Daniel R. Carter
Impact in
- Neurology top 5%
- Neuroblastoma Research and Treatments
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Ubiquitin and proteasome pathways 4
- Protein Degradation and Inhibitors 4
- Signaling Pathways in Disease 4
- FOXO transcription factor regulation 2
- Cancer-related gene regulation 2
- Neurology 18
- Neuroblastoma Research and Treatments 18
- Co-authors
- Glenn M. Marshall (20 shared papers)Belamy B. Cheung (22 shared papers)Tao Liu (8 shared papers)Justin Meyerowitz (1 shared paper)Marion K. Mateos (1 shared paper)William A. Weiss (1 shared paper)Katleen De Preter (9 shared papers)Tanya Clement (1 shared paper)
- Journals
- Oncotarget (3 papers)PLoS ONE (2 papers)Molecular Oncology (2 papers)Cancer Letters (1 paper)Gut Pathogens (1 paper)
- Partner nations
- AustraliaUnited StatesBelgium
In The Last Decade
Daniel R. Carter
36 papers receiving 922 citations
Peers
Comparison fields: 5 of 115
- Neurology 268
- Cancer Research 181
- Molecular Biology 447
- Periodontics 23
- Oncology 117
Countries citing papers authored by Daniel R. Carter
This map shows the geographic impact of Daniel R. Carter'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 R. Carter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel R. Carter more than expected).
Fields of papers citing papers by Daniel R. Carter
This network shows the impact of papers produced by Daniel R. Carter. 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 R. Carter. The network helps show where Daniel R. Carter may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel R. Carter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 189 | |
| 2 | 1986 | 98 | |
| 3 | 2018 | 59 | |
| 4 | 2021 | 54 | |
| 5 | 2018 | 50 | |
| 6 | 2020 | 37 | |
| 7 | 2015 | 36 | |
| 8 | 2014 | 35 | |
| 9 | 2014 | 30 | |
| 10 | 2003 | 29 | |
| 11 | 2020 | 28 | |
| 12 | 2013 | 28 | |
| 13 | 2017 | 26 | |
| 14 | 1988 | 23 | |
| 15 | 2022 | 23 | |
| 16 | 2021 | 22 | |
| 17 | 2016 | 22 | |
| 18 | 2014 | 16 | |
| 19 | 2013 | 16 | |
| 20 | 2015 | 15 |
About Daniel R. Carter
Daniel R. Carter is a scholar working on Molecular Biology, Neurology, Immunology, Cancer Research and Surgery, having authored 40 papers that have together received 938 indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (18 papers), interferon and immune responses (5 papers), Ubiquitin and proteasome pathways (4 papers), Protein Degradation and Inhibitors (4 papers), Signaling Pathways in Disease (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), FOXO transcription factor regulation (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Neurology (268 citations), Cancer Research (181 citations), Molecular Biology (447 citations), Periodontics (23 citations) and Oncology (117 citations). Daniel R. Carter has collaborated with scholars based in Australia, United States and Belgium. Frequent co-authors include Glenn M. Marshall, Belamy B. Cheung, Tao Liu, Justin Meyerowitz, Marion K. Mateos, William A. Weiss, Katleen De Preter, Tanya Clement, Frank Speleman and Owen Tan. Their work appears in journals such as Oncotarget, PLoS ONE, Molecular Oncology, Cancer Letters and Gut Pathogens.
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.