David M. Rubitski

634 citations
7 papers · 158 indexed · h-index 5
Topics
Virus-based gene therapy research (3 papers)Viral Infectious Diseases and Gene Expression in Insects (2 papers)Cholinesterase and Neurodegenerative Diseases (2 papers)
Partner nations
United States

In The Last Decade

David M. Rubitski

7 papers receiving 155 citations

Peers

David M. Rubitski
Comparison fields: 5 of 61
  • Molecular Biology 74
  • Cellular and Molecular Neuroscience 44
  • Pharmacology 37
  • Physiology 27
  • Oncology 23
Replace Vaishnavi Jadhav with:
Vaishnavi Jadhav United States
Alex C. H. Wong Australia
Emily Miller United States
Kelli Jones United States
Iboro C. Umana United States
Jennifer K. Truong United States
Mahsa Sadeghi Australia
Ken Yoshikawa Japan
Calvin Wong Canada
Ma. Reina Improgo United States
David M. Rubitski relative to Vaishnavi Jadhav United States Vaishnavi Jadhav's profile →
Citations per field
00.5×2.8×
Vaishnavi Jadhav · 1×
Citations per year

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

7 of 7 papers shown
#WorkIndexed citations
1 2
2 1
3 14
4 29
5 29
6 47
7 36

About David M. Rubitski

David M. Rubitski is a scholar working on Genetics, Pharmacology and Cellular and Molecular Neuroscience, having authored 7 papers that have together received 158 indexed citations. Recurring topics across this 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). The work is most often cited by research in Cellular and Molecular Neuroscience (44 citations), Biological Psychiatry (6 citations) and Pharmacology (37 citations). David M. Rubitski has collaborated with scholars based in United States. Frequent co-authors include Katherine Fisher, Aarti Sawant‐Basak, Laura McDowell, David E. Johnson, Elaine Tseng, K J Stutzman-Engwall, Sarah Grimwood, Michelle Vanase‐Frawley, Matthew M. Hayward and Mihály Hajós. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Pharmacology and Experimental Therapeutics and Toxicology and Applied Pharmacology.

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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