Katelyn E. Masiuk

458 citations
12 papers · 326 · h-index 10

Impact in

    • Virus-based gene therapy research
    • Hemoglobinopathies and Related Disorders
    • CRISPR and Genetic Engineering
    • RNA Interference and Gene Delivery

Papers in

    • CRISPR and Genetic Engineering 3
    • TGF-β signaling in diseases 2
    • Kruppel-like factors research 1
    • Ion channel regulation and function 1
    • Virus-based gene therapy research 7
    • Hemoglobinopathies and Related Disorders 2

Katelyn E. Masiuk

12 papers receiving 325 citations

Peers

Katelyn E. Masiuk
Comparison fields: 5 of 55
  • Genetics 139
  • Genetics 51
  • Molecular Biology 224
  • Immunology 66
  • Oncology 77
Replace Anastasia Lomova with:
Anastasia Lomova United States
Dianne Lumaquin United States
Alexandra Miggelbrink United States
Giorgia Montano Sweden
Francesca Tucci Italy
Kyra E. Stuurman Netherlands
Katrina L. Clines United States
Carmen Flores Sweden
C Fahlman Norway
Miechaleen D. Diers United States
Katelyn E. Masiuk relative to Anastasia Lomova United States Anastasia Lomova's profile →
Citations per field
00.5×1.5×2.4×
Anastasia Lomova · 1×
Citations per year

Countries citing papers authored by Katelyn E. Masiuk

Since Specialization
Citations

This map shows the geographic impact of Katelyn E. Masiuk'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 Katelyn E. Masiuk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katelyn E. Masiuk more than expected).

Fields of papers citing papers by Katelyn E. Masiuk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katelyn E. Masiuk. 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 Katelyn E. Masiuk. The network helps show where Katelyn E. Masiuk may publish in the future.

Co-authors

The 25 scholars most cited alongside Katelyn E. Masiuk, 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 Katelyn E. Masiuk Line = papers co-authored together Katelyn E. Masiuk links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 201983
2 201939
3 201935
4 201729
5 201827
6 201027
7 201525
8 201223
9 201418
10 202211
11 20117
12 20242

About Katelyn E. Masiuk

Katelyn E. Masiuk is a scholar working on Molecular Biology, Genetics, Oncology, Immunology and Genetics, having authored 12 papers that have together received 326 indexed citations. Recurring topics across this work include Virus-based gene therapy research (7 papers), CAR-T cell therapy research (3 papers), CRISPR and Genetic Engineering (3 papers), TGF-β signaling in diseases (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Kruppel-like factors research (1 paper), Dermatologic Treatments and Research (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Genetics (139 citations), Genetics (51 citations), Molecular Biology (224 citations), Immunology (66 citations) and Oncology (77 citations). Katelyn E. Masiuk has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Roger P. Hollis, Donald B. Kohn, Devin Brown, Beatriz Campo-Fernández, Fabrizia Urbinati, Maria Grazia Roncarolo, Adam B. Glick, Zulema Romero, Ruixue Zhang and Rolando Pérez‐Lorenzo. Their work appears in journals such as Molecular Therapy, Blood, Molecular Cancer Research, Human Gene Therapy and Stem Cells.

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.

Explore authors with similar magnitude of impact