Jonathan E. Burnett

1.2k total citations
7 papers, 610 citations indexed

About

Jonathan E. Burnett is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Jonathan E. Burnett has authored 7 papers receiving a total of 610 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 1 paper in Plant Science and 1 paper in Cancer Research. Recurrent topics in Jonathan E. Burnett's work include CRISPR and Genetic Engineering (5 papers), Single-cell and spatial transcriptomics (4 papers) and Pluripotent Stem Cells Research (3 papers). Jonathan E. Burnett is often cited by papers focused on CRISPR and Genetic Engineering (5 papers), Single-cell and spatial transcriptomics (4 papers) and Pluripotent Stem Cells Research (3 papers). Jonathan E. Burnett collaborates with scholars based in United States and Spain. Jonathan E. Burnett's co-authors include Yoav Gilad, John Blischak, Po‐Yuan Tung, Jonathan K. Pritchard, Chiaowen Joyce Hsiao, David A. Knowles, Bryan J. Pavlovic, Michelle C. Ward, Nicholas E. Banovich and Matthew Stephens and has published in prestigious journals such as Scientific Reports, Genome Research and PLoS Genetics.

In The Last Decade

Jonathan E. Burnett

7 papers receiving 607 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jonathan E. Burnett United States	7	524	105	63	51	50	7	610
Stefanie Grosswendt Germany	7	789 1.5×	254 2.4×	64 1.0×	49 1.0×	45 0.9×	9	853
Qiao Zeng China	7	750 1.4×	168 1.6×	157 2.5×	74 1.5×	36 0.7×	11	931
Pedro Olivares‐Chauvet Germany	10	574 1.1×	107 1.0×	84 1.3×	45 0.9×	65 1.3×	13	654
Vincent Liu United States	8	590 1.1×	73 0.7×	53 0.8×	47 0.9×	23 0.5×	9	678
Koen Van den Berge Belgium	7	521 1.0×	134 1.3×	44 0.7×	120 2.4×	44 0.9×	7	683
Jonathan Alles Germany	6	527 1.0×	102 1.0×	24 0.4×	69 1.4×	64 1.3×	7	583
Tatiana Subkhankulova United Kingdom	11	474 0.9×	96 0.9×	72 1.1×	29 0.6×	13 0.3×	15	597
Hector Roux de Bézieux United States	5	303 0.6×	65 0.6×	28 0.4×	99 1.9×	34 0.7×	7	405
Bryan J. Pavlovic United States	10	525 1.0×	49 0.5×	91 1.4×	25 0.5×	11 0.2×	13	612
Petra Kukanja Sweden	9	515 1.0×	124 1.2×	28 0.4×	120 2.4×	50 1.0×	10	686

Countries citing papers authored by Jonathan E. Burnett

Since Specialization

Citations

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

Fields of papers citing papers by Jonathan E. Burnett

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan E. Burnett. 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 Jonathan E. Burnett. The network helps show where Jonathan E. Burnett may publish in the future.

Co-authorship network of co-authors of Jonathan E. Burnett

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

All Works

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7 of 7 papers shown

1.

Eckart, Heather, Bingqing Xie, Reem Elorbany, et al.. (2020). Systematic Comparison of High-throughput Single-Cell and Single-Nucleus Transcriptomes during Cardiomyocyte Differentiation. Scientific Reports. 10(1). 66 indexed citations

2.

Hsiao, Chiaowen Joyce, Po‐Yuan Tung, John Blischak, et al.. (2020). Characterizing and inferring quantitative cell cycle phase in single-cell RNA-seq data analysis. Genome Research. 30(4). 611–621. 45 indexed citations

3.

Sarkar, Abhishek, Po‐Yuan Tung, John Blischak, et al.. (2019). Discovery and characterization of variance QTLs in human induced pluripotent stem cells. PLoS Genetics. 15(4). e1008045–e1008045. 44 indexed citations

4.

Tung, Po‐Yuan, John Blischak, Chiaowen Joyce Hsiao, et al.. (2017). Batch effects and the effective design of single-cell gene expression studies. Scientific Reports. 7(1). 39921–39921. 209 indexed citations

5.

Banovich, Nicholas E., Yang Li, Anil Raj, et al.. (2017). Impact of regulatory variation across human iPSCs and differentiated cells. Genome Research. 28(1). 122–131. 78 indexed citations

6.

Thomas, Samantha M., et al.. (2015). Reprogramming LCLs to iPSCs Results in Recovery of Donor-Specific Gene Expression Signature. PLoS Genetics. 11(5). e1005216–e1005216. 24 indexed citations

7.

Romero, Irene Gallego, Bryan J. Pavlovic, Irene Hernando-Herraez, et al.. (2015). A panel of induced pluripotent stem cells from chimpanzees: a resource for comparative functional genomics. eLife. 4. e07103–e07103. 144 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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