Scott Cribbes

717 total citations
9 papers, 408 citations indexed

About

Scott Cribbes is a scholar working on Biophysics, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Scott Cribbes has authored 9 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Biophysics, 4 papers in Biomedical Engineering and 3 papers in Molecular Biology. Recurrent topics in Scott Cribbes's work include Cell Image Analysis Techniques (6 papers), 3D Printing in Biomedical Research (4 papers) and Mathematical Biology Tumor Growth (3 papers). Scott Cribbes is often cited by papers focused on Cell Image Analysis Techniques (6 papers), 3D Printing in Biomedical Research (4 papers) and Mathematical Biology Tumor Growth (3 papers). Scott Cribbes collaborates with scholars based in United Kingdom, United States and Netherlands. Scott Cribbes's co-authors include Sarah Kessel, Leo Li‐Ying Chan, Jean Qiu, Olivier Déry, Victor Appay, Lloyd G. Czaplewski, Dmitry Kuksin, R. J. H. L. M. van Gurp, Leendert H. J. Looijenga and J. Wolter Oosterhuis and has published in prestigious journals such as Journal of Biological Chemistry, Blood and Cancer Research.

In The Last Decade

Scott Cribbes

9 papers receiving 393 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Scott Cribbes United Kingdom 8 177 141 87 86 62 9 408
Amanda McWatters United States 14 221 1.2× 191 1.4× 112 1.3× 110 1.3× 36 0.6× 27 538
Johanne Leroy‐Dudal France 14 255 1.4× 148 1.0× 65 0.7× 120 1.4× 37 0.6× 28 587
Katharina Jechow Germany 8 275 1.6× 243 1.7× 57 0.7× 120 1.4× 19 0.3× 13 535
Stefania Forti Italy 9 232 1.3× 139 1.0× 85 1.0× 73 0.8× 17 0.3× 10 523
Gökhan Günay United States 13 196 1.1× 63 0.4× 204 2.3× 154 1.8× 27 0.4× 20 554
Jess D. Hebert United States 9 222 1.3× 190 1.3× 90 1.0× 111 1.3× 52 0.8× 13 564
Estelle Chanudet United Kingdom 11 233 1.3× 223 1.6× 136 1.6× 113 1.3× 43 0.7× 12 709
RK Jain India 9 155 0.9× 99 0.7× 53 0.6× 124 1.4× 38 0.6× 38 589
Burak Dura United States 7 311 1.8× 199 1.4× 157 1.8× 310 3.6× 17 0.3× 9 702
Berina Eppink Netherlands 8 517 2.9× 182 1.3× 17 0.2× 202 2.3× 45 0.7× 12 776

Countries citing papers authored by Scott Cribbes

Since Specialization
Citations

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

Fields of papers citing papers by Scott Cribbes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott Cribbes

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

All Works

9 of 9 papers shown
2.
Kessel, Sarah, et al.. (2017). Real-Time Apoptosis and Viability High-Throughput Screening of 3D Multicellular Tumor Spheroids Using the Celigo Image Cytometer. SLAS DISCOVERY. 23(2). 202–210. 9 indexed citations
3.
Kessel, Sarah, et al.. (2017). Real‐time viability and apoptosis kinetic detection method of 3D multicellular tumor spheroids using the Celigo Image Cytometer. Cytometry Part A. 91(9). 883–892. 23 indexed citations
4.
Chan, Leo Li‐Ying, Tim Smith, Dmitry Kuksin, et al.. (2016). A high-throughput AO/PI-based cell concentration and viability detection method using the Celigo image cytometry. Cytotechnology. 68(5). 2015–2025. 44 indexed citations
5.
Kessel, Sarah, Scott Cribbes, Olivier Déry, et al.. (2016). High-Throughput 3D Tumor Spheroid Screening Method for Cancer Drug Discovery Using Celigo Image Cytometry. SLAS TECHNOLOGY. 22(4). 454–465. 67 indexed citations
6.
Chan, Leo Li‐Ying, Scott Cribbes, Maria Cristina Vinci, et al.. (2015). Abstract 314: A rapid 3D tumor spheroid analysis method using the Celigo imaging cytometry. Cancer Research. 75(15_Supplement). 314–314. 1 indexed citations
7.
Gillis, Ad, Hans Stoop, Katharina Biermann, et al.. (2011). Expression and interdependencies of pluripotency factors LIN28, OCT3/4, NANOG and SOX2 in human testicular germ cells and tumours of the testis. International Journal of Andrology. 34(4pt2). e160–74. 118 indexed citations
8.
Appay, Victor, et al.. (1999). Aggregation of RANTES Is Responsible for Its Inflammatory Properties. Journal of Biological Chemistry. 274(39). 27505–27512. 69 indexed citations
9.
Bawden, Lindsay J., et al.. (1995). BB-10010: an active variant of human macrophage inflammatory protein-1 alpha with improved pharmaceutical properties. Blood. 86(12). 4400–4408. 55 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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