Lauren Chan

2.1k total citations · 1 hit paper
22 papers, 684 citations indexed

About

Lauren Chan is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Lauren Chan has authored 22 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Artificial Intelligence. Recurrent topics in Lauren Chan's work include Biomedical Text Mining and Ontologies (5 papers), Semantic Web and Ontologies (4 papers) and Nutrition, Genetics, and Disease (3 papers). Lauren Chan is often cited by papers focused on Biomedical Text Mining and Ontologies (5 papers), Semantic Web and Ontologies (4 papers) and Nutrition, Genetics, and Disease (3 papers). Lauren Chan collaborates with scholars based in United States, Canada and Italy. Lauren Chan's co-authors include Darren A. Yuen, Rohan John, Amy S. Lee, Hui Zhou, Andrew Advani, Yi Zhang, Yong Fu, Ahmad Sidiqi, Mingliang Lu and Stephen G. Szeto and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Environmental Health Perspectives.

In The Last Decade

Lauren Chan

22 papers receiving 678 citations

Hit Papers

YAP/TAZ Are Mechanoregulators of TGF-β-Smad Signaling and... 2016 2026 2019 2022 2016 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lauren Chan United States 10 324 277 71 64 62 22 684
Julien Villeneuve France 17 306 0.9× 269 1.0× 87 1.2× 66 1.0× 97 1.6× 27 753
Liming Milbauer United States 13 421 1.3× 139 0.5× 50 0.7× 36 0.6× 119 1.9× 25 1.0k
Till Freudenberger Germany 12 289 0.9× 313 1.1× 75 1.1× 248 3.9× 79 1.3× 18 881
Carlos E. Irarrázabal Chile 20 486 1.5× 236 0.9× 189 2.7× 125 2.0× 115 1.9× 45 1.1k
Tessa J.M. Wijnhoven Netherlands 17 471 1.5× 396 1.4× 78 1.1× 25 0.4× 66 1.1× 18 929
Eric Chan China 13 241 0.7× 87 0.3× 92 1.3× 66 1.0× 91 1.5× 21 729
Xiao Fang China 15 466 1.4× 280 1.0× 32 0.5× 150 2.3× 37 0.6× 30 794
Tirthadipa Pradhan‐Sundd United States 15 292 0.9× 116 0.4× 90 1.3× 82 1.3× 70 1.1× 35 643
Yuichiro Takei Japan 16 372 1.1× 51 0.2× 95 1.3× 57 0.9× 86 1.4× 30 698
Joost F.M. Lensen Netherlands 16 323 1.0× 320 1.2× 73 1.0× 24 0.4× 86 1.4× 22 797

Countries citing papers authored by Lauren Chan

Since Specialization
Citations

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

Fields of papers citing papers by Lauren Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lauren Chan

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

All Works

20 of 20 papers shown
1.
Ritchie, Tyrah M., Fatemeh Vahedi, E.M.G.J. de Jong, et al.. (2025). The impact of oral cannabis consumption during pregnancy on maternal spiral artery remodelling, fetal growth and offspring behaviour in mice. EBioMedicine. 114. 105572–105572. 5 indexed citations
2.
3.
Coleman, Ben, Elena Casiraghi, Tiffany J. Callahan, et al.. (2024). Association of post-COVID phenotypic manifestations with new-onset psychiatric disease. Translational Psychiatry. 14(1). 246–246. 1 indexed citations
4.
Dooley, Damion, Georgeta Bordea, Leigh Carmody, et al.. (2024). OBO Foundry food ontology interconnectivity. Semantic Web. 15(4). 1239–1258. 1 indexed citations
5.
Chan, Lauren, Elena Casiraghi, Justin Reese, et al.. (2024). Predicting nutrition and environmental factors associated with female reproductive disorders using a knowledge graph and random forests. International Journal of Medical Informatics. 187. 105461–105461. 4 indexed citations
7.
Chan, Lauren, Anne Thessen, William D. Duncan, et al.. (2023). The Environmental Conditions, Treatments, and Exposures Ontology (ECTO): connecting toxicology and exposure to human health and beyond. Journal of Biomedical Semantics. 14(1). 3–3. 7 indexed citations
8.
Dooley, Damion, Matthew Lange, Lauren Chan, et al.. (2022). Food process ontology requirements. Semantic Web. 15(4). 1133–1164. 4 indexed citations
9.
Malaney, Prerna, Xiaorui Zhang, Shelley M. Herbrich, et al.. (2022). Heterogeneous nuclear ribonucleoprotein K is overexpressed in acute myeloid leukemia and causes myeloproliferation in mice via altered Runx1 splicing. NAR Cancer. 4(4). zcac039–zcac039. 8 indexed citations
10.
Chan, Lauren, Elena Casiraghi, Bryan Laraway, et al.. (2022). Metformin is associated with reduced COVID-19 severity in patients with prediabetes. Diabetes Research and Clinical Practice. 194. 110157–110157. 12 indexed citations
11.
Walls, Ramona, Damion Dooley, Ramil Mauleon, et al.. (2022). Establishing a Common Nutritional Vocabulary - From Food Production to Diet. Frontiers in Nutrition. 9. 928837–928837. 9 indexed citations
12.
Malaney, Prerna, María Velasco‐Estevez, Lauren Chan, et al.. (2021). The Eµ-hnRNP K Murine Model of Lymphoma: Novel Insights into the Role of hnRNP K in B-Cell Malignancies. Frontiers in Immunology. 12. 634584–634584. 3 indexed citations
13.
Post, Sean M., Huaxian Ma, Prerna Malaney, et al.. (2021). AXL/MERTK inhibitor ONO-7475 potently synergizes with venetoclax and overcomes venetoclax resistance to kill <i>FLT3</i>-ITD acute myeloid leukemia. Haematologica. 107(6). 1311–1322. 24 indexed citations
14.
Chan, Lauren, Nicole Vasilevsky, Anne Thessen, Julie A. McMurry, & Melissa Haendel. (2021). The landscape of nutri-informatics: a review of current resources and challenges for integrative nutrition research. Database. 2021. 20 indexed citations
16.
Thessen, Anne, Cynthia Grondin, Resham Kulkarni, et al.. (2020). Community Approaches for Integrating Environmental Exposures into Human Models of Disease. Environmental Health Perspectives. 128(12). 125002–125002. 15 indexed citations
17.
Yuen, Darren A., Yiwei Huang, Guangying Liu, et al.. (2016). Recombinant N–Terminal Slit2 Inhibits TGF-β–Induced Fibroblast Activation and Renal Fibrosis. Journal of the American Society of Nephrology. 27(9). 2609–2615. 31 indexed citations
18.
Chaturvedi, Swasti, Darren A. Yuen, Amandeep Bajwa, et al.. (2013). Slit2 Prevents Neutrophil Recruitment and Renal Ischemia-Reperfusion Injury. Journal of the American Society of Nephrology. 24(8). 1274–1287. 52 indexed citations
19.
Yuen, Darren A., Yanling Zhang, Kerri Thai, et al.. (2012). Angiogenic Dysfunction in Bone Marrow-Derived Early Outgrowth Cells from Diabetic Animals Is Attenuated by SIRT1 Activation. Stem Cells Translational Medicine. 1(12). 921–926. 20 indexed citations
20.
Zhou, Hui, Yi Zhang, Yong Fu, Lauren Chan, & Amy S. Lee. (2011). Novel Mechanism of Anti-apoptotic Function of 78-kDa Glucose-regulated Protein (GRP78). Journal of Biological Chemistry. 286(29). 25687–25696. 111 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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