Brian T. Abe
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
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- MicroRNA in disease regulation
Papers in
- Immunology 10
- Immune Cell Function and Interaction 7
- T-cell and B-cell Immunology 4
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- Signaling Pathways in Disease 5
- Circular RNAs in diseases 2
- Single-cell and spatial transcriptomics 2
- Co-authors
- Fernando Macián (5 shared papers)Robert Chen (3 shared papers)Howard Y. Chang (3 shared papers)Laura Amaya (2 shared papers)Ian L. Baine (3 shared papers)Zhijian Li (1 shared paper)Paul A. Wender (1 shared paper)Julia A. Belk (1 shared paper)
- Journals
- Molecular Cell (2 papers)Cancer Research (1 paper)Molecular Immunology (1 paper)OncoImmunology (1 paper)The Journal of Cell Biology (1 paper)
- Partner nations
- United StatesFranceSweden
In The Last Decade
Brian T. Abe
17 papers receiving 845 citations
Brian T. Abe's Hit Papers
Peers
Comparison fields: 5 of 93
- Immunology 254
- Cancer Research 161
- Molecular Biology 497
- Oncology 104
- Genetics 100
Countries citing papers authored by Brian T. Abe
This map shows the geographic impact of Brian T. Abe'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 Brian T. Abe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian T. Abe more than expected).
Fields of papers citing papers by Brian T. Abe
This network shows the impact of papers produced by Brian T. Abe. 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 Brian T. Abe. The network helps show where Brian T. Abe may publish in the future.
Co-authors
The 25 scholars most cited alongside Brian T. Abe, 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 | Engineering circular RNA for enhanced protein production Hit paper breakdown → | 2022 | 335 |
| 2 | Xist ribonucleoproteins promote female sex-biased autoimmunity Hit paper breakdown → | 2024 | 143 |
| 3 | 2009 | 72 | |
| 4 | 2009 | 67 | |
| 5 | 2022 | 50 | |
| 6 | 2019 | 43 | |
| 7 | 2012 | 34 | |
| 8 | 2023 | 31 | |
| 9 | 2016 | 23 | |
| 10 | 2013 | 17 | |
| 11 | 2024 | 13 | |
| 12 | 2023 | 10 | |
| 13 | 2018 | 10 | |
| 14 | 2017 | 6 | |
| 15 | 2019 | 5 | |
| 16 | 2009 | 3 | |
| 17 | 2024 | 1 |
About Brian T. Abe
Brian T. Abe is a scholar working on Immunology, Molecular Biology, Genetics, Oncology and Immunology and Allergy, having authored 17 papers that have together received 863 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), Signaling Pathways in Disease (5 papers), Diabetes and associated disorders (4 papers), T-cell and B-cell Immunology (4 papers), Pancreatic function and diabetes (3 papers), CAR-T cell therapy research (2 papers), Circular RNAs in diseases (2 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Immunology (254 citations), Cancer Research (161 citations), Molecular Biology (497 citations), Oncology (104 citations) and Genetics (100 citations). Brian T. Abe has collaborated with scholars based in United States, France and Sweden. Frequent co-authors include Fernando Macián, Robert Chen, Howard Y. Chang, Laura Amaya, Ian L. Baine, Zhijian Li, Paul A. Wender, Julia A. Belk, Sean K. Wang and Chun‐Kan Chen. Their work appears in journals such as Molecular Cell, Cancer Research, Molecular Immunology, OncoImmunology and The Journal of Cell Biology.
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.