G. J. Todaro

12 total papers · 1.1k total citations
10 papers, 959 citations indexed

About

G. J. Todaro is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, G. J. Todaro has authored 10 papers receiving a total of 959 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Epidemiology and 2 papers in Physiology. Recurrent topics in G. J. Todaro's work include Telomeres, Telomerase, and Senescence (2 papers), Virus-based gene therapy research (2 papers) and Plant-based Medicinal Research (1 paper). G. J. Todaro is often cited by papers focused on Telomeres, Telomerase, and Senescence (2 papers), Virus-based gene therapy research (2 papers) and Plant-based Medicinal Research (1 paper). G. J. Todaro collaborates with scholars based in United States. G. J. Todaro's co-authors include Joseph E. De Larco, Robert Fabricant, RobertW. Miller, H. Green, Thomas C. Warren, M. Shoyab, H Green, A K Robbins, Sherman Bloom and FrederickP. Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Lancet and Journal of Biological Chemistry.

In The Last Decade

G. J. Todaro

10 papers receiving 852 citations

Hit Papers

Nerve growth factor recep... 1977 2026 1993 2009 1977 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
G. J. Todaro 567 218 164 125 114 10 959
Marc Schulte 452 0.8× 236 1.1× 58 0.4× 108 0.9× 49 0.4× 14 815
Stephen Gschmeissner 925 1.6× 123 0.6× 82 0.5× 71 0.6× 124 1.1× 9 1.2k
Alexei L. Krasnoselsky 590 1.0× 153 0.7× 146 0.9× 86 0.7× 76 0.7× 15 1.0k
Susan M. Carroll 668 1.2× 111 0.5× 115 0.7× 115 0.9× 136 1.2× 19 1.2k
Aharon Aharonov 531 0.9× 240 1.1× 232 1.4× 74 0.6× 75 0.7× 21 1.1k
Jay S. Lillquist 496 0.9× 159 0.7× 106 0.6× 31 0.2× 132 1.2× 23 855
Ann Mangelsdorf Soderquist 663 1.2× 274 1.3× 188 1.1× 32 0.3× 96 0.8× 13 932
Moshe Balass 901 1.6× 434 2.0× 177 1.1× 50 0.4× 132 1.2× 17 1.1k
K Toyoshima 512 0.9× 283 1.3× 189 1.2× 63 0.5× 136 1.2× 13 1.0k
Harvey Herschman 393 0.7× 204 0.9× 153 0.9× 31 0.2× 59 0.5× 21 931

Countries citing papers authored by G. J. Todaro

Since Specialization
Citations

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

Fields of papers citing papers by G. J. Todaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. J. Todaro. 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 G. J. Todaro. The network helps show where G. J. Todaro may publish in the future.

Co-authorship network of co-authors of G. J. Todaro

This figure shows the co-authorship network connecting the top 25 collaborators of G. J. Todaro. A scholar is included among the top collaborators of G. J. Todaro 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 G. J. Todaro. G. J. Todaro 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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