Daniel G. Todd
Impact in
- Oncology top 10%
- HER2/EGFR in Cancer Research
- Cancer-related Molecular Pathways
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- Cancer, Hypoxia, and Metabolism
Papers in
-
- Ion channel regulation and function 2
- Protein Kinase Regulation and GTPase Signaling 2
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- Neuroscience and Neural Engineering 1
- Nerve injury and regeneration 1
- Co-authors
- Ross B. Mikkelsen (4 shared papers)Rupert Schmidt‐Ullrich (3 shared papers)Kristoffer Valerie (3 shared papers)Paul Dent (2 shared papers)Joseph N. Contessa (2 shared papers)Brian D. Kavanagh (1 shared paper)Matthew Browne (1 shared paper)Dean B. Reardon (1 shared paper)
- Journals
- FEBS Letters (1 paper)Canadian Journal of Physiology and Pharmacology (1 paper)Oncogene (1 paper)PLoS ONE (1 paper)Addictive Behaviors (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
Daniel G. Todd
9 papers receiving 598 citations
Peers
Comparison fields: 5 of 77
- Oncology 257
- Cancer Research 104
- Otorhinolaryngology 29
- Pulmonary and Respiratory Medicine 193
- Developmental Neuroscience 21
Countries citing papers authored by Daniel G. Todd
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
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-authors
The 25 scholars most cited alongside Daniel G. Todd, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1997 | 343 | |
| 2 | 2014 | 70 | |
| 3 | The inducible expression of dominant-negative epidermal growth factor receptor-CD533 results in radiosensitization of human mammary carcinoma cells. | 1999 | 66 |
| 4 | Ionizing radiation induces a transient increase in cytosolic free [Ca2+] in human epithelial tumor cells. | 1994 | 51 |
| 5 | 1999 | 32 | |
| 6 | 2017 | 32 | |
| 7 | 1998 | 9 | |
| 8 | 1989 | 7 | |
| 9 | 1989 | 3 |
About Daniel G. Todd
Daniel G. Todd is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Physiology and Genetics, having authored 9 papers that have together received 613 indexed citations. Recurring topics across this work include Ion channel regulation and function (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), HER2/EGFR in Cancer Research (2 papers), Cardiac electrophysiology and arrhythmias (1 paper), Smoking Behavior and Cessation (1 paper), Neuroscience and Neural Engineering (1 paper), Nerve injury and regeneration (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Oncology (257 citations), Cancer Research (104 citations), Otorhinolaryngology (29 citations), Pulmonary and Respiratory Medicine (193 citations) and Developmental Neuroscience (21 citations). Daniel G. Todd has collaborated with scholars based in United States and Australia. Frequent co-authors include Ross B. Mikkelsen, Rupert Schmidt‐Ullrich, Kristoffer Valerie, Paul Dent, Joseph N. Contessa, Brian D. Kavanagh, Matthew Browne, Dean B. Reardon, Geoffrey Bowers and John Wityak. Their work appears in journals such as FEBS Letters, Canadian Journal of Physiology and Pharmacology, Oncogene, PLoS ONE and Addictive Behaviors.
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.