Carter Allen
Impact in
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- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- T-cell and B-cell Immunology
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- Cancer Immunotherapy and Biomarkers
Papers in
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- Single-cell and spatial transcriptomics 4
- Gene expression and cancer classification 3
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- Immune Cell Function and Interaction 2
- Immune cells in cancer 2
- Co-authors
- Dongjun Chung (12 shared papers)Yuzhou Chang (4 shared papers)Qin Ma (5 shared papers)Zihai Li (6 shared papers)Anjun Ma (2 shared papers)Brian Neelon (4 shared papers)No‐Joon Song (1 shared paper)Satoshi Kaneko (1 shared paper)
- Journals
- Biometrics (2 papers)Cancer Letters (1 paper)Science Immunology (1 paper)PLoS ONE (1 paper)BMJ Open (1 paper)
- Partner nations
- United StatesItalyUnited Kingdom
In The Last Decade
Carter Allen
15 papers receiving 251 citations
Peers
Comparison fields: 5 of 56
- Immunology 72
- Oncology 54
- Cancer Research 20
- Biophysics 8
- Obstetrics and Gynecology 9
Countries citing papers authored by Carter Allen
This map shows the geographic impact of Carter Allen'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 Carter Allen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carter Allen more than expected).
Fields of papers citing papers by Carter Allen
This network shows the impact of papers produced by Carter Allen. 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 Carter Allen. The network helps show where Carter Allen may publish in the future.
Co-authors
The 25 scholars most cited alongside Carter Allen, 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 | 2022 | 137 | |
| 2 | 2022 | 36 | |
| 3 | 2019 | 13 | |
| 4 | 2020 | 11 | |
| 5 | 2022 | 10 | |
| 6 | 2022 | 8 | |
| 7 | 2022 | 7 | |
| 8 | 2021 | 6 | |
| 9 | 2023 | 5 | |
| 10 | 2021 | 5 | |
| 11 | 2008 | 5 | |
| 12 | 2019 | 4 | |
| 13 | 2020 | 2 | |
| 14 | 2025 | 2 | |
| 15 | 2025 | 2 | |
| 16 | 2024 | 0 |
About Carter Allen
Carter Allen is a scholar working on Molecular Biology, Immunology, Cellular and Molecular Neuroscience, Artificial Intelligence and General Health Professions, having authored 16 papers that have together received 253 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Gene expression and cancer classification (3 papers), Neurotransmitter Receptor Influence on Behavior (3 papers), Immune Cell Function and Interaction (2 papers), Immune cells in cancer (2 papers), Bayesian Methods and Mixture Models (2 papers), Gestational Diabetes Research and Management (1 paper) and Statistical Distribution Estimation and Applications (1 paper). The work is most often cited by research in Immunology (72 citations), Oncology (54 citations), Cancer Research (20 citations), Biophysics (8 citations) and Obstetrics and Gynecology (9 citations). Carter Allen has collaborated with scholars based in United States, Italy and United Kingdom. Frequent co-authors include Dongjun Chung, Yuzhou Chang, Qin Ma, Zihai Li, Anjun Ma, Brian Neelon, No‐Joon Song, Satoshi Kaneko, Lei Zhou and Brian Riesenberg. Their work appears in journals such as Biometrics, Cancer Letters, Science Immunology, PLoS ONE and BMJ Open.
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.