David Gangitano

53 total papers · 917 total citations
47 papers, 667 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 667 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, Nilson A. Salas, Alvaro Muñoz, Yanfen Teng and Joseph Francis 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 652 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David Gangitano 298 179 143 89 84 47 667
Francisco Castelán 213 0.7× 39 0.2× 120 0.8× 112 1.3× 49 0.6× 70 729
Osamu Fujimori 301 1.0× 58 0.3× 19 0.1× 91 1.0× 57 0.7× 61 657
S. Sindhu Kumari 551 1.8× 59 0.3× 82 0.6× 79 0.9× 34 0.4× 34 745
Silvia I. González-Calvar 164 0.6× 135 0.8× 16 0.1× 58 0.7× 42 0.5× 29 705
E Kivalo 137 0.5× 64 0.4× 17 0.1× 113 1.3× 30 0.4× 68 613
J. Kempf 350 1.2× 88 0.5× 31 0.2× 145 1.6× 42 0.5× 59 567
B. O. Oke 188 0.6× 82 0.5× 50 0.3× 117 1.3× 9 0.1× 69 690
María Eugenia Matzkin 160 0.5× 110 0.6× 18 0.1× 29 0.3× 42 0.5× 31 771
A Cecio 91 0.3× 18 0.1× 40 0.3× 140 1.6× 177 2.1× 36 573
Nobuhiro Sugiyama 156 0.5× 159 0.9× 64 0.4× 81 0.9× 23 0.3× 33 670

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

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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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