David M. Rubitski

11 total papers · 627 total citations
7 papers, 157 citations indexed

About

David M. Rubitski is a scholar working on Genetics, Molecular Biology and Pharmacology. According to data from OpenAlex, David M. Rubitski has authored 7 papers receiving a total of 157 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 3 papers in Molecular Biology and 2 papers in Pharmacology. Recurrent topics in David M. Rubitski's work include Virus-based gene therapy research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). David M. Rubitski is often cited by papers focused on Virus-based gene therapy research (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Cholinesterase and Neurodegenerative Diseases (2 papers). David M. Rubitski collaborates with scholars based in United States. David M. Rubitski's co-authors include Katherine Fisher, Aarti Sawant‐Basak, David E. Johnson, Laura McDowell, Elaine Tseng, Michelle Vanase‐Frawley, K J Stutzman-Engwall, Sarah Grimwood, Li Xu and Nicholas J. Brandon and has published in prestigious journals such as Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics and Toxicology and Applied Pharmacology.

In The Last Decade

David M. Rubitski

7 papers receiving 154 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 M. Rubitski 73 43 37 27 23 7 157
Chiara Contri 81 1.1× 27 0.6× 52 1.4× 33 1.2× 11 0.5× 10 233
Frank M. Nedza 100 1.4× 33 0.8× 19 0.5× 23 0.9× 29 1.3× 5 229
Aslihan Ugun‐Klusek 119 1.6× 47 1.1× 25 0.7× 28 1.0× 9 0.4× 10 247
Kelli Jones 99 1.4× 46 1.1× 24 0.6× 11 0.4× 26 1.1× 9 160
Doo Soon Im 103 1.4× 26 0.6× 25 0.7× 57 2.1× 13 0.6× 12 226
Cindy E. Nuss 77 1.1× 52 1.2× 43 1.2× 37 1.4× 5 0.2× 6 182
Wataru Tanabe 34 0.5× 66 1.5× 90 2.4× 10 0.4× 17 0.7× 9 254
Claudia Albrecht 145 2.0× 63 1.5× 50 1.4× 43 1.6× 5 0.2× 10 263
Emily Miller 89 1.2× 91 2.1× 34 0.9× 32 1.2× 14 0.6× 13 242
Emily L. Ricq 146 2.0× 26 0.6× 9 0.2× 14 0.5× 9 0.4× 7 218

Countries citing papers authored by David M. Rubitski

Since Specialization
Citations

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

Fields of papers citing papers by David M. Rubitski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David M. Rubitski

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Rubitski. A scholar is included among the top collaborators of David M. Rubitski 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 M. Rubitski. David M. Rubitski 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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