Nicholas Noll

546 total citations
10 papers, 243 citations indexed

About

Nicholas Noll is a scholar working on Molecular Biology, Cell Biology and Biomedical Engineering. According to data from OpenAlex, Nicholas Noll has authored 10 papers receiving a total of 243 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Cell Biology and 2 papers in Biomedical Engineering. Recurrent topics in Nicholas Noll's work include Cellular Mechanics and Interactions (3 papers), 3D Printing in Biomedical Research (2 papers) and Elasticity and Material Modeling (1 paper). Nicholas Noll is often cited by papers focused on Cellular Mechanics and Interactions (3 papers), 3D Printing in Biomedical Research (2 papers) and Elasticity and Material Modeling (1 paper). Nicholas Noll collaborates with scholars based in United States, Switzerland and China. Nicholas Noll's co-authors include Sebastian J. Streichan, Boris I. Shraiman, Eric Wieschaus, Madhav Mani, Idse Heemskerk, Richard A. Neher, Liam P. Shaw, Sivan Bercovici, Susan C. Low and Kerry Crisalli and has published in prestigious journals such as Nature Communications, Nature Physics and Journal of Clinical Microbiology.

In The Last Decade

Nicholas Noll

8 papers receiving 242 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicholas Noll United States 5 167 82 54 50 24 10 243
Poulami Somanya Ganguly Netherlands 3 263 1.6× 178 2.2× 78 1.4× 40 0.8× 24 1.0× 6 382
Marie-Josée Colbert Canada 6 185 1.1× 160 2.0× 34 0.6× 39 0.8× 24 1.0× 8 322
Anaïs Bailles France 4 227 1.4× 93 1.1× 125 2.3× 40 0.8× 21 0.9× 5 310
Daisuke Taniguchi Japan 9 159 1.0× 106 1.3× 91 1.7× 119 2.4× 21 0.9× 9 328
Lakshmi Balasubramaniam Singapore 7 155 0.9× 148 1.8× 26 0.5× 92 1.8× 69 2.9× 19 313
Katsuhiko Sato Japan 10 134 0.8× 134 1.6× 70 1.3× 40 0.8× 8 0.3× 26 347
Andrea Jiménez-Dalmaroni Germany 5 257 1.5× 104 1.3× 137 2.5× 48 1.0× 8 0.3× 5 394
Pearson W. Miller United States 8 164 1.0× 56 0.7× 89 1.6× 59 1.2× 50 2.1× 17 313
Todd Thoresen United States 6 295 1.8× 73 0.9× 62 1.1× 105 2.1× 23 1.0× 7 340
David Humphrey United States 3 246 1.5× 101 1.2× 39 0.7× 95 1.9× 16 0.7× 5 329

Countries citing papers authored by Nicholas Noll

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Noll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Noll

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

All Works

10 of 10 papers shown
1.
León‐Sampedro, Ricardo, et al.. (2025). Multi-layered ecological interactions determine growth of clinical antibiotic-resistant strains within human microbiomes. Nature Communications. 16(1). 9733–9733.
2.
Fishman, Jay A., Joseph El Khoury, Tatsuo Kawai, et al.. (2025). Infectious disease surveillance and management in clinical xenotransplantation: Experience with the first human porcine kidney transplant. American Journal of Transplantation. 25(11). 2451–2457. 1 indexed citations
3.
Kale, Shiv D., Paul Babb, Nicholas Noll, & Sivan Bercovici. (2024). LIQUID-BIOPSY FOR ASSESSING SEVERITY OF INFLAMMATORY BOWEL DISEASE VIA PLASMA MICROBIAL CELL-FREE DNA. Inflammatory Bowel Diseases. 30(Supplement_1). S14–S14. 1 indexed citations
4.
Christians, Fred C., Kristin H. Jarman, Shivkumar Venkatasubrahmanyam, et al.. (2024). Analytical and clinical validation of direct detection of antimicrobial resistance markers by plasma microbial cell-free DNA sequencing. Journal of Clinical Microbiology. 62(10). e0042524–e0042524. 5 indexed citations
5.
Park, Sarah Y., Martin Lindner, Kevin Brick, et al.. (2023). Detection of Mpox Virus Using Microbial Cell-Free DNA: The Potential of Pathogen-Agnostic Sequencing for Rapid Identification of Emerging Pathogens. The Journal of Infectious Diseases. 229(Supplement_2). S144–S155. 2 indexed citations
6.
Noll, Nicholas, et al.. (2023). PanGraph: scalable bacterial pan-genome graph construction. Microbial Genomics. 9(6). 13 indexed citations
7.
Noll, Nicholas, Sebastian J. Streichan, & Boris I. Shraiman. (2020). Variational Method for Image-Based Inference of Internal Stress in Epithelial Tissues. Physical Review X. 10(1). 20 indexed citations
8.
Streichan, Sebastian J., et al.. (2018). Global morphogenetic flow is accurately predicted by the spatial distribution of myosin motors. eLife. 7. 126 indexed citations
9.
Noll, Nicholas, Madhav Mani, Idse Heemskerk, Sebastian J. Streichan, & Boris I. Shraiman. (2017). Active tension network model suggests an exotic mechanical state realized in epithelial tissues. Nature Physics. 13(12). 1221–1226. 74 indexed citations
10.
Noll, Nicholas, et al.. (2015). Active Tension Network model reveals an exotic mechanical state realized in epithelial tissues. arXiv (Cornell University). 2017. 1 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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2026