Thomas P. Hasaka

876 total citations
11 papers, 544 citations indexed

About

Thomas P. Hasaka is a scholar working on Cell Biology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Thomas P. Hasaka has authored 11 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cell Biology, 4 papers in Molecular Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Thomas P. Hasaka's work include Microtubule and mitosis dynamics (4 papers), Axon Guidance and Neuronal Signaling (2 papers) and Image Processing Techniques and Applications (2 papers). Thomas P. Hasaka is often cited by papers focused on Microtubule and mitosis dynamics (4 papers), Axon Guidance and Neuronal Signaling (2 papers) and Image Processing Techniques and Applications (2 papers). Thomas P. Hasaka collaborates with scholars based in United States, Belgium and Pakistan. Thomas P. Hasaka's co-authors include Peter W. Baas, Kenneth A. Myers, Anne E. Carpenter, Mark‐Anthony Bray, Adam Fraser, Yan He, Ari D. Brooks, Fridoon Jawad Ahmad, Mark M. Black and Paul A. Clemons and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Thomas P. Hasaka

10 papers receiving 537 citations

Peers

Countries citing papers authored by Thomas P. Hasaka

Since Specialization

Citations

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

Fields of papers citing papers by Thomas P. Hasaka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas P. Hasaka. 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 Thomas P. Hasaka. The network helps show where Thomas P. Hasaka may publish in the future.

Co-authorship network of co-authors of Thomas P. Hasaka

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas P. Hasaka. A scholar is included among the top collaborators of Thomas P. Hasaka 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 Thomas P. Hasaka. Thomas P. Hasaka 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

#	Work	Indexed citations
1	3D collagen high-throughput screen identifies drugs that induce epithelial polarity and enhance chemotherapy response in colorectal cancer 2025 ·Communications Biology ·(unknown), Thomas P. Hasaka, (unknown), (unknown), Marisol Ramirez, (unknown), Zhiguo Zhao, Oleg Kovtun, (unknown), Qi Liu, Ken S. Lau, Robert J. Coffey, Joshua A. Bauer, Bhuminder Singh	0
2	A dataset of images and morphological profiles of 30 000 small-molecule treatments using the Cell Painting assay 2017 ·GigaScience ·Mark‐Anthony Bray, Sigrun Gustafsdottir, Mohammad Hossein Rohban, Shantanu Singh, Vebjorn Ljosa, Katherine L Sokolnicki, Joshua A. Bittker, Nicole E. Bodycombe, Vlado Dančík, Thomas P. Hasaka, (unknown), Melissa M. Kemp, Kejie Li, Deepika Walpita, Mathias J. Wawer, Todd R. Golub, Stuart L. Schreiber, Paul A. Clemons, Alykhan F. Shamji, Anne E. Carpenter	110
3	A high-throughput small molecule screen identifies synergism between DNA methylation and Aurora kinase pathways for X reactivation 2016 ·Proceedings of the National Academy of Sciences ·Derek Lessing, (unknown), Chunyao Wei, Bernhard Payer, Lieselot L. G. Carrette, Barry Kesner, Attila Szántó, Ajit Jadhav, David J. Maloney, Anton Simeonov, Jimmy R. Thériault, Thomas P. Hasaka, Antonio Bedalov, Marisa S. Bartolomei, Jeannie T. Lee	25
4	A Chemical Screen Probing the Relationship between Mitochondrial Content and Cell Size 2012 ·PLoS ONE ·Toshimori Kitami, David J. Logan, Joseph Negri, Thomas P. Hasaka, Nicola Tolliday, Anne E. Carpenter, Bruce M. Spiegelman, Vamsi K. Mootha	45
5	A Human Islet Cell Culture System for High-Throughput Screening 2011 ·SLAS DISCOVERY ·Deepika Walpita, Thomas P. Hasaka, James Spoonamore, Amedeo Vetere, Karen K. Takane, Dina Fomina‐Yadlin, Nathalie Fiaschi‐Taesch, Alykhan F. Shamji, Paul A. Clemons, Andrew F. Stewart, Stuart L. Schreiber, Bridget K. Wagner	44
6	Workflow and Metrics for Image Quality Control in Large-Scale High-Content Screens 2011 ·SLAS DISCOVERY ·Mark‐Anthony Bray, Adam Fraser, Thomas P. Hasaka, Anne E. Carpenter	72
7	Microtubule Transport in the Axon: Re-thinking a Potential Role for the Actin Cytoskeleton 2006 ·The Neuroscientist ·Kenneth A. Myers, Yan He, Thomas P. Hasaka, Peter W. Baas	32
8	Effects of Dynactin Disruption and Dynein Depletion on Axonal Microtubules 2006 ·Traffic ·Fridoon Jawad Ahmad, Yan He, Kenneth A. Myers, Thomas P. Hasaka, (unknown), Mark M. Black, Peter W. Baas	69
9	Role of Actin Filaments in the Axonal Transport of Microtubules 2004 ·Journal of Neuroscience ·Thomas P. Hasaka, Kenneth A. Myers, Peter W. Baas	66
10	Monastrol, a prototype anti‐cancer drug that inhibits a mitotic kinesin, induces rapid bursts of axonal outgrowth from cultured postmitotic neurons 2004 ·Cell Motility and the Cytoskeleton ·(unknown), Thomas P. Hasaka, Ari D. Brooks, (unknown), Peter W. Baas	72
11	Automated analysis of spontaneous motor activity in the embryonic zebrafish, Danio rerio 1997 ·Paul Z. Myers, (unknown), Thomas P. Hasaka, (unknown)	9

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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