Lee Kamentsky

5.0k total citations · 2 hit papers
21 papers, 2.9k citations indexed

About

Lee Kamentsky is a scholar working on Biophysics, Molecular Biology and Parasitology. According to data from OpenAlex, Lee Kamentsky has authored 21 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Biophysics, 11 papers in Molecular Biology and 4 papers in Parasitology. Recurrent topics in Lee Kamentsky's work include Cell Image Analysis Techniques (13 papers), Single-cell and spatial transcriptomics (6 papers) and Parasites and Host Interactions (4 papers). Lee Kamentsky is often cited by papers focused on Cell Image Analysis Techniques (13 papers), Single-cell and spatial transcriptomics (6 papers) and Parasites and Host Interactions (4 papers). Lee Kamentsky collaborates with scholars based in United States, United Kingdom and Sweden. Lee Kamentsky's co-authors include Anne E. Carpenter, Louis A. Kamentsky, Kevin W. Eliceiri, Mark‐Anthony Bray, Derek Thirstrup, Liya Ding, Claire McQuin, Kyle W. Karhohs, Thouis R. Jones and Shantanu Singh and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and Bioinformatics.

In The Last Decade

Lee Kamentsky

20 papers receiving 2.8k citations

Hit Papers

CellProfiler 3.0: Next-generation image proces... 2011 2026 2016 2021 2018 2011 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lee Kamentsky United States 13 1.5k 984 329 280 246 21 2.9k
Allen Goodman United States 12 1.4k 0.9× 1.1k 1.1× 301 0.9× 297 1.1× 242 1.0× 18 3.1k
Mark‐Anthony Bray United States 24 1.2k 0.8× 656 0.7× 418 1.3× 483 1.7× 254 1.0× 37 2.8k
Kyle W. Karhohs United States 10 1.5k 1.0× 850 0.9× 304 0.9× 215 0.8× 404 1.6× 14 2.7k
Beth A. Cimini United States 16 3.0k 1.9× 1.1k 1.1× 409 1.2× 293 1.0× 293 1.2× 44 4.6k
Joseph Chang United States 12 2.5k 1.6× 1.3k 1.4× 581 1.8× 428 1.5× 349 1.4× 13 4.4k
Holger Erfle Germany 28 1.8k 1.2× 614 0.6× 407 1.2× 255 0.9× 132 0.5× 87 2.8k
Carolina Wählby Sweden 26 1.7k 1.1× 943 1.0× 228 0.7× 343 1.2× 194 0.8× 101 3.2k
Susanne M. Rafelski United States 21 1.7k 1.1× 575 0.6× 466 1.4× 248 0.9× 132 0.5× 31 2.6k
Vannary Meas‐Yedid France 24 834 0.5× 593 0.6× 386 1.2× 226 0.8× 119 0.5× 47 2.6k
Winfried Wiegraebe United States 9 1.1k 0.7× 448 0.5× 269 0.8× 187 0.7× 197 0.8× 11 2.1k

Countries citing papers authored by Lee Kamentsky

Since Specialization
Citations

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

Fields of papers citing papers by Lee Kamentsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lee Kamentsky

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

All Works

20 of 20 papers shown
1.
Kamentsky, Lee, Giacomo Mazzamuto, Alberto Lazari, et al.. (2022). Microscopy-BIDS: An Extension to the Brain Imaging Data Structure for Microscopy Data. Frontiers in Neuroscience. 16. 871228–871228. 10 indexed citations
2.
Roy, Dheeraj S., Young-Gyun Park, Ying Zhang, et al.. (2022). Brain-wide mapping reveals that engrams for a single memory are distributed across multiple brain regions. Nature Communications. 13(1). 1799–1799. 119 indexed citations
3.
Gjesteby, Lars, et al.. (2022). Axon Tracing and Centerline Detection using Topologically-Aware 3D U-Nets. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2022. 238–242. 4 indexed citations
4.
Lin, Zudi, Donglai Wei, Won-Dong Jang, et al.. (2020). Two Stream Active Query Suggestion for Active Learning in Connectomics. Lecture notes in computer science. 12363. 103–120. 10 indexed citations
5.
Melo‐Filho, Cleber C., Mário Roberto Senger, Rodolpho C. Braga, et al.. (2020). QSAR-Driven Discovery of Novel Chemical Scaffolds Active against Schistosoma mansoni. Figshare.
6.
McQuin, Claire, Allen Goodman, Vasiliy S. Chernyshev, et al.. (2018). CellProfiler 3.0: Next-generation image processing for biology. PLoS Biology. 16(7). e2005970–e2005970. 1172 indexed citations breakdown →
7.
Haehn, Daniel, Ali K. Al-Awami, Lee Kamentsky, et al.. (2017). Scalable Interactive Visualization for Connectomics. Informatics. 4(3). 29–29. 16 indexed citations
8.
Melo‐Filho, Cleber C., Rafael Ferreira Dantas, Rodolpho C. Braga, et al.. (2016). QSAR-Driven Discovery of Novel Chemical Scaffolds Active against Schistosoma mansoni. Journal of Chemical Information and Modeling. 56(7). 1357–1372. 41 indexed citations
9.
Hennig, Holger, Paul Rees, Thomas Blasi, et al.. (2016). An open-source solution for advanced imaging flow cytometry data analysis using machine learning. Methods. 112. 201–210. 73 indexed citations
10.
Neves, Bruno J., Rafael Ferreira Dantas, Mário Roberto Senger, et al.. (2016). The antidepressant drug paroxetine as a new lead candidate in schistosome drug discovery. MedChemComm. 7(6). 1176–1182. 12 indexed citations
11.
Neves, Bruno J., Rafael Ferreira Dantas, Mário Roberto Senger, et al.. (2016). Discovery of New Anti-Schistosomal Hits by Integration of QSAR-Based Virtual Screening and High Content Screening. Journal of Medicinal Chemistry. 59(15). 7075–7088. 61 indexed citations
12.
Metelo, Ana M., Xiang Li, Youngnam N. Jin, et al.. (2015). Pharmacological HIF2α inhibition improves VHL disease–associated phenotypes in zebrafish model. Journal of Clinical Investigation. 125(5). 1987–1997. 38 indexed citations
13.
Wählby, Carolina, Annie L. Conery, Mark‐Anthony Bray, et al.. (2014). High- and low-throughput scoring of fat mass and body fat distribution in C. elegans. Methods. 68(3). 492–499. 54 indexed citations
14.
Carpenter, Anne E., Lee Kamentsky, & Kevin W. Eliceiri. (2012). A call for bioimaging software usability. Nature Methods. 9(7). 666–670. 95 indexed citations
15.
Wählby, Carolina, Lee Kamentsky, Tammy Riklin Raviv, et al.. (2012). An image analysis toolbox for high-throughput C. elegans assays. Nature Methods. 9(7). 714–716. 6 indexed citations
16.
Kamentsky, Lee, Thouis R. Jones, Adam Fraser, et al.. (2011). Improved structure, function and compatibility for CellProfiler: modular high-throughput image analysis software. Bioinformatics. 27(8). 1179–1180. 765 indexed citations breakdown →
17.
Kamentsky, Louis A., et al.. (1997). Methods for automatic multiparameter analysis of fluorescence in situ hybridized specimens with a laser scanning cytometer. Cytometry. 27(2). 117–125. 33 indexed citations
18.
Kamentsky, Louis A., et al.. (1997). Slide-Based Laser Scanning Cytometry. Acta Cytologica. 41(1). 123–143. 151 indexed citations
19.
Kamentsky, Louis A., et al.. (1996). CompuCyte Corporation. Acta Cytologica. 40(1). 31–36. 8 indexed citations
20.
Kamentsky, Louis A. & Lee Kamentsky. (1991). Microscope‐based multiparameter laser scanning cytometer yielding data comparable to flow cytometry data. Cytometry. 12(5). 381–387. 196 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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