Daniel G. Todd

758 total citations
9 papers, 613 citations indexed

About

Daniel G. Todd is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Daniel G. Todd has authored 9 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Oncology. Recurrent topics in Daniel G. Todd's work include Protein Kinase Regulation and GTPase Signaling (2 papers), Ion channel regulation and function (2 papers) and HER2/EGFR in Cancer Research (2 papers). Daniel G. Todd is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (2 papers), Ion channel regulation and function (2 papers) and HER2/EGFR in Cancer Research (2 papers). Daniel G. Todd collaborates with scholars based in United States and Australia. Daniel G. Todd's co-authors include Ross B. Mikkelsen, Kristoffer Valerie, Rupert Schmidt‐Ullrich, Paul Dent, Joseph N. Contessa, Brian D. Kavanagh, Matthew Browne, Geoffrey Bowers, Dean B. Reardon and Ignacio Muñoz-Sanjuán and has published in prestigious journals such as PLoS ONE, Oncogene and FEBS Letters.

In The Last Decade

Daniel G. Todd

9 papers receiving 598 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel G. Todd United States	8	291	257	193	117	104	9	613
Adam J. Kole United States	9	348 1.2×	268 1.0×	269 1.4×	124 1.1×	425 4.1×	26	907
Baiyao Wang China	18	429 1.5×	199 0.8×	182 0.9×	40 0.3×	250 2.4×	34	749
Xin Mei China	13	257 0.9×	153 0.6×	99 0.5×	73 0.6×	234 2.3×	37	615
Xing-Wu Wang China	13	362 1.2×	131 0.5×	108 0.6×	37 0.3×	273 2.6×	35	590
César Torres Brazil	10	313 1.1×	156 0.6×	212 1.1×	56 0.5×	233 2.2×	19	637
Marc Ingenwerth Germany	18	206 0.7×	110 0.4×	129 0.7×	248 2.1×	114 1.1×	36	652
Jennifer Green United States	12	256 0.9×	355 1.4×	100 0.5×	121 1.0×	40 0.4×	36	818
Jessica M. Molkentine United States	14	407 1.4×	270 1.1×	165 0.9×	61 0.5×	141 1.4×	27	714
Masato Shino Japan	16	257 0.9×	212 0.8×	143 0.7×	25 0.2×	115 1.1×	42	664
Hiroko Seino Japan	14	207 0.7×	149 0.6×	105 0.5×	46 0.4×	135 1.3×	37	511

Countries citing papers authored by Daniel G. Todd

Since Specialization

Citations

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

Fields of papers citing papers by Daniel G. Todd

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel G. Todd

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

All Works

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9 of 9 papers shown

Browne, Matthew & Daniel G. Todd. (2017). Then and now: Consumption and dependence in e-cigarette users who formerly smoked cigarettes. Addictive Behaviors. 76. 113–121. 32 indexed citations

Todd, Daniel G., Simon DOWLER, Michael D. Wall, et al.. (2014). A Monoclonal Antibody TrkB Receptor Agonist as a Potential Therapeutic for Huntington’s Disease. PLoS ONE. 9(2). e87923–e87923. 70 indexed citations

Todd, Daniel G., et al.. (1999). Ionizing Radiation Stimulates Existing Signal Transduction Pathways Involving the Activation of Epidermal Growth Factor Receptor and Erbb-3, and Changes of Intracellular Calcium in A431 Human Squamous Carcinoma Cells. Journal of Receptors and Signal Transduction. 19(6). 885–908. 32 indexed citations

Contessa, Joseph N., Dean B. Reardon, Daniel G. Todd, et al.. (1999). The inducible expression of dominant-negative epidermal growth factor receptor-CD533 results in radiosensitization of human mammary carcinoma cells.. PubMed. 5(2). 405–11. 66 indexed citations

McCumbee, William D., et al.. (1998). Increased Expression of Complement Component C3 in the Plasma of Obese Zucker fa and LA/N fe^f Rats Compared with Their Lean Counterparts. Obesity Research. 6(5). 361–367. 9 indexed citations

Schmidt‐Ullrich, Rupert, Ross B. Mikkelsen, Paul Dent, et al.. (1997). Radiation-induced proliferation of the human A431 squamous carcinoma cells is dependent on EGFR tyrosine phosphorylation. Oncogene. 15(10). 1191–1197. 343 indexed citations

Todd, Daniel G. & Ross B. Mikkelsen. (1994). Ionizing radiation induces a transient increase in cytosolic free [Ca2+] in human epithelial tumor cells.. PubMed. 54(19). 5224–30. 51 indexed citations

Simmons, Mark A., et al.. (1989). An endogenous ‘hypertensive factor’ enhances the voltage‐dependent calcium current. FEBS Letters. 254(1-2). 137–140. 7 indexed citations

Todd, Daniel G., et al.. (1989). Hypotensive properties of antibodies directed against an endogenous pressor peptide isolated from rat blood. Canadian Journal of Physiology and Pharmacology. 67(12). 1580–1585. 3 indexed citations

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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