Daniel G. Todd
Impact in
- Oncology top 10%
- HER2/EGFR in Cancer Research
- Cancer-related Molecular Pathways
- Otorhinolaryngology top 10%
Papers in
-
- Ion channel regulation and function 2
- Protein Kinase Regulation and GTPase Signaling 2
-
- Neuroscience and Neural Engineering 1
- Co-authors
- Ross B. Mikkelsen (4 shared papers)Kristoffer Valerie (3 shared papers)Rupert Schmidt‐Ullrich (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
- Oncogene (1 paper)Addictive Behaviors (1 paper)Canadian Journal of Physiology and Pharmacology (1 paper)FEBS Letters (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
Daniel G. Todd
9 papers receiving 614 citations
Peers
Comparison fields: 5 of 69
- Oncology 214
- Otorhinolaryngology 29
- Cancer Research 87
- Developmental Neuroscience 20
- Radiology, Nuclear Medicine and Imaging 105
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 | 356 | |
| 2 | 2014 | 72 | |
| 3 | The inducible expression of dominant-negative epidermal growth factor receptor-CD533 results in radiosensitization of human mammary carcinoma cells. | 1999 | 69 |
| 4 | Ionizing radiation induces a transient increase in cytosolic free [Ca2+] in human epithelial tumor cells. | 1994 | 53 |
| 5 | 1999 | 34 | |
| 6 | 2017 | 33 | |
| 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 Neurology, having authored 9 papers that have together received 636 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), Advanced Proteomics Techniques and Applications (1 paper), Muscle metabolism and nutrition (1 paper), Cardiac electrophysiology and arrhythmias (1 paper), Neuroscience and Neural Engineering (1 paper) and Behavioral Health and Interventions (1 paper). The work is most often cited by research in Oncology (214 citations), Otorhinolaryngology (29 citations), Cancer Research (87 citations), Developmental Neuroscience (20 citations) and Radiology, Nuclear Medicine and Imaging (105 citations). Daniel G. Todd has collaborated with scholars based in United States and Australia. Frequent co-authors include Ross B. Mikkelsen, Kristoffer Valerie, Rupert Schmidt‐Ullrich, Paul Dent, Joseph N. Contessa, Brian D. Kavanagh, Matthew Browne, Dean B. Reardon, Geoffrey Bowers and Ignacio Muñoz-Sanjuán. Their work appears in journals such as Oncogene, Addictive Behaviors, Canadian Journal of Physiology and Pharmacology, FEBS Letters 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.