Janey Lee

1.9k total citations · 1 hit paper
10 papers, 996 citations indexed

About

Janey Lee is a scholar working on Molecular Biology, Ecology and Biomedical Engineering. According to data from OpenAlex, Janey Lee has authored 10 papers receiving a total of 996 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 9 papers in Ecology and 2 papers in Biomedical Engineering. Recurrent topics in Janey Lee's work include Genomics and Phylogenetic Studies (8 papers), Microbial Community Ecology and Physiology (7 papers) and Gut microbiota and health (3 papers). Janey Lee is often cited by papers focused on Genomics and Phylogenetic Studies (8 papers), Microbial Community Ecology and Physiology (7 papers) and Gut microbiota and health (3 papers). Janey Lee collaborates with scholars based in United States, Canada and Algeria. Janey Lee's co-authors include Tanja Woyke, Rex R. Malmstrom, Shaomei He, Feng Chen, Jeffery L. Dangl, Susannah G. Tringe, Edward Kirton, Julien Tremblay, Kanwar Pal Singh and Ramūnas Stepanauskas and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Nature Protocols.

In The Last Decade

Janey Lee

10 papers receiving 990 citations

Hit Papers

Primer and platform effects on 16S rRNA tag sequencing 2015 2026 2018 2022 2015 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Janey Lee United States 8 647 517 107 83 81 10 996
Chris Detter United States 18 542 0.8× 444 0.9× 129 1.2× 67 0.8× 151 1.9× 30 1.1k
Anand Patel India 12 523 0.8× 740 1.4× 156 1.5× 114 1.4× 53 0.7× 24 1.2k
Jordan Moberg Parker United States 7 425 0.7× 372 0.7× 65 0.6× 49 0.6× 97 1.2× 12 1.0k
Carmen Scheuner Germany 11 676 1.0× 649 1.3× 205 1.9× 70 0.8× 32 0.4× 11 1.1k
F. A. Bastiaan von Meijenfeldt Netherlands 12 361 0.6× 419 0.8× 80 0.7× 84 1.0× 39 0.5× 21 733
Raphaël Méheust United States 17 728 1.1× 439 0.8× 142 1.3× 88 1.1× 30 0.4× 26 1.1k
Nico Weber Germany 7 706 1.1× 566 1.1× 204 1.9× 86 1.0× 61 0.8× 10 1.4k
Youngik Yang United States 13 535 0.8× 349 0.7× 48 0.4× 74 0.9× 35 0.4× 31 949
Christian S. Riesenfeld United States 6 715 1.1× 571 1.1× 109 1.0× 61 0.7× 60 0.7× 6 1.3k
Natasha K. Dudek United States 5 956 1.5× 778 1.5× 117 1.1× 174 2.1× 55 0.7× 9 1.4k

Countries citing papers authored by Janey Lee

Since Specialization
Citations

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

Fields of papers citing papers by Janey Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janey Lee

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

All Works

10 of 10 papers shown
1.
Bowers, Robert M., Stephen Nayfach, Frederik Schulz, et al.. (2021). Dissecting the dominant hot spring microbial populations based on community-wide sampling at single-cell genomic resolution. The ISME Journal. 16(5). 1337–1347. 23 indexed citations
2.
Schulz, Frederik, Julien Andréani, Jacques Bou Khalil, et al.. (2020). Advantages and Limits of Metagenomic Assembly and Binning of a Giant Virus. mSystems. 5(3). 12 indexed citations
3.
Bowers, Robert M., Monike Oggerin, Danielle Goudeau, et al.. (2020). A pipeline for targeted metagenomics of environmental bacteria. Microbiome. 8(1). 21–21. 36 indexed citations
4.
Mukherjee, Supratim, Dimitri Stamatis, Galina Ovchinnikova, et al.. (2020). Genomes OnLine Database (GOLD) v.8: overview and updates. Nucleic Acids Research. 49(D1). D723–D733. 123 indexed citations
5.
Bowers, Robert M., Janey Lee, & Tanja Woyke. (2017). Sequencing of Genomes from Environmental Single Cells. Methods in molecular biology. 1712. 97–111. 1 indexed citations
6.
Singer, Esther, Bill Andreopoulos, Robert M. Bowers, et al.. (2016). Next generation sequencing data of a defined microbial mock community. Scientific Data. 3(1). 160081–160081. 74 indexed citations
7.
Tremblay, Julien, Kanwar Pal Singh, Edward Kirton, et al.. (2015). Primer and platform effects on 16S rRNA tag sequencing. Frontiers in Microbiology. 6. 771–771. 387 indexed citations breakdown →
8.
Rinke, Christian, Janey Lee, Nandita Nath, et al.. (2014). Obtaining genomes from uncultivated environmental microorganisms using FACS–based single-cell genomics. Nature Protocols. 9(5). 1038–1048. 204 indexed citations
9.
Lee, Janey. (2011). UV Decontamination of MDA Reagents for Single Cell Genomics. University of North Texas Digital Library (University of North Texas). 1 indexed citations
10.
Woyke, Tanja, Alexander Sczyrba, Janey Lee, et al.. (2011). Decontamination of MDA Reagents for Single Cell Whole Genome Amplification. PLoS ONE. 6(10). e26161–e26161. 135 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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