Hannah T. Stuart

849 total citations
18 papers, 448 citations indexed

About

Hannah T. Stuart is a scholar working on Molecular Biology, Surgery and Oncology. According to data from OpenAlex, Hannah T. Stuart has authored 18 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Surgery and 4 papers in Oncology. Recurrent topics in Hannah T. Stuart's work include Pluripotent Stem Cells Research (11 papers), CRISPR and Genetic Engineering (7 papers) and Tissue Engineering and Regenerative Medicine (4 papers). Hannah T. Stuart is often cited by papers focused on Pluripotent Stem Cells Research (11 papers), CRISPR and Genetic Engineering (7 papers) and Tissue Engineering and Regenerative Medicine (4 papers). Hannah T. Stuart collaborates with scholars based in United Kingdom, United States and Italy. Hannah T. Stuart's co-authors include José Silva, Jennifer Nichols, Peter V. Kharchenko, Matthias Stadtfeld, Sihem Cheloufi, Mark L. Borowsky, Ryan Walsh, Francesco Ferrari, Ori Bar‐Nur and José M. Polo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

In The Last Decade

Hannah T. Stuart

16 papers receiving 444 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hannah T. Stuart United Kingdom 11 389 47 43 37 35 18 448
Adriano Bolondi Germany 9 341 0.9× 59 1.3× 26 0.6× 29 0.8× 22 0.6× 15 381
Hongqing Liang Singapore 11 436 1.1× 40 0.9× 41 1.0× 39 1.1× 26 0.7× 17 507
Vladislav Krupalnik Israel 6 486 1.2× 21 0.4× 59 1.4× 19 0.5× 23 0.7× 6 501
Guanyi Huang United States 9 361 0.9× 33 0.7× 93 2.2× 26 0.7× 69 2.0× 9 474
Yee Siang Lim Singapore 4 523 1.3× 73 1.6× 53 1.2× 21 0.6× 14 0.4× 6 554
Katie Sanders United States 8 315 0.8× 28 0.6× 50 1.2× 40 1.1× 23 0.7× 13 385
Nobuko Katoku-Kikyo United States 12 529 1.4× 22 0.5× 60 1.4× 25 0.7× 48 1.4× 14 621
Marloes Blotenburg Netherlands 6 444 1.1× 78 1.7× 65 1.5× 19 0.5× 64 1.8× 7 531
Aurélie Dupuy France 9 309 0.8× 15 0.3× 51 1.2× 48 1.3× 53 1.5× 16 420
Marcello Stanzione United States 10 360 0.9× 34 0.7× 55 1.3× 59 1.6× 58 1.7× 12 444

Countries citing papers authored by Hannah T. Stuart

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Hannah T. Stuart

This figure shows the co-authorship network connecting the top 25 collaborators of Hannah T. Stuart. A scholar is included among the top collaborators of Hannah T. Stuart based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hannah T. Stuart. Hannah T. Stuart is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Emiliani, Francesco E., Hannah T. Stuart, Fred Kolling, et al.. (2025). The endogenous antigen-specific CD8+ T cell repertoire is composed of unbiased and biased clonotypes with differential fate commitments. Immunity. 58(3). 601–615.e9.
2.
Waldschmidt, Johannes M., Sankalp Arora, Tushara Vijaykumar, et al.. (2025). Nivolumab to restore T-cell fitness in CAR-T refractory multiple myeloma. Blood Advances. 9(5). 1132–1136. 3 indexed citations
3.
Stuart, Hannah T., Keisuke Ishihara, Manuela Melchionda, et al.. (2024). Mouse neural tube organoids self-organize floorplate through BMP-mediated cluster competition. Developmental Cell. 59(15). 1940–1953.e10. 9 indexed citations
4.
Li, Huanhuan, Jinyi Wu, Jiahui Huang, et al.. (2023). In vitro generation of mouse morula-like cells. Developmental Cell. 58(22). 2510–2527.e7. 12 indexed citations
5.
Urciuolo, Anna, Hannah T. Stuart, Cecilia Laterza, et al.. (2022). 3D ECM-rich environment sustains the identity of naive human iPSCs. Cell stem cell. 29(12). 1703–1717.e7. 15 indexed citations
6.
Yang, Yang, Cecilia Laterza, Hannah T. Stuart, et al.. (2022). Human Pluripotent Stem Cell-Derived Micropatterned Ectoderm Allows Cell Sorting of Meso-Endoderm Lineages. Frontiers in Bioengineering and Biotechnology. 10. 907159–907159. 2 indexed citations
7.
Delás, M. Joaquina, et al.. (2022). Developmental cell fate choice in neural tube progenitors employs two distinct cis-regulatory strategies. Developmental Cell. 58(1). 3–17.e8. 20 indexed citations
8.
Waldschmidt, Johannes M., Sankalp Arora, Tushara Vijaykumar, et al.. (2022). Nivolumab-Based Salvage Therapy to Restore T Cell Fitness in Penta-Refractory Multiple Myeloma with Relapse to Anti-BCMA CAR T Cell Therapy. Blood. 140(Supplement 1). 9925–9926. 1 indexed citations
9.
Frede, Julia, Hannah T. Stuart, Yana Pikman, et al.. (2022). Single-Cell Multi-Omics Reveals Immune Microenvironment Alterations in T-Cell Acute Lymphoblastic Leukemia. Blood. 140(Supplement 1). 9192–9193. 1 indexed citations
10.
Labouesse, Céline, Chibeza C. Agley, Moritz Hofer, et al.. (2021). StemBond hydrogels control the mechanical microenvironment for pluripotent stem cells. Nature Communications. 12(1). 6132–6132. 35 indexed citations
11.
Stirparo, Giuliano Giuseppe, Hannah T. Stuart, Amanda Andersson-Rolf, et al.. (2021). Sox2 modulation increases naïve pluripotency plasticity. iScience. 24(3). 102153–102153. 13 indexed citations
12.
Stirparo, Giuliano Giuseppe, Agata Kurowski, Ayaka Yanagida, et al.. (2021). OCT4 induces embryonic pluripotency via STAT3 signaling and metabolic mechanisms. Proceedings of the National Academy of Sciences. 118(3). 42 indexed citations
13.
Frede, Julia, Praveen Anand, Ricardo A. Pinto, et al.. (2021). Dynamic transcriptional reprogramming leads to immunotherapeutic vulnerabilities in myeloma. Nature Cell Biology. 23(11). 1199–1211. 26 indexed citations
14.
Urciuolo, Anna, Hannah T. Stuart, Cecilia Laterza, et al.. (2021). 3D ECM-Rich Environment Sustains the Identity of Naïve Human iPSCs. SSRN Electronic Journal.
15.
Stuart, Hannah T., Giuliano Giuseppe Stirparo, Tim Lohoff, et al.. (2019). Distinct Molecular Trajectories Converge to Induce Naive Pluripotency. Cell stem cell. 25(3). 388–406.e8. 29 indexed citations
16.
Sousa, Elsa, Hannah T. Stuart, Mohammadmersad Ghorbani, et al.. (2018). Exit from Naive Pluripotency Induces a Transient X Chromosome Inactivation-like State in Males. Cell stem cell. 22(6). 919–928.e6. 36 indexed citations
17.
Stuart, Hannah T., Aliaksandra Radzisheuskaya, Graziano Martello, et al.. (2014). NANOG Amplifies STAT3 Activation and They Synergistically Induce the Naive Pluripotent Program. Current Biology. 24(3). 340–346. 53 indexed citations
18.
Apostolou, Effie, Francesco Ferrari, Ryan Walsh, et al.. (2013). Genome-wide Chromatin Interactions of the Nanog Locus in Pluripotency, Differentiation, and Reprogramming. Cell stem cell. 12(6). 699–712. 151 indexed citations

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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