Hannah T. Stuart
Impact in
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- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- Renal and related cancers
Papers in
-
- Pluripotent Stem Cells Research 11
- CRISPR and Genetic Engineering 7
- Protein Degradation and Inhibitors 2
- Single-cell and spatial transcriptomics 2
- Surgery 4
- Tissue Engineering and Regenerative Medicine 4
- Co-authors
- José Silva (7 shared papers)Jennifer Nichols (4 shared papers)Peter V. Kharchenko (1 shared paper)Ori Bar‐Nur (1 shared paper)Sabine Dietmann (2 shared papers)Francesco Ferrari (1 shared paper)Ryan Walsh (1 shared paper)Effie Apostolou (1 shared paper)
- Journals
- Cell stem cell (4 papers)Developmental Cell (3 papers)Blood (2 papers)Frontiers in Bioengineering and Biotechnology (1 paper)Current Biology (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Hannah T. Stuart
16 papers receiving 456 citations
Peers
Comparison fields: 5 of 55
- Molecular Biology 385
- Aging 7
- Cancer Research 30
- Developmental Neuroscience 7
- Cell Biology 27
Countries citing papers authored by Hannah T. Stuart
This map shows the geographic impact of Hannah T. Stuart'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 Hannah T. Stuart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hannah T. Stuart more than expected).
Fields of papers citing papers by Hannah T. Stuart
This network shows the impact of papers produced by Hannah T. Stuart. 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 Hannah T. Stuart. The network helps show where Hannah T. Stuart may publish in the future.
Co-authors
The 25 scholars most cited alongside Hannah T. Stuart, 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 | 2013 | 151 | |
| 2 | 2014 | 53 | |
| 3 | 2021 | 45 | |
| 4 | 2021 | 38 | |
| 5 | 2018 | 36 | |
| 6 | 2019 | 29 | |
| 7 | 2021 | 26 | |
| 8 | 2022 | 21 | |
| 9 | 2022 | 16 | |
| 10 | 2023 | 14 | |
| 11 | 2021 | 13 | |
| 12 | 2024 | 10 | |
| 13 | 2025 | 3 | |
| 14 | 2022 | 2 | |
| 15 | 2022 | 2 | |
| 16 | 2022 | 1 | |
| 17 | 2021 | 0 | |
| 18 | 2025 | 0 |
About Hannah T. Stuart
Hannah T. Stuart is a scholar working on Molecular Biology, Surgery, Oncology, Biomedical Engineering and Hematology, having authored 18 papers that have together received 460 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (11 papers), CRISPR and Genetic Engineering (7 papers), Tissue Engineering and Regenerative Medicine (4 papers), CAR-T cell therapy research (4 papers), 3D Printing in Biomedical Research (3 papers), Protein Degradation and Inhibitors (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Molecular Biology (385 citations), Aging (7 citations), Cancer Research (30 citations), Developmental Neuroscience (7 citations) and Cell Biology (27 citations). Hannah T. Stuart has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include José Silva, Jennifer Nichols, Peter V. Kharchenko, Ori Bar‐Nur, Sabine Dietmann, Francesco Ferrari, Ryan Walsh, Effie Apostolou, Sihem Cheloufi and José M. Polo. Their work appears in journals such as Cell stem cell, Developmental Cell, Blood, Frontiers in Bioengineering and Biotechnology and Current Biology.
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.