Marc-Danie Nazaire

1.3k total citations · 1 hit paper
3 papers, 540 citations indexed

About

Marc-Danie Nazaire is a scholar working on Molecular Biology, Infectious Diseases and Organic Chemistry. According to data from OpenAlex, Marc-Danie Nazaire has authored 3 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 0 papers in Infectious Diseases and 0 papers in Organic Chemistry. Recurrent topics in Marc-Danie Nazaire's work include Single-cell and spatial transcriptomics (2 papers), Gene expression and cancer classification (2 papers) and Gene Regulatory Network Analysis (2 papers). Marc-Danie Nazaire is often cited by papers focused on Single-cell and spatial transcriptomics (2 papers), Gene expression and cancer classification (2 papers) and Gene Regulatory Network Analysis (2 papers). Marc-Danie Nazaire collaborates with scholars based in United States, Australia and France. Marc-Danie Nazaire's co-authors include Michael Reich, Chris Williams, Gad Getz, Andrey Sivachenko, Joshua Z. Levin, David S. DeLuca, Wendy Winckler, Timothy R. Fennell, Jill P. Mesirov and Saumyadipta Pyne and has published in prestigious journals such as Bioinformatics, PLoS ONE and PubMed.

In The Last Decade

Marc-Danie Nazaire

3 papers receiving 530 citations

Hit Papers

RNA-SeQC: RNA-seq metrics for quality control and process... 2012 2026 2016 2021 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marc-Danie Nazaire United States 3 341 116 71 71 49 3 540
Ryan C. Thompson United States 13 331 1.0× 128 1.1× 42 0.6× 106 1.5× 72 1.5× 21 627
Aliaksei Z. Holik Australia 10 450 1.3× 100 0.9× 93 1.3× 95 1.3× 97 2.0× 14 696
Chuanbing Zhu China 17 460 1.3× 93 0.8× 76 1.1× 71 1.0× 58 1.2× 32 602
Kyu‐Seon Oh United States 13 524 1.5× 165 1.4× 70 1.0× 115 1.6× 92 1.9× 24 677
Huei San Leong Australia 9 390 1.1× 131 1.1× 110 1.5× 108 1.5× 90 1.8× 11 686
Matthew A. Bockol United States 6 338 1.0× 169 1.5× 116 1.6× 48 0.7× 47 1.0× 6 605
Yusuke Koga United States 11 384 1.1× 138 1.2× 60 0.8× 109 1.5× 95 1.9× 24 677
Stéphane Avner France 11 500 1.5× 66 0.6× 121 1.7× 71 1.0× 58 1.2× 24 633
Ieva Rauluševičiūtė Norway 4 353 1.0× 96 0.8× 66 0.9× 46 0.6× 32 0.7× 6 509
Stefan T. Börno Germany 11 379 1.1× 71 0.6× 33 0.5× 41 0.6× 33 0.7× 15 480

Countries citing papers authored by Marc-Danie Nazaire

Since Specialization
Citations

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

Fields of papers citing papers by Marc-Danie Nazaire

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc-Danie Nazaire. 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 Marc-Danie Nazaire. The network helps show where Marc-Danie Nazaire may publish in the future.

Co-authorship network of co-authors of Marc-Danie Nazaire

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

All Works

3 of 3 papers shown
1.
Pyne, Saumyadipta, Sharon Lee, Jonathan M. Irish, et al.. (2014). Joint Modeling and Registration of Cell Populations in Cohorts of High-Dimensional Flow Cytometric Data. PLoS ONE. 9(7). e100334–e100334. 26 indexed citations
2.
Špidlen, Josef, Karin Breuer, Peter A. Carr, et al.. (2013). GenePattern flow cytometry suite. PubMed. 8(1). 14–14. 13 indexed citations
3.
DeLuca, David S., Joshua Z. Levin, Andrey Sivachenko, et al.. (2012). RNA-SeQC: RNA-seq metrics for quality control and process optimization. Bioinformatics. 28(11). 1530–1532. 501 indexed citations breakdown →

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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