Richard Kasprowicz

403 total citations
11 papers, 234 citations indexed

About

Richard Kasprowicz is a scholar working on Biophysics, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Richard Kasprowicz has authored 11 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Biophysics, 3 papers in Molecular Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Richard Kasprowicz's work include Cell Image Analysis Techniques (3 papers), Advanced Fluorescence Microscopy Techniques (3 papers) and Digital Holography and Microscopy (2 papers). Richard Kasprowicz is often cited by papers focused on Cell Image Analysis Techniques (3 papers), Advanced Fluorescence Microscopy Techniques (3 papers) and Digital Holography and Microscopy (2 papers). Richard Kasprowicz collaborates with scholars based in United Kingdom, United States and Netherlands. Richard Kasprowicz's co-authors include Rakesh Suman, Peter O’Toole, Nathalie Signoret, James M. Fox, Michaela Nelson, Andrew D. James, Ming Yang, William J. Brackenbury, Oliver Hartley and Gregory P. Way and has published in prestigious journals such as Bioinformatics, Scientific Reports and Journal of Cellular Physiology.

In The Last Decade

Richard Kasprowicz

10 papers receiving 230 citations

Peers

Richard Kasprowicz

BIOPH

AMPO

ONCOL

Melody Di Bona Italy

Feimo Shen United States

Tim Kaminski Germany

Nigel Chou Singapore

Andreea Lucia Stancu United States

Glen Beane United States

J. Mayer Spain

Yael Paran Israel

Hana Uhlířová Czechia

Emilio González‐Arnay Spain

Melody Di Bona Italy

Richard Kasprowicz

130 ×1.2

90 ×1.4

BIOPH

24 ×0.5

AMPO

27 ×0.6

25 ×1.0

ONCOL

Citations per year, relative to Richard Kasprowicz Richard Kasprowicz (= 1×) peers Melody Di Bona

Countries citing papers authored by Richard Kasprowicz

Since Specialization

Citations

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

Fields of papers citing papers by Richard Kasprowicz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Kasprowicz

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

All Works

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11 of 11 papers shown

Kasprowicz, Richard, et al.. (2024). Implementing enclosed sterile integrated robotic platforms to improve cell-based screening for drug discovery. SLAS TECHNOLOGY. 30. 100230–100230.

Wallace, I. R., J Bayliss, Andrew J. Brown, et al.. (2023). CardioMotion: identification of functional and structural cardiotoxic liabilities in small molecules through brightfield kinetic imaging. Toxicological Sciences. 195(1). 61–70. 6 indexed citations

Shave, Steven, et al.. (2023). Phenonaut: multiomics data integration for phenotypic space exploration. Bioinformatics. 39(4). 4 indexed citations

Way, Gregory P., Heba Sailem, Steven Shave, Richard Kasprowicz, & Neil O. Carragher. (2023). Evolution and impact of high content imaging. SLAS DISCOVERY. 28(7). 292–305. 19 indexed citations

Kasprowicz, Richard, et al.. (2021). Epithelial Barrier Integrity Profiling: Combined Approach Using Cellular Junctional Complex Imaging and Transepithelial Electrical Resistance. SLAS DISCOVERY. 26(7). 909–921. 12 indexed citations

Yang, Ming, Andrew D. James, Rakesh Suman, et al.. (2019). Voltage‐dependent activation of Rac1 by Na _v 1.5 channels promotes cell migration. Journal of Cellular Physiology. 235(4). 3950–3972. 42 indexed citations

Kasprowicz, Richard, et al.. (2018). A correlative and quantitative imaging approach enabling characterization of primary cell-cell communication: Case of human CD4+ T cell-macrophage immunological synapses. Scientific Reports. 8(1). 8003–8003. 2 indexed citations

Kasprowicz, Richard, Rakesh Suman, & Peter O’Toole. (2017). Characterising live cell behaviour: Traditional label-free and quantitative phase imaging approaches. The International Journal of Biochemistry & Cell Biology. 84. 89–95. 83 indexed citations

Frame, Fiona M., et al.. (2017). Tumor heterogeneity and therapy resistance - implications for future treatments of prostate cancer. Journal of Cancer Metastasis and Treatment. 3(12). 302–302. 19 indexed citations

10.

Suman, Rakesh, et al.. (2016). Label-free imaging to study phenotypic behavioural traits of cells in complex co-cultures. Scientific Reports. 6(1). 22032–22032. 24 indexed citations

11.

Fox, James M., Richard Kasprowicz, Oliver Hartley, & Nathalie Signoret. (2015). CCR5 susceptibility to ligand-mediated down-modulation differs between human T lymphocytes and myeloid cells. Journal of Leukocyte Biology. 98(1). 59–71. 23 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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