Nicholas Pervolarakis

2.3k citations
11 papers · 1.2k indexed · 2 hit papers · h-index 8
Topics
Single-cell and spatial transcriptomics (6 papers)Cancer Cells and Metastasis (5 papers)Immune cells in cancer (3 papers)

In The Last Decade

Nicholas Pervolarakis

11 papers receiving 1.2k citations

Hit Papers

Tumour heterogeneity and metastasis at single-cell resolu...201820262020202320182020100200300400

Peers

Nicholas Pervolarakis
Comparison fields: 5 of 91
  • Molecular Biology 722
  • Oncology 460
  • Immunology 387
  • Cancer Research 330
  • Biomedical Engineering 111
Replace Ernst J.A. Steller with:
Ernst J.A. Steller Netherlands
Michael J. Gerdes United States
Joseph Cursons Australia
Ethel R. Pereira United States
Geoffroy Andrieux Germany
Charles H. Yoon United States
Dmitriy Kedrin United States
Christine Schweitzer Germany
Monther Al‐Alwan Saudi Arabia
Shilpee Dutt India
Nicholas Pervolarakis relative to Ernst J.A. Steller Netherlands Ernst J.A. Steller's profile →
Citations per field
00.5×3.2×
Ernst J.A. Steller · 1×
Citations per year

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
#WorkIndexed citations
1 7
2
Defining the emergence of myeloid-derived suppressor cells in breast cancer using single-cell transcriptomicsbreakdown →
322
3 2
4 35
5 1
6 2
7 230
8
Tumour heterogeneity and metastasis at single-cell resolutionbreakdown →
413
9 68
10 116
11 48

About Nicholas Pervolarakis

Nicholas Pervolarakis is a scholar working on Cancer Research, Immunology and Oncology, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Cancer Cells and Metastasis (5 papers) and Immune cells in cancer (3 papers). The work is most often cited by research in Cancer Research (330 citations), Immunology (387 citations) and Oncology (460 citations). Nicholas Pervolarakis has collaborated with scholars based in United States, Japan and Saudi Arabia. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neuroscience.

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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