Lauren N. Randolph

805 total citations
18 papers, 589 citations indexed

About

Lauren N. Randolph is a scholar working on Molecular Biology, Cell Biology and Surgery. According to data from OpenAlex, Lauren N. Randolph has authored 18 papers receiving a total of 589 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Cell Biology and 3 papers in Surgery. Recurrent topics in Lauren N. Randolph's work include Pluripotent Stem Cells Research (12 papers), CRISPR and Genetic Engineering (6 papers) and Zebrafish Biomedical Research Applications (4 papers). Lauren N. Randolph is often cited by papers focused on Pluripotent Stem Cells Research (12 papers), CRISPR and Genetic Engineering (6 papers) and Zebrafish Biomedical Research Applications (4 papers). Lauren N. Randolph collaborates with scholars based in United States, Sweden and Italy. Lauren N. Randolph's co-authors include Nicole F. Steinmetz, Michael A. Bruckman, Xiaojun Lian, Xiaoping Bao, Andrew J. Shoffstall, Rebecca E. Taurog, Xin Yu, Kai Jiang, Leonard G. Luyt and Anna E. Czapar and has published in prestigious journals such as Nano Letters, Nature Cell Biology and Biomaterials.

In The Last Decade

Lauren N. Randolph

17 papers receiving 588 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lauren N. Randolph United States 12 267 166 133 118 100 18 589
Nadia Ayat United States 13 306 1.1× 90 0.5× 71 0.5× 51 0.4× 94 0.9× 19 565
Genevieve K Phillips United States 7 371 1.4× 150 0.9× 143 1.1× 28 0.2× 146 1.5× 10 629
Amber Ablack United States 13 605 2.3× 206 1.2× 171 1.3× 127 1.1× 100 1.0× 18 1.2k
Sujna Raval-Fernandes United States 10 518 1.9× 131 0.8× 60 0.5× 27 0.2× 70 0.7× 14 731
Yvonne Stark Germany 12 497 1.9× 58 0.3× 70 0.5× 31 0.3× 65 0.7× 21 738
Microsugar Chang Taiwan 9 602 2.3× 87 0.5× 91 0.7× 59 0.5× 75 0.8× 10 666
Florian Manzenrieder Germany 13 309 1.2× 113 0.7× 61 0.5× 15 0.1× 45 0.5× 16 521
Liping Zuo China 13 351 1.3× 24 0.1× 344 2.6× 63 0.5× 104 1.0× 26 721
Tongren Yang China 13 835 3.1× 25 0.2× 198 1.5× 134 1.1× 90 0.9× 18 1.1k
Sara D’Angelo United States 16 553 2.1× 71 0.4× 95 0.7× 12 0.1× 89 0.9× 36 784

Countries citing papers authored by Lauren N. Randolph

Since Specialization
Citations

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

Fields of papers citing papers by Lauren N. Randolph

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lauren N. Randolph

This figure shows the co-authorship network connecting the top 25 collaborators of Lauren N. Randolph. A scholar is included among the top collaborators of Lauren N. Randolph 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 N. Randolph. Lauren N. Randolph 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.
Randolph, Lauren N., Claudia Castiglioni, Manuela Tavian, Christopher M. Sturgeon, & Andrea Ditadi. (2025). Bloodhounds chasing the origin of blood cells. Trends in Cell Biology. 35(12). 992–1006.
2.
Randolph, Lauren N., et al.. (2024). Direct programming of human pluripotent stem cells into endothelial progenitors with SOX17 and FGF2. Stem Cell Reports. 19(4). 579–595. 3 indexed citations
3.
Chang, Yun, Ramizah Syahirah, Stephanie N. Oprescu, et al.. (2022). Chemically-defined generation of human hemogenic endothelium and definitive hematopoietic progenitor cells. Biomaterials. 285. 121569–121569. 14 indexed citations
4.
Valsoni, Sara, Carissa Dege, Rebecca Scarfò, et al.. (2022). Identification of a retinoic acid-dependent haemogenic endothelial progenitor from human pluripotent stem cells. Nature Cell Biology. 24(5). 616–624. 17 indexed citations
5.
Jiang, Yuqian, Chuanxin Chen, Lauren N. Randolph, et al.. (2021). Generation of pancreatic progenitors from human pluripotent stem cells by small molecules. Stem Cell Reports. 16(9). 2395–2409. 18 indexed citations
6.
Kim, Gloria B., Lauren N. Randolph, Achuthamangalam B. Madhankumar, et al.. (2020). High-affinity mutant Interleukin-13 targeted CAR T cells enhance delivery of clickable biodegradable fluorescent nanoparticles to glioblastoma. Bioactive Materials. 5(3). 624–635. 51 indexed citations
7.
Jiang, Yuqian, Chuanxin Chen, Lauren N. Randolph, et al.. (2020). Generation of Pancreatic Progenitors from Human Pluripotent Stem Cells by Small Molecules. SSRN Electronic Journal. 1 indexed citations
8.
Chang, Yun, Lauren N. Randolph, Yufei Sun, et al.. (2020). Fluorescent indicators for continuous and lineage‐specific reporting of cell‐cycle phases in human pluripotent stem cells. Biotechnology and Bioengineering. 117(7). 2177–2186. 11 indexed citations
9.
Randolph, Lauren N., et al.. (2019). Sex-dependent VEGF expression underlies variations in human pluripotent stem cell to endothelial progenitor differentiation. Scientific Reports. 9(1). 16696–16696. 16 indexed citations
10.
Randolph, Lauren N., et al.. (2018). Human Beta Cells Generated from Pluripotent Stem Cells or Cellular Reprogramming for Curing Diabetes. Regenerative Engineering and Translational Medicine. 5(1). 42–52. 1 indexed citations
11.
Jiang, Yuqian, Yuxiao Zhou, Xiaoping Bao, et al.. (2018). An Ultrasensitive Calcium Reporter System via CRISPR-Cas9-Mediated Genome Editing in Human Pluripotent Stem Cells. iScience. 9. 27–35. 14 indexed citations
12.
Randolph, Lauren N., et al.. (2017). Stem Cell Engineering and Differentiation for Disease Modeling and Cell-based Therapies. 1(2). 140–157. 6 indexed citations
13.
Randolph, Lauren N., Xiaoping Bao, Chikai Zhou, & Xiaojun Lian. (2017). An all-in-one, Tet-On 3G inducible PiggyBac system for human pluripotent stem cells and derivatives. Scientific Reports. 7(1). 1549–1549. 40 indexed citations
14.
Lian, Xiaojun, Jiejia Xu, Xiaoping Bao, & Lauren N. Randolph. (2016). Interrogating Canonical Wnt Signaling Pathway in Human Pluripotent Stem Cell Fate Decisions Using CRISPR-Cas9. Cellular and Molecular Bioengineering. 9(3). 325–334. 5 indexed citations
15.
Bruckman, Michael A., et al.. (2016). Tobacco mosaic virus-based protein nanoparticles and nanorods for chemotherapy delivery targeting breast cancer. Journal of Controlled Release. 231. 103–113. 64 indexed citations
16.
Bruckman, Michael A., Lauren N. Randolph, Neetu M. Gulati, Phoebe L. Stewart, & Nicole F. Steinmetz. (2015). Silica-coated Gd(DOTA)-loaded protein nanoparticles enable magnetic resonance imaging of macrophages. Journal of Materials Chemistry B. 3(38). 7503–7510. 34 indexed citations
17.
Bruckman, Michael A., Kai Jiang, Lauren N. Randolph, et al.. (2014). Dual-Modal Magnetic Resonance and Fluorescence Imaging of Atherosclerotic Plaques in Vivo Using VCAM-1 Targeted Tobacco Mosaic Virus. Nano Letters. 14(3). 1551–1558. 141 indexed citations
18.

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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