Peter Loskill

5.1k total citations · 1 hit paper
65 papers, 3.6k citations indexed

About

Peter Loskill is a scholar working on Biomedical Engineering, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Peter Loskill has authored 65 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Biomedical Engineering, 23 papers in Molecular Biology and 18 papers in Cellular and Molecular Neuroscience. Recurrent topics in Peter Loskill's work include 3D Printing in Biomedical Research (37 papers), Neuroscience and Neural Engineering (17 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (11 papers). Peter Loskill is often cited by papers focused on 3D Printing in Biomedical Research (37 papers), Neuroscience and Neural Engineering (17 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (11 papers). Peter Loskill collaborates with scholars based in Germany, United States and Netherlands. Peter Loskill's co-authors include Kevin E. Healy, Anurag Mathur, Christopher Probst, Julia Rogal, Bruce R. Conklin, Nathaniel Huebsch, Zhen Ma, Stefan Schneider, Katja Schenke‐Layland and Karin Jacobs and has published in prestigious journals such as Physical Review Letters, Advanced Materials and Nature Communications.

In The Last Decade

Peter Loskill

64 papers receiving 3.6k 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.

Human iPSC-based Cardiac Microphysiological System For Drug Screening Applications

2015 386 citations Anurag Mathur, Peter Loskill et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter Loskill Germany	34	2.3k	1.2k	740	672	340	65	3.6k
Megan L. McCain United States	25	2.0k 0.9×	936 0.8×	750 1.0×	639 1.0×	440 1.3×	57	3.3k
Benjamin D. Matthews United States	18	3.7k 1.6×	1.2k 1.0×	544 0.7×	521 0.8×	474 1.4×	22	5.5k
Yun Xiao China	22	1.0k 0.4×	893 0.7×	788 1.1×	345 0.5×	702 2.1×	54	2.6k
Boyang Zhang Canada	27	3.2k 1.4×	1.2k 1.0×	1.2k 1.7×	681 1.0×	836 2.5×	114	4.5k
Ashutosh Agarwal United States	27	1.2k 0.5×	598 0.5×	502 0.7×	321 0.5×	347 1.0×	67	2.5k
William J. Polacheck United States	25	2.2k 1.0×	1.2k 0.9×	505 0.7×	210 0.3×	408 1.2×	58	4.0k
Hirokazu Kaji Japan	39	3.1k 1.3×	810 0.7×	613 0.8×	663 1.0×	799 2.4×	120	4.4k
Edmond W. K. Young Canada	33	3.5k 1.6×	810 0.7×	314 0.4×	334 0.5×	246 0.7×	77	4.5k
Nathan J. Sniadecki United States	35	2.5k 1.1×	1.7k 1.4×	866 1.2×	525 0.8×	447 1.3×	86	5.1k
Elena Garreta Spain	22	1.0k 0.5×	2.6k 2.1×	811 1.1×	213 0.3×	389 1.1×	44	4.9k

Countries citing papers authored by Peter Loskill

Since Specialization

Citations

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

Fields of papers citing papers by Peter Loskill

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Loskill

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Urbanczyk, Max, et al.. (2024). Heterogeneity of Endothelial Cells Impacts the Functionality of Human Pancreatic In Vitro Models. Tissue Engineering Part A. 31(13-14). 988–1004. 1 indexed citations

Cipriano, Madalena, et al.. (2024). Microphysiological pancreas-on-chip platform with integrated sensors to model endocrine function and metabolism. Lab on a Chip. 24(7). 2080–2093. 15 indexed citations

Toerne, Christine von, Andreas L. Birkenfeld, Andreas Peter, et al.. (2024). IGF1 promotes human myotube differentiation toward a mature metabolic and contractile phenotype. American Journal of Physiology-Cell Physiology. 326(5). C1462–C1481. 4 indexed citations

Loskill, Peter, et al.. (2024). Cancer-mediated axonal guidance of sensory neurons in a microelectrode-based innervation MPS. Biofabrication. 16(2). 25013–25013. 4 indexed citations

Liu, Huiyu, et al.. (2023). Immunocompetent PDMS‐Free Organ‐on‐Chip Model of Cervical Cancer Integrating Patient‐Specific Cervical Fibroblasts and Neutrophils. Advanced Healthcare Materials. 13(21). e2302714–e2302714. 7 indexed citations

Maaß, Christian, Madalena Cipriano, Joeri Lambrecht, et al.. (2022). Studying metabolism with multi-organ chips: new tools for disease modelling, pharmacokinetics and pharmacodynamics. Open Biology. 12(3). 210333–210333. 33 indexed citations

Marzi, Julia, Matthias B. Stope, Melanie Henes, et al.. (2022). Noninvasive Physical Plasma as Innovative and Tissue-Preserving Therapy for Women Positive for Cervical Intraepithelial Neoplasia. Cancers. 14(8). 1933–1933. 29 indexed citations

Cipriano, Madalena, Christopher Probst, Martin Weiß, et al.. (2022). Human immunocompetent choroid-on-chip: a novel tool for studying ocular effects of biological drugs. Communications Biology. 5(1). 52–52. 20 indexed citations

Urbanczyk, Max, et al.. (2021). Development of a bi-layered cryogenic electrospun polylactic acid scaffold to study calcific aortic valve disease in a 3D co-culture model. Acta Biomaterialia. 140. 364–378. 12 indexed citations

10.

Rogal, Julia, et al.. (2021). The Inflammatory Profile of Obesity and the Role on Pulmonary Bacterial and Viral Infections. International Journal of Molecular Sciences. 22(7). 3456–3456. 25 indexed citations

11.

Zbinden, Aline, Max Urbanczyk, Shannon L. Layland, et al.. (2020). Collagen and Endothelial Cell Coculture Improves β-Cell Functionality and Rescues Pancreatic Extracellular Matrix. Tissue Engineering Part A. 27(13-14). 977–991. 20 indexed citations

12.

Harten, Wim H. van, et al.. (2019). Impact of organ-on-a-chip technology on pharmaceutical R&D costs. Drug Discovery Today. 24(9). 1720–1724. 121 indexed citations

13.

Schneider, Oliver, et al.. (2019). User-Friendly and Parallelized Generation of Human Induced Pluripotent Stem Cell-Derived Microtissues in a Centrifugal Heart-on-a-Chip. Tissue Engineering Part A. 25(9-10). 786–798. 53 indexed citations

14.

Achberger, Kevin, Christopher Probst, Jasmin Haderspeck, et al.. (2019). Merging organoid and organ-on-a-chip technology to generate complex multi-layer tissue models in a human retina-on-a-chip platform. eLife. 8. 280 indexed citations

15.

Haderspeck, Jasmin, Johanna Chuchuy, Stefan Kustermann, Stefan Liebau, & Peter Loskill. (2018). Organ-on-a-chip technologies that can transform ophthalmic drug discovery and disease modeling. Expert Opinion on Drug Discovery. 14(1). 47–57. 44 indexed citations

16.

Loskill, Peter, Kevin M. Tharp, Felipe T. Lee-Montiel, et al.. (2017). WAT-on-a-chip: a physiologically relevant microfluidic system incorporating white adipose tissue. Lab on a Chip. 17(9). 1645–1654. 81 indexed citations

17.

Loskill, Peter, et al.. (2016). Organs-on-a-chip – Microphysiological platforms as in vitro models of cardiac and adipose tissue. Toxicology Letters. 258. S153–S153. 2 indexed citations

18.

Thewes, Nicolas, et al.. (2015). A detailed guideline for the fabrication of single bacterial probes used for atomic force spectroscopy. The European Physical Journal E. 38(12). 140–140. 27 indexed citations

19.

Loskill, Peter, Sivan G. Marcus, Anurag Mathur, Willie Mae Reese, & Kevin E. Healy. (2015). μOrgano: A Lego®-Like Plug & Play System for Modular Multi-Organ-Chips. PLoS ONE. 10(10). e0139587–e0139587. 85 indexed citations

20.

Huebsch, Nathaniel, Peter Loskill, Mohammad A. Mandegar, et al.. (2014). Automated Video-Based Analysis of Contractility and Calcium Flux in Human-Induced Pluripotent Stem Cell-Derived Cardiomyocytes Cultured over Different Spatial Scales. Tissue Engineering Part C Methods. 21(5). 467–479. 226 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.

Explore authors with similar magnitude of impact