Laurence J. Meyer

4.6k total citations
46 papers, 2.0k citations indexed

About

Laurence J. Meyer is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Laurence J. Meyer has authored 46 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 17 papers in Oncology and 15 papers in Genetics. Recurrent topics in Laurence J. Meyer's work include Cutaneous Melanoma Detection and Management (17 papers), Genetic and rare skin diseases. (9 papers) and Autoimmune Bullous Skin Diseases (8 papers). Laurence J. Meyer is often cited by papers focused on Cutaneous Melanoma Detection and Management (17 papers), Genetic and rare skin diseases. (9 papers) and Autoimmune Bullous Skin Diseases (8 papers). Laurence J. Meyer collaborates with scholars based in United States, Switzerland and Poland. Laurence J. Meyer's co-authors include John J. Zone, Lisa Cannon‐Albright, Michael A. Becker, Mark H. Skolnick, David E. Goldgar, Donald P. Kadunce, Ted B. Taylor, Michael W. Piepkorn, J. Edwin Seegmiller and Cathryn M. Lewis and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Laurence J. Meyer

46 papers receiving 1.9k citations

Peers

Laurence J. Meyer
Beth S. Ruben United States
Harald S. Haugen United States
Scott R. Florell United States
Graham P. Cook United Kingdom
Peter J. Dawson United States
Carol Beadling United States
Kristy L. Richards United States
Philip E. Stuart United States
Beth S. Ruben United States
Laurence J. Meyer
Citations per year, relative to Laurence J. Meyer Laurence J. Meyer (= 1×) peers Beth S. Ruben

Countries citing papers authored by Laurence J. Meyer

Since Specialization
Citations

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

Fields of papers citing papers by Laurence J. Meyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laurence J. Meyer. 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 Laurence J. Meyer. The network helps show where Laurence J. Meyer may publish in the future.

Co-authorship network of co-authors of Laurence J. Meyer

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

All Works

20 of 20 papers shown
1.
Vassy, Jason L., Annjanette Stone, John T. Callaghan, et al.. (2018). Pharmacogenetic testing in the Veterans Health Administration (VHA): policy recommendations from the VHA Clinical Pharmacogenetics Subcommittee. Genetics in Medicine. 21(2). 382–390. 10 indexed citations
2.
Hawkes, Jason E., Amanda Truong, & Laurence J. Meyer. (2016). Genetic predisposition to melanoma. Seminars in Oncology. 43(5). 591–597. 36 indexed citations
3.
Chun, Danielle S., Brygida Berse, Vickie L. Venne, et al.. (2016). BRCA testing within the Department of Veterans Affairs: concordance with clinical practice guidelines. Familial Cancer. 16(1). 41–49. 13 indexed citations
4.
Hawkes, Jason E., et al.. (2016). The Scourge of the Spurge Family—An Imitator of Rhus Dermatitis. Dermatitis. 27(6). 372–381. 5 indexed citations
5.
Welch, Brandon M., Karen Eilbeck, Guilherme Del Fiol, Laurence J. Meyer, & Kensaku Kawamoto. (2014). Technical desiderata for the integration of genomic data with clinical decision support. Journal of Biomedical Informatics. 51. 3–7. 23 indexed citations
6.
Cannon‐Albright, Lisa, et al.. (2013). Creation of a national resource with linked genealogy and phenotypic data: the Veterans Genealogy Project. Genetics in Medicine. 15(7). 541–547. 7 indexed citations
7.
Zone, John J., Linda Schmidt, Ted B. Taylor, et al.. (2011). Dermatitis Herpetiformis Sera or Goat Anti–Transglutaminase-3 Transferred to Human Skin-Grafted Mice Mimics Dermatitis Herpetiformis Immunopathology. The Journal of Immunology. 186(7). 4474–4480. 44 indexed citations
8.
Egan, Conleth A., et al.. (2001). Linear IgA bullous dermatosis responsive to a gluten-free diet. The American Journal of Gastroenterology. 96(6). 1927–1929. 14 indexed citations
9.
Egan, Conleth A., Ted B. Taylor, Laurence J. Meyer, Marta J. Petersen, & John J. Zone. (1999). IgA1 is the major IgA subclass in cutaneous blood vessels in Henoch-Schonlein purpura. British Journal of Dermatology. 141(5). 859–862. 16 indexed citations
10.
Vanderhooft, Sheryll L., et al.. (1999). What Syndrome Is This?. Pediatric Dermatology. 16(5). 403–405. 5 indexed citations
11.
Meyer, Laurence J., Michael W. Piepkorn, David E. Goldgar, et al.. (1996). Interobserver concordance in discriminating clinical atypia of melanocytic nevi, and correlations with histologic atypia. Journal of the American Academy of Dermatology. 34(4). 618–625. 35 indexed citations
12.
Meyer, Laurence J., Linda Schmidt, David E. Goldgar, & Michael W. Piepkorn. (1995). Survival and Histopathologic Characteristics of Human Melanocytic Nevi Transplanted to Athymic (Nude) Mice. American Journal of Dermatopathology. 17(4). 368–373. 2 indexed citations
13.
Cannon‐Albright, Lisa, Laurence J. Meyer, Cathryn M. Lewis, et al.. (1994). Penetrance and expressivity of the chromosome 9p melanoma susceptibility locus (MLM).. PubMed. 54(23). 6041–4. 62 indexed citations
14.
Meyer, Laurence J., et al.. (1994). Genetics of Cutaneous Melanoma.. Journal of Investigative Dermatology. 103(s5). 112S–116S. 11 indexed citations
15.
Piepkorn, Michael W., Raymond L. Barnhill, Lisa Cannon‐Albright, et al.. (1994). A multiobserver, population-based analysis of histologic dysplasia in melanocytic nevi. Journal of the American Academy of Dermatology. 30(5). 707–714. 75 indexed citations
16.
Goldgar, David E., Lisa Cannon‐Albright, Laurence J. Meyer, et al.. (1992). Inheritance of nevus number and size in melanoma/DNS kindreds. Cytogenetic and Genome Research. 59(2-3). 200–202. 4 indexed citations
17.
Meyer, Laurence J., David E. Goldgar, Lisa Cannon‐Albright, et al.. (1992). Number, size, and histopathology of nevi in Utah kindreds. Cytogenetic and Genome Research. 59(2-3). 167–169. 8 indexed citations
18.
Goldgar, David E., et al.. (1991). Inheritance of Nevus Number and Size in Melanoma and Dysplastic Nevus Syndrome Kindreds. JNCI Journal of the National Cancer Institute. 83(23). 1726–1733. 35 indexed citations
19.
Piepkorn, Michael W., Laurence J. Meyer, David E. Goldgar, et al.. (1989). The dysplastic melanocytic nevus: A prevalent lesion that correlates poorly with clinical phenotype. Journal of the American Academy of Dermatology. 20(3). 407–415. 98 indexed citations
20.
Kadunce, Donald P., Laurence J. Meyer, & John J. Zone. (1989). IgA Class Antibodies in Dermatitis Herpetiformis: Reaction With Tissue Antigens. Journal of Investigative Dermatology. 93(2). 253–258. 15 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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