Andrew Lugowski

446 total citations
8 papers, 259 citations indexed

About

Andrew Lugowski is a scholar working on Molecular Biology, Spectroscopy and Cellular and Molecular Neuroscience. According to data from OpenAlex, Andrew Lugowski has authored 8 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Spectroscopy and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Andrew Lugowski's work include RNA Research and Splicing (5 papers), RNA modifications and cancer (4 papers) and Advanced Proteomics Techniques and Applications (3 papers). Andrew Lugowski is often cited by papers focused on RNA Research and Splicing (5 papers), RNA modifications and cancer (4 papers) and Advanced Proteomics Techniques and Applications (3 papers). Andrew Lugowski collaborates with scholars based in Canada, United States and China. Andrew Lugowski's co-authors include Olivia S. Rissland, Beth Nicholson, Craig A. Smibert, John Laver, Howard D. Lipshitz, Michael Ly, Julie M. Claycomb, Uri Seroussi, Lina Wadi and Alexandra R. Willis and has published in prestigious journals such as Genome biology, eLife and RNA.

In The Last Decade

Andrew Lugowski

8 papers receiving 257 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Andrew Lugowski Canada	8	224	33	26	18	17	8	259
Vadim Shchepachev Switzerland	10	399 1.8×	23 0.7×	18 0.7×	6 0.3×	35 2.1×	11	441
Niels Jahn Germany	8	256 1.1×	15 0.5×	12 0.5×	5 0.3×	19 1.1×	10	317
Maria Anokhina Germany	8	669 3.0×	34 1.0×	10 0.4×	11 0.6×	40 2.4×	11	709
Chintan Joshi United States	10	256 1.1×	17 0.5×	27 1.0×	3 0.2×	12 0.7×	13	316
Arun Manoharan United States	3	129 0.6×	20 0.6×	70 2.7×	4 0.2×	37 2.2×	3	196
Jason J. Merkin United States	6	249 1.1×	45 1.4×	7 0.3×	3 0.2×	9 0.5×	6	276
Alice Grob United Kingdom	7	235 1.0×	17 0.5×	7 0.3×	3 0.2×	24 1.4×	12	316
Tetsuya Handa Japan	11	378 1.7×	47 1.4×	12 0.5×	3 0.2×	41 2.4×	17	410
Ana M. Matia‐González United Kingdom	9	279 1.2×	36 1.1×	8 0.3×	2 0.1×	23 1.4×	17	310
Steven Verbruggen Belgium	6	275 1.2×	43 1.3×	5 0.2×	40 2.2×	10 0.6×	7	294

Countries citing papers authored by Andrew Lugowski

Since Specialization

Citations

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

Fields of papers citing papers by Andrew Lugowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Lugowski

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

All Works

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8 of 8 papers shown

1.

Seroussi, Uri, Andrew Lugowski, Lina Wadi, et al.. (2023). A comprehensive survey of C. elegans argonaute proteins reveals organism-wide gene regulatory networks and functions. eLife. 12. 56 indexed citations

2.

Lugowski, Andrew, Beth Nicholson, & Olivia S. Rissland. (2018). DRUID: a pipeline for transcriptome-wide measurements of mRNA stability. RNA. 24(5). 623–632. 28 indexed citations

3.

Rissland, Olivia S., Alexander O. Subtelny, Andrew Lugowski, et al.. (2017). The influence of microRNAs and poly(A) tail length on endogenous mRNA–protein complexes. Genome biology. 18(1). 211–211. 41 indexed citations

4.

Lugowski, Andrew, Beth Nicholson, & Olivia S. Rissland. (2017). Determining mRNA half-lives on a transcriptome-wide scale. Methods. 137. 90–98. 47 indexed citations

5.

Ly, Michael, Andrew Lugowski, John Laver, et al.. (2017). ME31B globally represses maternal mRNAs by two distinct mechanisms during the Drosophila maternal-to-zygotic transition. eLife. 6. 49 indexed citations

6.

Guo, Hongbo, Ana E. Garcia‐Vedrenne, Ruth Isserlin, et al.. (2015). Phosphoproteomic network analysis in the sea urchin Strongylocentrotus purpuratus reveals new candidates in egg activation. PROTEOMICS. 15(23-24). 4080–4095. 16 indexed citations

7.

Guo, Hongbo, Ruth Isserlin, Andrew Lugowski, Uroš Kuzmanov, & Andrew Emili. (2014). Large-Scale Label-Free Phosphoproteomics: from Technology to Data Interpretation. Bioanalysis. 6(18). 2403–2420. 9 indexed citations

8.

Wan, Cuihong, Vincent Fong, Andrew Lugowski, et al.. (2012). ComplexQuant: High-throughput computational pipeline for the global quantitative analysis of endogenous soluble protein complexes using high resolution protein HPLC and precision label-free LC/MS/MS. Journal of Proteomics. 81. 102–111. 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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