Alex Abel
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- IL-33, ST2, and ILC Pathways
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Reproductive System and Pregnancy
- Oncology top 10%
- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Epigenetics and DNA Methylation 3
- Genomics and Chromatin Dynamics 2
- CRISPR and Genetic Engineering 2
-
- Immune Cell Function and Interaction 4
- T-cell and B-cell Immunology 3
- Co-authors
- Subramaniam Malarkannan (8 shared papers)Monica S. Thakar (5 shared papers)Chao Yang (2 shared papers)Sridhar Rao (4 shared papers)Kamalakannan Rajasekaran (1 shared paper)Matthew J. Riese (2 shared papers)David Hwang (1 shared paper)Hanmo Zhang (2 shared papers)
- Journals
- Frontiers in Immunology (2 papers)Archives of Virology (2 papers)Molecular Immunology (2 papers)BMC Developmental Biology (1 paper)Leukemia (1 paper)
- Partner nations
- United StatesEgyptChina
In The Last Decade
Alex Abel
11 papers receiving 960 citations
Alex Abel's Hit Papers
Peers
Comparison fields: 5 of 93
- Immunology 632
- Oncology 285
- Hematology 75
- Infectious Diseases 77
- Cancer Research 60
Countries citing papers authored by Alex Abel
This map shows the geographic impact of Alex Abel'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 Alex Abel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex Abel more than expected).
Fields of papers citing papers by Alex Abel
This network shows the impact of papers produced by Alex Abel. 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 Alex Abel. The network helps show where Alex Abel may publish in the future.
Co-authors
The 25 scholars most cited alongside Alex Abel, 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 | Natural Killer Cells: Development, Maturation, and Clinical Utilization Hit paper breakdown → | 2018 | 795 |
| 2 | 2015 | 76 | |
| 3 | 2016 | 46 | |
| 4 | 2014 | 23 | |
| 5 | 2018 | 13 | |
| 6 | 2015 | 11 | |
| 7 | 2019 | 7 | |
| 8 | 2021 | 3 | |
| 9 | 2016 | 2 | |
| 10 | 2021 | 1 | |
| 11 | 2019 | 1 | |
| 12 | 2023 | 0 |
About Alex Abel
Alex Abel is a scholar working on Molecular Biology, Immunology, Genetics, Infectious Diseases and Animal Science and Zoology, having authored 12 papers that have together received 978 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Virus-based gene therapy research (3 papers), Epigenetics and DNA Methylation (3 papers), T-cell and B-cell Immunology (3 papers), Animal Virus Infections Studies (2 papers), Genomics and Chromatin Dynamics (2 papers), CAR-T cell therapy research (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Immunology (632 citations), Oncology (285 citations), Hematology (75 citations), Infectious Diseases (77 citations) and Cancer Research (60 citations). Alex Abel has collaborated with scholars based in United States, Egypt and China. Frequent co-authors include Subramaniam Malarkannan, Monica S. Thakar, Chao Yang, Sridhar Rao, Kamalakannan Rajasekaran, Matthew J. Riese, David Hwang, Hanmo Zhang, Xiuqing Wang and Zachary J. Gerbec. Their work appears in journals such as Frontiers in Immunology, Archives of Virology, Molecular Immunology, BMC Developmental Biology and Leukemia.
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.