Mary K. McKenna
- Oncology top 5%
- CAR-T cell therapy research 18
- Immunology top 10%
- Immune Cell Function and Interaction 9
- T-cell and B-cell Immunology 5
- Genetics top 10%
- Chronic Lymphocytic Leukemia Research 7
- Virus-based gene therapy research 6
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- Chronic Lymphocytic Leukemia Research 7
- Virus-based gene therapy research 6
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- Viral Infectious Diseases and Gene Expression in Insects 6
- Cell death mechanisms and regulation 3
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- Nanowire Synthesis and Applications 3
- Co-authors
- Norihiro WatanabeFeiyan MoMasataka SuzukiMalcolm K. BrennerAmanda Rosewell ShawSubbarao BondadaTyler S. SmithErden Atilla
- Cited by
- OncologyImmunologyGenetics
- Journals
- Journal for ImmunoTherapy of Cancer (4 papers)Molecular Therapy (3 papers)The Journal of Immunology (3 papers)
- Partner nations
- United StatesAustriaJapan
In The Last Decade
Mary K. McKenna
28 papers receiving 846 citations
Peers
Comparison fields: 5 of 78
- Oncology 586
- Immunology 296
- Genetics 225
- Complementary and alternative medicine 49
- Genetics 61
Countries citing papers authored by Mary K. McKenna
This map shows the geographic impact of Mary K. McKenna'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 Mary K. McKenna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary K. McKenna more than expected).
Fields of papers citing papers by Mary K. McKenna
This network shows the impact of papers produced by Mary K. McKenna. 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 Mary K. McKenna. The network helps show where Mary K. McKenna may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mary K. McKenna, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 30 | |
| 5 | 2022 | 115 | |
| 6 | 2022 | 25 | |
| 7 | 2022 | 0 | |
| 8 | 2021 | 56 | |
| 9 | 2021 | 56 | |
| 10 | 2021 | 34 | |
| 11 | 2021 | 12 | |
| 12 | 2020 | 64 | |
| 13 | 2020 | 42 | |
| 14 | 2020 | 111 | |
| 15 | 2020 | 2 | |
| 16 | 2019 | 32 | |
| 17 | 2018 | 42 | |
| 18 | 2017 | 20 | |
| 19 | 2017 | 18 | |
| 20 | 2015 | 55 |
About Mary K. McKenna
Mary K. McKenna is a scholar working on Oncology, Genetics, Immunology, Complementary and alternative medicine and Genetics, having authored 30 papers that have together received 857 indexed citations. Recurring topics across this work include CAR-T cell therapy research (18 papers), Immune Cell Function and Interaction (9 papers), Chronic Lymphocytic Leukemia Research (7 papers), Virus-based gene therapy research (6 papers), Viral Infectious Diseases and Gene Expression in Insects (6 papers), T-cell and B-cell Immunology (5 papers), Cell death mechanisms and regulation (3 papers) and Nanowire Synthesis and Applications (3 papers). The work is most often cited by research in Oncology (586 citations), Immunology (296 citations), Genetics (225 citations), Complementary and alternative medicine (49 citations) and Genetics (61 citations). Mary K. McKenna has collaborated with scholars based in United States, Austria and Japan. Frequent co-authors include Norihiro Watanabe, Feiyan Mo, Masataka Suzuki, Malcolm K. Brenner, Amanda Rosewell Shaw, Subbarao Bondada, Tyler S. Smith, Erden Atilla, Maksim Mamonkin and Pınar Ataca Atilla. Their work appears in journals such as Journal for ImmunoTherapy of Cancer, Molecular Therapy, The Journal of Immunology, Blood and Frontiers in Immunology.
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.