Lisa Mohamet

1.3k total citations
19 papers, 715 citations indexed

About

Lisa Mohamet is a scholar working on Molecular Biology, Oncology and Biomedical Engineering. According to data from OpenAlex, Lisa Mohamet has authored 19 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Biomedical Engineering. Recurrent topics in Lisa Mohamet's work include Pluripotent Stem Cells Research (10 papers), 3D Printing in Biomedical Research (5 papers) and CRISPR and Genetic Engineering (4 papers). Lisa Mohamet is often cited by papers focused on Pluripotent Stem Cells Research (10 papers), 3D Printing in Biomedical Research (5 papers) and CRISPR and Genetic Engineering (4 papers). Lisa Mohamet collaborates with scholars based in United Kingdom, United States and Spain. Lisa Mohamet's co-authors include Christopher M. Ward, Rebecca Atkinson-Dell, Alexei Verkhratsky, Vicky C. Jones, Kate Hawkins, Sarah Ritson, Catherine L.R. Merry, Susan J. Kimber, Ali A. Fouladi‐Nashta and Bonnie Neltner and has published in prestigious journals such as PLoS ONE, Antimicrobial Agents and Chemotherapy and Developmental Biology.

In The Last Decade

Lisa Mohamet

18 papers receiving 708 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lisa Mohamet United Kingdom 14 385 133 125 103 92 19 715
Nicholas Bredenkamp United Kingdom 12 438 1.1× 197 1.5× 62 0.5× 77 0.7× 56 0.6× 12 801
Yiyan Zheng China 18 743 1.9× 65 0.5× 35 0.3× 79 0.8× 30 0.3× 32 1.2k
Clive N. Svendsen United States 6 229 0.6× 27 0.2× 189 1.5× 110 1.1× 47 0.5× 9 517
Liming Cheng China 12 1.0k 2.7× 58 0.4× 93 0.7× 38 0.4× 73 0.8× 27 1.3k
Rouel S. Roque United States 21 865 2.2× 173 1.3× 60 0.5× 65 0.6× 61 0.7× 40 1.3k
Matthieu Vermeren United Kingdom 14 335 0.9× 153 1.2× 41 0.3× 52 0.5× 42 0.5× 20 890
Sara E. Gookin United States 8 290 0.8× 74 0.6× 30 0.2× 117 1.1× 62 0.7× 12 664
Lianhong Jin China 17 363 0.9× 85 0.6× 31 0.2× 76 0.7× 96 1.0× 39 809
Berna Sözen Türkiye 19 1.2k 3.0× 104 0.8× 313 2.5× 44 0.4× 155 1.7× 38 1.6k

Countries citing papers authored by Lisa Mohamet

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Mohamet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lisa Mohamet. 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 Lisa Mohamet. The network helps show where Lisa Mohamet may publish in the future.

Co-authorship network of co-authors of Lisa Mohamet

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa Mohamet. A scholar is included among the top collaborators of Lisa Mohamet 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 Lisa Mohamet. Lisa Mohamet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Martínez-Hoyos, María, Alfonso Mendoza-Losana, Lisa Mohamet, et al.. (2025). High-throughput screening of small molecules targeting Mycobacterium tuberculosis in human iPSC macrophages. Antimicrobial Agents and Chemotherapy. 69(7). e0161324–e0161324.
2.
Ekert, Jason E., Julianna S. Deakyne, Rebecca Terry, et al.. (2020). Recommended Guidelines for Developing, Qualifying, and Implementing Complex In Vitro Models (CIVMs) for Drug Discovery. SLAS DISCOVERY. 25(10). 1174–1190. 42 indexed citations
3.
Atkinson-Dell, Rebecca & Lisa Mohamet. (2019). Induced Pluripotent Stem Cell-Derived Astroglia: A New Tool for Research Towards the Treatment of Alzheimer’s Disease. Advances in experimental medicine and biology. 1175. 383–405. 7 indexed citations
4.
Mohamet, Lisa, Vicky C. Jones, Govindan Dayanithi, & Alexei Verkhratsky. (2018). Pathological Human Astroglia in Alzheimer's Disease: Opening New Horizons with Stem Cell Technology. Future Neurology. 13(2). 87–99. 5 indexed citations
5.
Jones, Vicky C., Rebecca Atkinson-Dell, Alexei Verkhratsky, & Lisa Mohamet. (2017). Aberrant iPSC-derived human astrocytes in Alzheimer's disease. Cell Death and Disease. 8(3). e2696–e2696. 134 indexed citations
6.
Dou, Rui, R. Saunders, Lisa Mohamet, Christopher M. Ward, & Brian Derby. (2015). High throughput cryopreservation of cells by rapid freezing of sub-μl drops using inkjet printing – cryoprinting. Lab on a Chip. 15(17). 3503–3513. 28 indexed citations
7.
Grunow, Bianka, Lisa Mohamet, & Holly A. Shiels. (2015). Generating an In Vitro 3D Cell Culture Model from Zebrafish Larvae for Heart Research. Journal of Experimental Biology. 218(Pt 8). 1116–21. 14 indexed citations
8.
Mohamet, Lisa. (2014). Familial Alzheimer’s disease modelling using induced pluripotent stem cell technology. World Journal of Stem Cells. 6(2). 239–239. 20 indexed citations
9.
Hawkins, Kate, Francesca Soncin, Joe M. Segal, et al.. (2014). Novel Cell Lines Isolated From Mouse Embryonic Stem Cells Exhibiting De Novo Methylation of the E-Cadherin Promoter. Stem Cells. 32(11). 2869–2879. 4 indexed citations
10.
Hawkins, Kate, Lisa Mohamet, Sarah Ritson, Catherine L.R. Merry, & Christopher M. Ward. (2012). E-cadherin and, in Its Absence, N-cadherin Promotes Nanog Expression in Mouse Embryonic Stem Cells via STAT3 Phosphorylation. Stem Cells. 30(9). 1842–1851. 61 indexed citations
11.
Soncin, Francesca, Lisa Mohamet, Sarah Ritson, et al.. (2011). E-Cadherin Acts as a Regulator of Transcripts Associated with a Wide Range of Cellular Processes in Mouse Embryonic Stem Cells. PLoS ONE. 6(7). e21463–e21463. 24 indexed citations
12.
13.
Mohamet, Lisa, Kate Hawkins, & Christopher M. Ward. (2010). Loss of Function of E-Cadherin in Embryonic Stem Cells and the Relevance to Models of Tumorigenesis. Journal of Oncology. 2011. 1–19. 47 indexed citations
14.
Mohamet, Lisa, John K. Heath, & Susan J. Kimber. (2009). Determining the LIF-sensitive period for implantation using a LIF-receptor antagonist. Reproduction. 138(5). 827–836. 20 indexed citations
15.
Soncin, Francesca, Lisa Mohamet, Dominik Eckardt, et al.. (2009). Abrogation of E-Cadherin-Mediated Cell–Cell Contact in Mouse Embryonic Stem Cells Results in Reversible LIF-Independent Self-Renewal. Stem Cells. 27(9). 2069–2080. 97 indexed citations
16.
Fouladi‐Nashta, Ali A., Lisa Mohamet, John K. Heath, & Susan J. Kimber. (2008). Interleukin 1 Signaling Is Regulated by Leukemia Inhibitory Factor (LIF) and Is Aberrant in Lif−/− Mouse Uterus1. Biology of Reproduction. 79(1). 142–153. 14 indexed citations
17.
Fouladi‐Nashta, Ali A., Carolyn Jones, Lisa Mohamet, et al.. (2005). Characterization of the uterine phenotype during the peri-implantation period for LIF-null, MF1 strain mice. Developmental Biology. 281(1). 1–21. 83 indexed citations
18.
Liby, Karen T., Bonnie Neltner, Lisa Mohamet, Craig J. Burd, & Nira Ben‐Jonathan. (2003). Endostatin Expression by MDA-MB-435 Breast Cancer Cells Effectively Inhibits Tumor Growth. Cancer Biology & Therapy. 2(1). 49–53. 11 indexed citations
19.
Liby, Karen T., et al.. (2003). Prolactin Overexpression by MDA-MB-435 Human Breast Cancer Cells Accelerates Tumor Growth. Breast Cancer Research and Treatment. 79(2). 241–252. 61 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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