Nicholas Pervolarakis

2.3k total citations · 2 hit papers
11 papers, 1.2k citations indexed

About

Nicholas Pervolarakis is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Nicholas Pervolarakis has authored 11 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Oncology and 4 papers in Immunology. Recurrent topics in Nicholas Pervolarakis's work include Single-cell and spatial transcriptomics (6 papers), Cancer Cells and Metastasis (5 papers) and Immune cells in cancer (3 papers). Nicholas Pervolarakis is often cited by papers focused on Single-cell and spatial transcriptomics (6 papers), Cancer Cells and Metastasis (5 papers) and Immune cells in cancer (3 papers). Nicholas Pervolarakis collaborates with scholars based in United States, Japan and Saudi Arabia. Nicholas Pervolarakis's co-authors include Kai Kessenbrock, Zena Werb, Ryan T. Davis, Devon A. Lawson, Quy Nguyen, Kevin Nee, Dennis Ma, Katrina Evans, Jan A. Rath and Hamad Alshetaiwi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

In The Last Decade

Nicholas Pervolarakis

11 papers receiving 1.2k citations

Hit Papers

Tumour heterogeneity and metastasis at single-cell resolu... 2018 2026 2020 2023 2018 2020 100 200 300 400

Peers

Nicholas Pervolarakis
Wendy Béguelin United States
Gregory K. Behbehani United States
Maxim Markovic United States
Despina Siolas United States
Joseph Cursons Australia
Marcia A. Munoz Australia
Aude I. Ségaliny United States
Nicholas Pervolarakis
Citations per year, relative to Nicholas Pervolarakis Nicholas Pervolarakis (= 1×) peers Shilpee Dutt

Countries citing papers authored by Nicholas Pervolarakis

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Pervolarakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Pervolarakis

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

All Works

11 of 11 papers shown
1.
Nguyen, Thanh H., et al.. (2021). Weekend Light Shifts Evoke Persistent Drosophila Circadian Neural Network Desynchrony. Journal of Neuroscience. 41(24). 5173–5189. 7 indexed citations
2.
Alshetaiwi, Hamad, Nicholas Pervolarakis, Laura L. McIntyre, et al.. (2020). Defining the emergence of myeloid-derived suppressor cells in breast cancer using single-cell transcriptomics. Science Immunology. 5(44). 322 indexed citations breakdown →
3.
Alshetaiwi, Hamad, Nicholas Pervolarakis, Quy Nguyen, & Kai Kessenbrock. (2020). Single-Cell Transcriptome Analysis Workflow for Splenic Myeloid-Derived Suppressor Cells from Murine Breast Cancer Models. Methods in molecular biology. 2236. 177–187. 2 indexed citations
4.
Pervolarakis, Nicholas, Quy Nguyen, Yanwen Gong, et al.. (2020). Integrated Single-Cell Transcriptomics and Chromatin Accessibility Analysis Reveals Regulators of Mammary Epithelial Cell Identity. Cell Reports. 33(3). 108273–108273. 35 indexed citations
5.
Alshetaiwi, Hamad, Nicholas Pervolarakis, Laura L. McIntyre, et al.. (2019). Single cell RNA sequencing reveals distinct gene expression signatures of myeloidderived suppressor cells in breast cancer. The Journal of Immunology. 202(1_Supplement). 135.4–135.4. 1 indexed citations
6.
Pervolarakis, Nicholas, Peng Sun, Guadalupe Gutierrez, et al.. (2019). Integrated Single-Cell Transcriptomics and Chromatin Accessibility Analysis Reveals Novel Regulators of Mammary Epithelial Cell Identity. SSRN Electronic Journal. 2 indexed citations
7.
Nguyen, Quy, Nicholas Pervolarakis, Kerrigan Blake, et al.. (2018). Profiling human breast epithelial cells using single cell RNA sequencing identifies cell diversity. Nature Communications. 9(1). 2028–2028. 230 indexed citations
8.
Lawson, Devon A., Kai Kessenbrock, Ryan T. Davis, Nicholas Pervolarakis, & Zena Werb. (2018). Tumour heterogeneity and metastasis at single-cell resolution. Nature Cell Biology. 20(12). 1349–1360. 413 indexed citations breakdown →
9.
Nusbaum, David J., Fengzhu Sun, Jie Ren, et al.. (2018). Gut microbial and metabolomic profiles after fecal microbiota transplantation in pediatric ulcerative colitis patients. FEMS Microbiology Ecology. 94(9). 68 indexed citations
10.
Nguyen, Quy, Nicholas Pervolarakis, Kevin Nee, & Kai Kessenbrock. (2018). Experimental Considerations for Single-Cell RNA Sequencing Approaches. Frontiers in Cell and Developmental Biology. 6. 108–108. 116 indexed citations
11.
Kessenbrock, Kai, Sander Christiaan Steenbeek, Nicholas Pervolarakis, et al.. (2017). Diverse regulation of mammary epithelial growth and branching morphogenesis through noncanonical Wnt signaling. Proceedings of the National Academy of Sciences. 114(12). 3121–3126. 48 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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