Vebjorn Ljosa

3.3k total citations · 1 hit paper
18 papers, 1.6k citations indexed

About

Vebjorn Ljosa is a scholar working on Biophysics, Molecular Biology and Media Technology. According to data from OpenAlex, Vebjorn Ljosa has authored 18 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biophysics, 8 papers in Molecular Biology and 4 papers in Media Technology. Recurrent topics in Vebjorn Ljosa's work include Cell Image Analysis Techniques (9 papers), Advanced Fluorescence Microscopy Techniques (6 papers) and Single-cell and spatial transcriptomics (5 papers). Vebjorn Ljosa is often cited by papers focused on Cell Image Analysis Techniques (9 papers), Advanced Fluorescence Microscopy Techniques (6 papers) and Single-cell and spatial transcriptomics (5 papers). Vebjorn Ljosa collaborates with scholars based in United States, Netherlands and Sweden. Vebjorn Ljosa's co-authors include Anne E. Carpenter, Adam Fraser, Thouis R. Jones, Mark‐Anthony Bray, Lee Kamentsky, Kevin W. Eliceiri, David J. Logan, Curtis Rueden, Ambuj K. Singh and Shantanu Singh and has published in prestigious journals such as Bioinformatics, PLoS ONE and Nature Methods.

In The Last Decade

Vebjorn Ljosa

18 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Improved structure, function and compatibility for CellProfiler: modular high-throughput image analysis software

2011 765 citations Lee Kamentsky, Thouis R. Jones et al. Bioinformatics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vebjorn Ljosa United States	13	832	662	199	144	141	18	1.6k
Chris Allan United Kingdom	10	577 0.7×	551 0.8×	83 0.4×	95 0.7×	79 0.6×	13	1.3k
Andrew R. Cohen United States	19	1.1k 1.3×	544 0.8×	129 0.6×	400 2.8×	28 0.2×	44	2.1k
Tim Becker Germany	15	913 1.1×	865 1.3×	312 1.6×	207 1.4×	82 0.6×	33	2.4k
Mark‐Anthony Bray United States	24	1.2k 1.4×	656 1.0×	186 0.9×	418 2.9×	88 0.6×	37	2.8k
Oren Kraus Canada	10	347 0.4×	378 0.6×	156 0.8×	44 0.3×	53 0.4×	12	768
Carolina Wählby Sweden	26	1.7k 2.0×	943 1.4×	297 1.5×	228 1.6×	46 0.3×	101	3.2k
Jeffrey H. Price United States	22	696 0.8×	342 0.5×	182 0.9×	131 0.9×	46 0.3×	64	1.5k
Josh Moore United Kingdom	9	532 0.6×	517 0.8×	79 0.4×	88 0.6×	9 0.1×	16	1.0k
Tanel Pärnamaa Estonia	5	599 0.7×	173 0.3×	51 0.3×	13 0.1×	132 0.9×	8	1.2k

Countries citing papers authored by Vebjorn Ljosa

Since Specialization

Citations

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

Fields of papers citing papers by Vebjorn Ljosa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vebjorn Ljosa

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

All Works

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18 of 18 papers shown

Bray, Mark‐Anthony, Sigrun Gustafsdottir, Mohammad Hossein Rohban, et al.. (2017). A dataset of images and morphological profiles of 30 000 small-molecule treatments using the Cell Painting assay. GigaScience. 6(12). 1–5. 110 indexed citations

Dao, David, Adam Fraser, Jane Hung, et al.. (2016). CellProfiler Analyst: interactive data exploration, analysis and classification of large biological image sets. Bioinformatics. 32(20). 3210–3212. 87 indexed citations

Singh, Shantanu, Xiaoyun Wu, Vebjorn Ljosa, et al.. (2015). Morphological Profiles of RNAi-Induced Gene Knockdown Are Highly Reproducible but Dominated by Seed Effects. PLoS ONE. 10(7). e0131370–e0131370. 27 indexed citations

Ljosa, Vebjorn, Peter D. Caie, Rob ter Horst, et al.. (2013). Comparison of Methods for Image-Based Profiling of Cellular Morphological Responses to Small-Molecule Treatment. SLAS DISCOVERY. 18(10). 1321–1329. 119 indexed citations

Gustafsdottir, Sigrun, Vebjorn Ljosa, Katherine L Sokolnicki, et al.. (2013). Multiplex Cytological Profiling Assay to Measure Diverse Cellular States. PLoS ONE. 8(12). e80999–e80999. 193 indexed citations

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

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 →

Wählby, Carolina, Tammy Riklin Raviv, Vebjorn Ljosa, et al.. (2010). Resolving clustered worms via probabilistic shape models. PubMed. 2010(14-17 April 2010). 552–555. 23 indexed citations

Raviv, Tammy Riklin, Vebjorn Ljosa, Annie L. Conery, et al.. (2010). Morphology-Guided Graph Search for Untangling Objects: C. elegans Analysis. Lecture notes in computer science. 13(Pt 3). 634–641. 4 indexed citations

10.

Ljosa, Vebjorn & Anne E. Carpenter. (2009). Introduction to the Quantitative Analysis of Two-Dimensional Fluorescence Microscopy Images for Cell-Based Screening. PLoS Computational Biology. 5(12). e1000603–e1000603. 76 indexed citations

11.

Ljosa, Vebjorn & Anne E. Carpenter. (2008). High-throughput screens for fluorescent dye discovery. Trends in biotechnology. 26(10). 527–530. 22 indexed citations

12.

Ljosa, Vebjorn & Ambuj K. Singh. (2008). Top-k Spatial Joins of Probabilistic Objects. 566–575. 51 indexed citations

13.

Ljosa, Vebjorn & Ambuj K. Singh. (2007). APLA: Indexing Arbitrary Probability Distributions. 946–955. 60 indexed citations

14.

Ljosa, Vebjorn, et al.. (2006). LB-Index: A Multi-Resolution Index Structure for Images. 144–144. 2 indexed citations

15.

Singh, Ambuj K., Arnab Bhattacharya, & Vebjorn Ljosa. (2006). Current Challenges in Bioimage Database Design. 41. 375–379. 1 indexed citations

16.

Ljosa, Vebjorn & Ambuj K. Singh. (2006). Probabilistic Segmentation and Analysis of Horizontal Cells. 43. 980–985. 8 indexed citations

17.

Ljosa, Vebjorn, Jia-Yu Pan, Mark R. Verardo, et al.. (2006). ViVo: Visual Vocabulary Construction for Mining Biomedical Images. 50–57. 23 indexed citations

18.

Kahveci, Tamer, Vebjorn Ljosa, & Ambuj K. Singh. (2004). Speeding up whole-genome alignment by indexing frequency vectors. Bioinformatics. 20(13). 2122–2134. 13 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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