Noah Lewellen

1.7k total citations · 1 hit paper
6 papers, 1.1k citations indexed

About

Noah Lewellen is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Noah Lewellen has authored 6 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Cancer Research. Recurrent topics in Noah Lewellen's work include Genomics and Chromatin Dynamics (5 papers), Epigenetics and DNA Methylation (4 papers) and Cancer-related molecular mechanisms research (2 papers). Noah Lewellen is often cited by papers focused on Genomics and Chromatin Dynamics (5 papers), Epigenetics and DNA Methylation (4 papers) and Cancer-related molecular mechanisms research (2 papers). Noah Lewellen collaborates with scholars based in United States, France and United Kingdom. Noah Lewellen's co-authors include Yoav Gilad, Jonathan K. Pritchard, Jacob F. Degner, Daniel J. Gaffney, Athma A. Pai, Katelyn Michelini, Graham McVicker, Matthew Stephens, Carolyn E Cain and Joseph K. Pickrell and has published in prestigious journals such as Nature, Science and Genome biology.

In The Last Decade

Noah Lewellen

6 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

DNase I sensitivity QTLs are a major determinant of human expression variation

2012 429 citations Jacob F. Degner, Athma A. Pai et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Noah Lewellen United States	5	938	424	122	75	73	6	1.1k
E. Christopher Partridge United States	11	619 0.7×	278 0.7×	130 1.1×	115 1.5×	46 0.6×	20	835
Stefania Rapelli Italy	12	1.0k 1.1×	160 0.4×	200 1.6×	62 0.8×	48 0.7×	15	1.1k
Phuc‐Loi Luu Australia	12	695 0.7×	154 0.4×	129 1.1×	43 0.6×	39 0.5×	19	802
Mélanie Eckersley-Maslin United Kingdom	13	1.1k 1.2×	246 0.6×	118 1.0×	113 1.5×	48 0.7×	23	1.2k
Anthony Shafer United States	6	775 0.8×	235 0.6×	71 0.6×	80 1.1×	49 0.7×	9	872
Emily K. Tsang United States	6	487 0.5×	391 0.9×	82 0.7×	83 1.1×	83 1.1×	8	694
М. П. Пономаренко Russia	17	610 0.7×	286 0.7×	106 0.9×	73 1.0×	96 1.3×	75	865
Mara Maldotti Italy	10	954 1.0×	148 0.3×	203 1.7×	60 0.8×	35 0.5×	14	1.0k
Anna Battenhouse United States	11	666 0.7×	175 0.4×	94 0.8×	69 0.9×	44 0.6×	17	743
Sandra S. de Vries Netherlands	7	612 0.7×	209 0.5×	101 0.8×	96 1.3×	36 0.5×	7	773

Countries citing papers authored by Noah Lewellen

Since Specialization

Citations

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

Fields of papers citing papers by Noah Lewellen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noah Lewellen

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Zhou, Xiang, Carolyn E Cain, Marsha Myrthil, et al.. (2014). Epigenetic modifications are associated with inter-species gene expression variation in primates. Genome biology. 15(12). 547–547. 53 indexed citations

2.

Zhou, Xiang, Carolyn E Cain, Marsha Myrthil, et al.. (2014). Epigenetic modifications are associated with inter-species gene expression variation in primates. Genome Biology. 15(12). 547–547. 1 indexed citations

3.

McVicker, Graham, Bryce van de Geijn, Jacob F. Degner, et al.. (2013). Identification of Genetic Variants That Affect Histone Modifications in Human Cells. Science. 342(6159). 747–749. 312 indexed citations

4.

Degner, Jacob F., Athma A. Pai, Roger Piqué-Regi, et al.. (2012). DNase I sensitivity QTLs are a major determinant of human expression variation. Nature. 482(7385). 390–394. 429 indexed citations breakdown →

5.

Pai, Athma A., Carolyn E Cain, Orna Mizrahi-Man, et al.. (2012). The Contribution of RNA Decay Quantitative Trait Loci to Inter-Individual Variation in Steady-State Gene Expression Levels. PLoS Genetics. 8(10). e1003000–e1003000. 79 indexed citations

6.

Gaffney, Daniel J., Graham McVicker, Athma A. Pai, et al.. (2012). Controls of Nucleosome Positioning in the Human Genome. PLoS Genetics. 8(11). e1003036–e1003036. 211 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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