Arnell Carter
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
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- Wnt/β-catenin signaling in development and cancer
- Cancer-related gene regulation
- Epigenetics and DNA Methylation
- Mitochondrial Function and Pathology
- Melanoma and MAPK Pathways
Papers in
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- T-cell and B-cell Immunology 4
- Immunotherapy and Immune Responses 3
- Immune cells in cancer 2
- Immune Cell Function and Interaction 2
- Aging 2
- Genetics, Aging, and Longevity in Model Organisms 2
- Co-authors
- Dennis Daniel Taub (8 shared papers)Ashani T. Weeraratna (4 shared papers)Fred Eliezer Indig (3 shared papers)Michael P. O’Connell (2 shared papers)Amanda D. French (2 shared papers)Miao Xu (1 shared paper)Stephen M. Hewitt (1 shared paper)Jennifer L. Fiori (1 shared paper)
- Journals
- PLoS Genetics (2 papers)Blood (2 papers)International Journal of Medical Sciences (1 paper)Aging (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesPolandIsrael
In The Last Decade
Arnell Carter
11 papers receiving 777 citations
Peers
Comparison fields: 5 of 91
- Aging 108
- Molecular Biology 484
- Immunology 123
- Computational Mathematics 3
- Oncology 114
Countries citing papers authored by Arnell Carter
This map shows the geographic impact of Arnell 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 Arnell Carter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arnell Carter more than expected).
Fields of papers citing papers by Arnell Carter
This network shows the impact of papers produced by Arnell 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 Arnell Carter. The network helps show where Arnell Carter may publish in the future.
Co-authors
The 25 scholars most cited alongside Arnell 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
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 327 | |
| 2 | 2009 | 170 | |
| 3 | 2008 | 97 | |
| 4 | 2009 | 57 | |
| 5 | 2008 | 39 | |
| 6 | 2007 | 25 | |
| 7 | 2011 | 24 | |
| 8 | 2009 | 20 | |
| 9 | 2017 | 20 | |
| 10 | 2013 | 13 | |
| 11 | 2005 | 4 |
About Arnell Carter
Arnell Carter is a scholar working on Immunology, Aging, Physiology, Oncology and Endocrine and Autonomic Systems, having authored 11 papers that have together received 796 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (3 papers), Adipose Tissue and Metabolism (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Chemokine receptors and signaling (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Immune cells in cancer (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Aging (108 citations), Molecular Biology (484 citations), Immunology (123 citations), Computational Mathematics (3 citations) and Oncology (114 citations). Arnell Carter has collaborated with scholars based in United States, Poland and Israel. Frequent co-authors include Dennis Daniel Taub, Ashani T. Weeraratna, Fred Eliezer Indig, Michael P. O’Connell, Amanda D. French, Miao Xu, Stephen M. Hewitt, Jennifer L. Fiori, Brittany P. Frank and Tura C. Camilli. Their work appears in journals such as PLoS Genetics, Blood, International Journal of Medical Sciences, Aging and Cancer Research.
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.