William D. Leineweber

929 total citations
10 papers, 655 citations indexed

About

William D. Leineweber is a scholar working on Biomedical Engineering, Cell Biology and Molecular Biology. According to data from OpenAlex, William D. Leineweber has authored 10 papers receiving a total of 655 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 5 papers in Cell Biology and 3 papers in Molecular Biology. Recurrent topics in William D. Leineweber's work include 3D Printing in Biomedical Research (5 papers), Cellular Mechanics and Interactions (4 papers) and Neuroscience and Neural Engineering (3 papers). William D. Leineweber is often cited by papers focused on 3D Printing in Biomedical Research (5 papers), Cellular Mechanics and Interactions (4 papers) and Neuroscience and Neural Engineering (3 papers). William D. Leineweber collaborates with scholars based in United States, Switzerland and Netherlands. William D. Leineweber's co-authors include Olivier Henry, Donald E. Ingber, Michael J. Cronce, Rémi Villenave, Kevin Kit Parker, John M. Doyle, Anna Herland, Moran Yadid, Edward A. Fitzgerald and Ben M. Maoz and has published in prestigious journals such as Nature Reviews Molecular Cell Biology, Developmental Cell and Lab on a Chip.

In The Last Decade

William D. Leineweber

9 papers receiving 643 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William D. Leineweber United States 4 569 244 121 51 44 10 655
Marinke W. van der Helm Netherlands 7 619 1.1× 251 1.0× 156 1.3× 73 1.4× 37 0.8× 8 763
Sarah Spitz Austria 13 417 0.7× 113 0.5× 108 0.9× 27 0.5× 81 1.8× 32 607
Christoph Eilenberger Austria 10 356 0.6× 72 0.3× 99 0.8× 72 1.4× 52 1.2× 16 490
Mengdan Tao China 9 193 0.3× 99 0.4× 287 2.4× 57 1.1× 45 1.0× 15 556
Karl Firth United Kingdom 3 389 0.7× 141 0.6× 259 2.1× 32 0.6× 109 2.5× 7 591
Sebastian Rudi Adam Kratz Austria 9 347 0.6× 100 0.4× 76 0.6× 40 0.8× 35 0.8× 13 480
Patrick M. Misun Switzerland 14 715 1.3× 130 0.5× 161 1.3× 83 1.6× 97 2.2× 21 849
Anup D. Sharma United States 11 292 0.5× 255 1.0× 120 1.0× 25 0.5× 68 1.5× 19 532
Mathias Busek Germany 11 747 1.3× 148 0.6× 184 1.5× 67 1.3× 97 2.2× 28 863
Barbara Bachmann Austria 10 382 0.7× 82 0.3× 74 0.6× 35 0.7× 83 1.9× 15 531

Countries citing papers authored by William D. Leineweber

Since Specialization
Citations

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

Fields of papers citing papers by William D. Leineweber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William D. Leineweber. 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 William D. Leineweber. The network helps show where William D. Leineweber may publish in the future.

Co-authorship network of co-authors of William D. Leineweber

This figure shows the co-authorship network connecting the top 25 collaborators of William D. Leineweber. A scholar is included among the top collaborators of William D. Leineweber 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 William D. Leineweber. William D. Leineweber 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.
Leineweber, William D., et al.. (2026). Technologies to measure and modulate protein subcellular localization. Nature Reviews Molecular Cell Biology. 1 indexed citations
2.
Leineweber, William D., et al.. (2025). Holotomographic microscopy reveals label-free quantitative dynamics of endothelial cells during endothelialization. European Journal of Cell Biology. 104(2). 151492–151492.
3.
Leineweber, William D., et al.. (2024). Divergent iron regulatory states contribute to heterogeneity in breast cancer aggressiveness. iScience. 27(9). 110661–110661. 2 indexed citations
4.
Langouche, Lies, Mridu Sinha, Hannah Mack, et al.. (2024). Machine learning based DNA melt curve profiling enables automated novel genotype detection. BMC Bioinformatics. 25(1). 185–185. 2 indexed citations
5.
Leineweber, William D., et al.. (2024). Global versus local matrix remodeling drives rotational versus invasive collective migration of epithelial cells. Developmental Cell. 60(6). 871–884.e8. 1 indexed citations
6.
Leineweber, William D.. (2023). Integrated biophysical imaging of cell interactions with 3D extracellular matrices. Nature Reviews Molecular Cell Biology. 24(11). 773–773. 2 indexed citations
7.
Leineweber, William D. & Stephanie I. Fraley. (2023). Adhesion tunes speed and persistence by coordinating protrusions and extracellular matrix remodeling. Developmental Cell. 58(15). 1414–1428.e4. 7 indexed citations
8.
Helm, Marinke W. van der, Olivier Henry, Amir Bein, et al.. (2019). Non-invasive sensing of transepithelial barrier function and tissue differentiation in organs-on-chips using impedance spectroscopy. Lab on a Chip. 19(3). 452–463. 123 indexed citations
9.
Maoz, Ben M., Anna Herland, Olivier Henry, et al.. (2017). Organs-on-Chips with combined multi-electrode array and transepithelial electrical resistance measurement capabilities. Lab on a Chip. 17(13). 2294–2302. 194 indexed citations
10.

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