Mark Enstrom
Impact in
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- CAR-T cell therapy research
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in ⓘ
- Genetics 9
- Virus-based gene therapy research 8
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- CRISPR and Genetic Engineering 5
- Single-cell and spatial transcriptomics 2
- Co-authors
- Hans‐Peter Kiem (13 shared papers)Jennifer E. Adair (5 shared papers)Dnyanada Pande (11 shared papers)Stefan Radtke (11 shared papers)Martin E. Wohlfahrt (2 shared papers)Vivian H. Gersuk (1 shared paper)Cameron J. Turtle (1 shared paper)Kevin G. Haworth (2 shared papers)
- Journals
- Molecular Therapy — Methods & Clinical Development (4 papers)Blood (3 papers)Science Translational Medicine (2 papers)Nature Communications (2 papers)Human Gene Therapy (1 paper)
- Partner nations
- United StatesSouth AfricaIndia
In The Last Decade
Mark Enstrom
12 papers receiving 334 citations
Peers
Comparison fields: 5 of 43
- Oncology 183
- Immunology 99
- Hematology 47
- Genetics 113
- Molecular Biology 184
Countries citing papers authored by Mark Enstrom
This map shows the geographic impact of Mark Enstrom'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 Mark Enstrom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Enstrom more than expected).
Fields of papers citing papers by Mark Enstrom
This network shows the impact of papers produced by Mark Enstrom. 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 Mark Enstrom. The network helps show where Mark Enstrom may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Enstrom, 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 | 2020 | 177 | |
| 2 | 2017 | 75 | |
| 3 | 2020 | 33 | |
| 4 | 2020 | 13 | |
| 5 | 2012 | 11 | |
| 6 | 2023 | 10 | |
| 7 | 2020 | 6 | |
| 8 | 2021 | 4 | |
| 9 | 2023 | 2 | |
| 10 | 2025 | 2 | |
| 11 | 2021 | 1 | |
| 12 | 2022 | 1 | |
| 13 | 2025 | 0 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 |
About Mark Enstrom
Mark Enstrom is a scholar working on Genetics, Molecular Biology, Immunology, Oncology and Hematology, having authored 15 papers that have together received 335 indexed citations. Recurring topics across this work include Virus-based gene therapy research (8 papers), CRISPR and Genetic Engineering (5 papers), CAR-T cell therapy research (4 papers), Hematopoietic Stem Cell Transplantation (4 papers), T-cell and B-cell Immunology (3 papers), Single-cell and spatial transcriptomics (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Oncology (183 citations), Immunology (99 citations), Hematology (47 citations), Genetics (113 citations) and Molecular Biology (184 citations). Mark Enstrom has collaborated with scholars based in United States, South Africa and India. Frequent co-authors include Hans‐Peter Kiem, Jennifer E. Adair, Dnyanada Pande, Stefan Radtke, Martin E. Wohlfahrt, Vivian H. Gersuk, Cameron J. Turtle, Kevin G. Haworth, Masanao Yajima and Reed M. Hawkins. Their work appears in journals such as Molecular Therapy — Methods & Clinical Development, Blood, Science Translational Medicine, Nature Communications and Human Gene Therapy.
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.