Mark Enstrom

575 citations
16 papers · 357 · h-index 7

Impact in

    • CAR-T cell therapy research
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • CRISPR and Genetic Engineering 6
    • Single-cell and spatial transcriptomics 2
    • Virus-based gene therapy research 8

Mark Enstrom

15 papers receiving 356 citations

Peers

Mark Enstrom
Comparison fields: 5 of 41
  • Oncology 189
  • Immunology 96
  • Genetics 114
  • Hematology 42
  • Molecular Biology 179
Replace Francesca Dionisio with:
Francesca Dionisio Italy
Theresa Kaeuferle Germany
Luca Basso‐Ricci Italy
Daniel Hollyman United Kingdom
Luciana Rodrigues Carvalho Barros Brazil
Inés Avedillo Díez Germany
Nhan Tu United States
Peter Buttgereit Germany
Cary Hsu United States
David L. Porter United States
Mark Enstrom relative to Francesca Dionisio Italy Francesca Dionisio's profile →
Citations per field
00.5×4.8×
Francesca Dionisio · 1×
Citations per year

Countries citing papers authored by Mark Enstrom

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Mark Enstrom Line = papers co-authored together Mark Enstrom links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2020186
2 201777
3 202034
4 202014
5 201212
6 202310
7 20207
8 20254
9 20214
10 20252
11 20232
12 20222
13 20211
14 20251
15 20251
16 20260

About Mark Enstrom

Mark Enstrom is a scholar working on Molecular Biology, Genetics, Immunology, Oncology and Hematology, having authored 16 papers that have together received 357 indexed citations. Recurring topics across this work include Virus-based gene therapy research (8 papers), CRISPR and Genetic Engineering (6 papers), Hematopoietic Stem Cell Transplantation (4 papers), CAR-T cell therapy research (4 papers), T-cell and B-cell Immunology (3 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Single-cell and spatial transcriptomics (2 papers) and Nanowire Synthesis and Applications (1 paper). The work is most often cited by research in Oncology (189 citations), Immunology (96 citations), Genetics (114 citations), Hematology (42 citations) and Molecular Biology (179 citations). Mark Enstrom has collaborated with scholars based in United States, South Africa and Germany. Frequent co-authors include Hans‐Peter Kiem, Jennifer E. Adair, Dnyanada Pande, Stefan Radtke, Martin E. Wohlfahrt, Laïla‐Aïcha Hanafi, Vivian H. Gersuk, Valentin Voillet, Hannah A. DeBerg and Peter S. Linsley. Their work appears in journals such as Molecular Therapy — Methods & Clinical Development, Blood, Nature Communications, Science Translational Medicine 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.

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