Mark Layer

1.7k total citations · 1 hit paper
6 papers, 677 citations indexed

About

Mark Layer is a scholar working on Pathology and Forensic Medicine, Physiology and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Mark Layer has authored 6 papers receiving a total of 677 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pathology and Forensic Medicine, 3 papers in Physiology and 2 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Mark Layer's work include Smoking Behavior and Cessation (3 papers), Alcohol Consumption and Health Effects (3 papers) and Suicide and Self-Harm Studies (1 paper). Mark Layer is often cited by papers focused on Smoking Behavior and Cessation (3 papers), Alcohol Consumption and Health Effects (3 papers) and Suicide and Self-Harm Studies (1 paper). Mark Layer collaborates with scholars based in United States. Mark Layer's co-authors include Livia Navon, Isaac Ghinai, Lori Saathoff-Huber, Mark W. Tenforde, Jennifer E. Layden, Anne Kimball, Jonathan Meiman, Ian W. Pray, Brooke Hoots and Christina A. Mikosz and has published in prestigious journals such as New England Journal of Medicine, Scientific Reports and CHEST Journal.

In The Last Decade

Mark Layer

6 papers receiving 654 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.

Pulmonary Illness Related to E-Cigarette Use in Illinois and Wisconsin — Final Report

2019 587 citations Jennifer E. Layden, Isaac Ghinai et al. New England Journal of Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark Layer United States	5	426	202	129	89	82	6	677
Megan Elderbrook United States	3	375 0.9×	182 0.9×	112 0.9×	72 0.8×	73 0.9×	3	597
G. Peiffer France	14	262 0.6×	209 1.0×	14 0.1×	41 0.5×	40 0.5×	75	515
Devika Rao United States	10	218 0.5×	170 0.8×	30 0.2×	47 0.5×	69 0.8×	18	398
J. Perriot France	14	246 0.6×	217 1.1×	14 0.1×	50 0.6×	24 0.3×	94	540
Alexander Mackay United Kingdom	19	458 1.1×	1.1k 5.7×	26 0.2×	115 1.3×	89 1.1×	47	1.6k
Kim Aldy United States	13	119 0.3×	69 0.3×	159 1.2×	46 0.5×	15 0.2×	38	585
W M Vollmer United States	7	287 0.7×	358 1.8×	12 0.1×	109 1.2×	32 0.4×	8	557
James Fingleton New Zealand	17	534 1.3×	610 3.0×	27 0.2×	32 0.4×	10 0.1×	74	972
P Bakke Norway	14	471 1.1×	747 3.7×	19 0.1×	11 0.1×	98 1.2×	23	1.0k
Jillian Greene Canada	5	139 0.3×	217 1.1×	8 0.1×	112 1.3×	38 0.5×	8	421

Countries citing papers authored by Mark Layer

Since Specialization

Citations

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

Fields of papers citing papers by Mark Layer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Layer

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Layer. A scholar is included among the top collaborators of Mark Layer 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 Mark Layer. Mark Layer 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.

Kiernan, Emily, Eleanor S. Click, Paul Melstrom, et al.. (2020). A Brief Overview of the National Outbreak of e-Cigarette, or Vaping, Product Use-Associated Lung Injury and the Primary Causes. CHEST Journal. 159(1). 426–431. 10 indexed citations

2.

Carpenter, Joseph, et al.. (2020). Poisonings due to storage in a secondary container reported to the National Poison Data System, 2007–2017. Clinical Toxicology. 59(6). 521–527. 3 indexed citations

3.

Layden, Jennifer E., Isaac Ghinai, Ian W. Pray, et al.. (2019). Pulmonary Illness Related to E-Cigarette Use in Illinois and Wisconsin — Final Report. New England Journal of Medicine. 382(10). 903–916. 587 indexed citations breakdown →

4.

Ghinai, Isaac, Ian W. Pray, Livia Navon, et al.. (2019). E-cigarette Product Use, or Vaping, Among Persons with Associated Lung Injury — Illinois and Wisconsin, April–September 2019. MMWR Morbidity and Mortality Weekly Report. 68(39). 865–869. 64 indexed citations

5.

Layer, Mark & John A. Rhodes. (2016). Phylogenetic trees and Euclidean embeddings. Journal of Mathematical Biology. 74(1-2). 99–111. 5 indexed citations

6.

Ge, Fang, et al.. (2015). Preferential Amplification of Pathogenic Sequences. Scientific Reports. 5(1). 11047–11047. 8 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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