Todd M. Kinsella

1.4k citations
12 papers · 990 indexed · 1 hit paper · h-index 7
Topics
Ubiquitin and proteasome pathways (2 papers)Genetics and Neurodevelopmental Disorders (2 papers)Intensive Care Unit Cognitive Disorders (2 papers)

In The Last Decade

Todd M. Kinsella

12 papers receiving 971 citations

Hit Papers

Episomal Vectors Rapidly and Stably Produce High-Titer Re...19962026200620161996200400600

Peers

Todd M. Kinsella
Comparison fields: 5 of 77
  • Molecular Biology 593
  • Immunology 238
  • Oncology 235
  • Genetics 141
  • Epidemiology 88
Replace Céline Dumont with:
Céline Dumont France
Hisako Sakiyama Japan
Andrew J. Kueh Australia
H. Mann Germany
Wei Jia United States
David S. Garlick United States
Tracy Sawchuk Canada
Elio Liboi Italy
Éric Milot Canada
Nathalie Beaufort Germany
Todd M. Kinsella relative to Céline Dumont France Céline Dumont's profile →
Citations per field
00.5×2.9×
Céline Dumont · 1×
Citations per year

Countries citing papers authored by Todd M. Kinsella

Since Specialization
Citations

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

Fields of papers citing papers by Todd M. Kinsella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Todd M. Kinsella

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 1
2 119
3 1
4 9
5 9
6 29
7 41
8 3
9 6
10 78
11
Episomal Vectors Rapidly and Stably Produce High-Titer Recombinant Retrovirusbreakdown →
688
12
In vivo incorporation of bromodeoxyuridine into proliferating cells in the marrow and its effects on granulocyte-macrophage progenitor cells.
6

About Todd M. Kinsella

Todd M. Kinsella is a scholar working on Critical Care and Intensive Care Medicine, Hepatology and Molecular Biology, having authored 12 papers that have together received 990 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (2 papers), Genetics and Neurodevelopmental Disorders (2 papers) and Intensive Care Unit Cognitive Disorders (2 papers). The work is most often cited by research in Immunology (238 citations), Immunology and Allergy (53 citations) and Molecular Biology (593 citations). Todd M. Kinsella has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Garry P. Nolan, Donald G. Payan, Kristen A. Baltgalvis, Esteban S. Masuda, Susan M. Molineaux, Mark K. Bennett, George Yam, Beau R. Peelle, Erlina S. Pali and Deborah Anderson. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and PLoS ONE.

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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