Library as Source for Inhibitors of Clostridial Neurotoxins. Journal of Protein Chemistry. 20(1). 73–80. 10 indexed citations
16.
Moore, Frances M. & Dan Simpson. (1993). Variation in results of cost-effective EMIT assays on the Cobas-Bio analyser.. PubMed. 50(1). 57–9. 1 indexed citations
17.
Moncrieff, Joan & Dan Simpson. (1989). Determination of metoprolol and its α-hydroxy metabolite in urine by direct-injection reversed-phase high-performance liquid chromatography with fluorimetric detection. Journal of Chromatography B Biomedical Sciences and Applications. 488(2). 498–502. 2 indexed citations
18.
Simpson, Dan, et al.. (1989). Detection of opiates in urine: a cost-effective low risk immunoassay procedure.. PubMed. 46(4). 309–12. 3 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026