Sarah Javaid

4.8k total citations · 1 hit paper
18 papers, 1.3k citations indexed

About

Sarah Javaid is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Sarah Javaid has authored 18 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Sarah Javaid's work include Cancer Cells and Metastasis (5 papers), Genomics and Chromatin Dynamics (4 papers) and Epigenetics and DNA Methylation (3 papers). Sarah Javaid is often cited by papers focused on Cancer Cells and Metastasis (5 papers), Genomics and Chromatin Dynamics (4 papers) and Epigenetics and DNA Methylation (3 papers). Sarah Javaid collaborates with scholars based in United States, China and Pakistan. Sarah Javaid's co-authors include Daniel A. Haber, Mehmet Toner, Shyamala Maheswaran, Michael G. Poirier, Richard Fishel, Shannon L. Stott, Marissa W. Madden, Ryan OʼKeefe, David M. Langenau and Brian D. Storey and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Clinical Investigation.

In The Last Decade

Sarah Javaid

17 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Clusters of circulating tumor cells traverse capillary-sized vessels

2016 366 citations Sam H. Au, Brian D. Storey et al. Proceedings of the National Academy of Sciences profile →

Peers

Sarah Javaid

ONCOL

Ana Luísa Correia Portugal

Alison M. Taylor United States

Dmitriy Kedrin United States

James E. Verdone United States

Francesca Di Modugno Italy

Marie Schoumacher France

Helen Kalirai United Kingdom

Colinda L. G. J. Scheele Belgium

Ludmilla de Plater France

Ana Luísa Correia Portugal

Sarah Javaid

578 ×0.9

516 ×1.0

ONCOL

204 ×0.7

246 ×1.1

149 ×0.8

Citations per year, relative to Sarah Javaid Sarah Javaid (= 1×) peers Ana Luísa Correia

Countries citing papers authored by Sarah Javaid

Since Specialization

Citations

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

Fields of papers citing papers by Sarah Javaid

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Javaid

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

All Works

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18 of 18 papers shown

Singh, Latika, Eric S. Muise, Anannya Bhattacharya, et al.. (2020). ILT3 (LILRB4) Promotes the Immunosuppressive Function of Tumor-Educated Human Monocytic Myeloid-Derived Suppressor Cells. Molecular Cancer Research. 19(4). 702–716. 51 indexed citations

Muise, Eric S., Sarah Javaid, Lan Chen, et al.. (2019). Identification of predictive genetic signatures of Cytarabine responsiveness using a 3D acute myeloid leukaemia model. Journal of Cellular and Molecular Medicine. 23(10). 7063–7077. 9 indexed citations

Demma, Mark J., Claudio Mapelli, Smaranda Bodea, et al.. (2019). Omomyc Reveals New Mechanisms To Inhibit the MYC Oncogene. Molecular and Cellular Biology. 39(22). 77 indexed citations

Abbas, Qasim, et al.. (2019). An Efficient Video Editing Application for Android based Technologies. Indian Journal of Science and Technology. 12(15). 1–9. 7 indexed citations

Ali, Tariq, et al.. (2018). Motif Detection in Cellular Tumor p53 Antigen Protein Sequences by using Bioinformatics Big Data Analytical Techniques. International Journal of Advanced Computer Science and Applications. 9(5). 6 indexed citations

Hossain, Dewan Md Sakib, Sarah Javaid, Mingmei Cai, et al.. (2018). Dinaciclib induces immunogenic cell death and enhances anti-PD1–mediated tumor suppression. Journal of Clinical Investigation. 128(2). 644–654. 167 indexed citations

McLeod, Robbie L., Minilik Angagaw, Toya Nath Baral, et al.. (2018). Characterization of murine CEACAM1 in vivo reveals low expression on CD8+ T cells and no tumor growth modulating activity by anti-CEACAM1 mAb CC1. Oncotarget. 9(77). 34459–34470. 8 indexed citations

Haines, Brian B., Sarah Javaid, Long Cui, et al.. (2017). Abstract 4714: Blockade of LAG-3 amplifies immune activation signatures and augments curative antitumor responses to anti-PD-1 therapy in immune competent mouse models of cancer. Cancer Research. 77(13_Supplement). 4714–4714. 6 indexed citations

Pinheiro, Elaine M., Ruban Mangadu, Mingmei Cai, et al.. (2016). Abstract 543: Preclinical combination strategies to enhance the efficacy of the anti-PD-1 antibody pembrolizumab. Cancer Research. 76(14_Supplement). 543–543.

10.

Au, Sam H., Brian D. Storey, John C. Moore, et al.. (2016). Clusters of circulating tumor cells traverse capillary-sized vessels. Proceedings of the National Academy of Sciences. 113(18). 4947–4952. 366 indexed citations breakdown →

11.

Javaid, Sarah, Jianmin Zhang, Gromoslaw A. Smolen, et al.. (2015). MAPK7 Regulates EMT Features and Modulates the Generation of CTCs. Molecular Cancer Research. 13(5). 934–943. 35 indexed citations

12.

Tajima, Ken, Toshifumi Yae, Sarah Javaid, et al.. (2015). SETD1A modulates cell cycle progression through a miRNA network that regulates p53 target genes. Nature Communications. 6(1). 8257–8257. 40 indexed citations

13.

Wong, Ian Y., Sarah Javaid, Elisabeth Wong, et al.. (2014). Collective and individual migration following the epithelial–mesenchymal transition. Nature Materials. 13(11). 1063–1071. 143 indexed citations

14.

Javaid, Sarah, Jianmin Zhang, Endre Anderssen, et al.. (2013). Dynamic Chromatin Modification Sustains Epithelial-Mesenchymal Transition following Inducible Expression of Snail-1. Cell Reports. 5(6). 1679–1689. 78 indexed citations

15.

North, Justin A., John C. Shimko, Sarah Javaid, et al.. (2012). Regulation of the nucleosome unwrapping rate controls DNA accessibility. Nucleic Acids Research. 40(20). 10215–10227. 95 indexed citations

16.

Forties, Robert A., Justin A. North, Sarah Javaid, et al.. (2011). A quantitative model of nucleosome dynamics. Nucleic Acids Research. 39(19). 8306–8313. 46 indexed citations

17.

North, Justin A., Sarah Javaid, Nilanjana Chatterjee, et al.. (2011). Phosphorylation of histone H3(T118) alters nucleosome dynamics and remodeling. Nucleic Acids Research. 39(15). 6465–6474. 58 indexed citations

18.

Javaid, Sarah, Mridula Manohar, Alex M. Mooney, et al.. (2009). Nucleosome Remodeling by hMSH2-hMSH6. Molecular Cell. 36(6). 1086–1094. 60 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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