David Gangitano

919 total citations
47 papers, 675 citations indexed

About

David Gangitano is a scholar working on Molecular Biology, Genetics and Pharmacology. According to data from OpenAlex, David Gangitano has authored 47 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 20 papers in Genetics and 9 papers in Pharmacology. Recurrent topics in David Gangitano's work include Forensic and Genetic Research (15 papers), Molecular Biology Techniques and Applications (13 papers) and Cannabis and Cannabinoid Research (7 papers). David Gangitano is often cited by papers focused on Forensic and Genetic Research (15 papers), Molecular Biology Techniques and Applications (13 papers) and Cannabis and Cannabinoid Research (7 papers). David Gangitano collaborates with scholars based in United States, Argentina and Spain. David Gangitano's co-authors include Sheree Hughes‐Stamm, Mariella De Biasi, Ramiro Salas, Timothy B. Boone, George T. Somogyi, Christopher P. Smith, Alvaro Muñoz, Nilson A. Salas, Joseph Francis and K. Roger Aoki and has published in prestigious journals such as The Journal of Urology, Molecular Pharmacology and Neuropharmacology.

In The Last Decade

David Gangitano

46 papers receiving 660 citations

Peers

David Gangitano

GENET

UROLO

CMN

PHARM

Marcelo Martinez Brazil

E Kivalo Finland

Fraser Aird United States

Zuleika P. Picarelli Brazil

Nicolas Valenzuela United States

Noriyoshi Usui Japan

Irina Pollard Australia

Oscar González‐Flores Mexico

Lanfranco Ranieri Paolo Troncone Brazil

R G Foster United Kingdom

Marcelo Martinez Brazil

David Gangitano

176 ×0.6

97 ×0.5

GENET

26 ×0.2

UROLO

33 ×0.4

CMN

9 ×0.1

PHARM

Citations per year, relative to David Gangitano David Gangitano (= 1×) peers Marcelo Martinez

Countries citing papers authored by David Gangitano

Since Specialization

Citations

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

Fields of papers citing papers by David Gangitano

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Gangitano

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Pieri, Maria, et al.. (2024). Leveraging genetics to support forensic toxicology analysis: Demonstrating concordance among marijuana samples. Journal of Applied Research on Medicinal and Aromatic Plants. 43. 100598–100598.

Gangitano, David, et al.. (2023). Characterization and evaluation of nine Cannabis sativa chloroplast SNP markers for crop type determination and biogeographical origin on European samples. Forensic Science International Genetics. 68. 102971–102971. 2 indexed citations

Encina‐Montoya, Francisco, et al.. (2021). Cannabis Seeds Authentication by Chloroplast and Nuclear DNA Analysis Coupled with High-Resolution Melting Method for Quality Control Purposes. Cannabis and Cannabinoid Research. 7(4). 548–556. 4 indexed citations

Gangitano, David, et al.. (2020). Use of Eucalyptus DNA profiling in a case of illegal logging. Science & Justice. 60(6). 487–494. 3 indexed citations

Gangitano, David, et al.. (2020). ITS barcoding using high resolution melting analysis of Cannabis sativa drug seizures in Chile: A forensic application. Forensic Science International. 316. 110550–110550. 6 indexed citations

Gangitano, David, et al.. (2019). Characterization of new chloroplast markers to determine biogeographical origin and crop type of Cannabis sativa. International Journal of Legal Medicine. 133(6). 1721–1732. 14 indexed citations

Zeng, Xiangpei, Maiko Takahashi, Jonathan L. King, et al.. (2018). Assessment of impact of DNA extraction methods on analysis of human remain samples on massively parallel sequencing success. International Journal of Legal Medicine. 133(1). 51–58. 16 indexed citations

Gangitano, David, et al.. (2018). The effects of extra PCR cycles when amplifying skeletal samples with the GlobalFiler® PCR Amplification Kit. International Journal of Legal Medicine. 133(3). 745–750. 4 indexed citations

Lizama, Cristián, et al.. (2018). Psychedelic fungus (Psilocybe sp.) authentication in a case of illegal drug traffic: sporological, molecular analysis and identification of the psychoactive substance. Science & Justice. 59(1). 102–108. 15 indexed citations

10.

Wells, Jessica, Todd A. Armstrong, Danielle Boisvert, et al.. (2017). STRESS, GENES, AND GENERALIZABILITY ACROSS GENDER: EFFECTS OF MAOA AND STRESS SENSITIVITY ON CRIME AND DELINQUENCY*. Criminology. 55(3). 548–574. 8 indexed citations

11.

Hughes‐Stamm, Sheree, et al.. (2017). Developmental and internal validation of a novel 13 loci STR multiplex method for Cannabis sativa DNA profiling. Legal Medicine. 26. 33–40. 22 indexed citations

12.

Gangitano, David, et al.. (2017). Evaluation of four commercial quantitative real-time PCR kits with inhibited and degraded samples. International Journal of Legal Medicine. 132(3). 691–701. 31 indexed citations

13.

LaRue, Bobby, et al.. (2017). Analysis of DNA from post-blast pipe bomb fragments for identification and determination of ancestry. Forensic Science International Genetics. 28. 195–202. 21 indexed citations

14.

Gangitano, David, et al.. (2016). Preservation and rapid purification of DNA from decomposing human tissue samples. Forensic Science International Genetics. 25. 182–190. 19 indexed citations

15.

Wheeler, Aaron R., et al.. (2016). Comparison of DNA yield and STR success rates from different tissues in embalmed bodies. International Journal of Legal Medicine. 131(1). 61–66. 13 indexed citations

16.

Randle, Christopher P., et al.. (2015). Identification and persistence of Pinus pollen DNA on cotton fabrics: A forensic application. Science & Justice. 56(1). 29–34. 16 indexed citations

17.

Hughes‐Stamm, Sheree, et al.. (2014). Development and evaluation of a rapid PCR method for the PowerPlex®S5 system for forensic DNA profiling. Legal Medicine. 16(4). 227–233. 5 indexed citations

18.

Salas, Ramiro, David Gangitano, Gabriel Zimmerman, et al.. (2008). Nicotine Relieves Anxiogenic-Like Behavior in Mice that Overexpress the Read-Through Variant of Acetylcholinesterase but Not in Wild-Type Mice. Molecular Pharmacology. 74(6). 1641–1648. 19 indexed citations

19.

Salas, Ramiro, et al.. (2007). Decreased withdrawal symptoms but normal tolerance to nicotine in mice null for the α7 nicotinic acetylcholine receptor subunit. Neuropharmacology. 53(7). 863–869. 60 indexed citations

20.

Salas, Nilson A., George T. Somogyi, David Gangitano, Timothy B. Boone, & Christopher P. Smith. (2006). Receptor activated bladder and spinal ATP release in neurally intact and chronic spinal cord injured rats. Neurochemistry International. 50(2). 345–350. 35 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