Laurence M. Vaughan

925 total citations
28 papers, 674 citations indexed

About

Laurence M. Vaughan is a scholar working on Epidemiology, Molecular Biology and Genetics. According to data from OpenAlex, Laurence M. Vaughan has authored 28 papers receiving a total of 674 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 10 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Laurence M. Vaughan's work include Cervical Cancer and HPV Research (12 papers), Molecular Biology Techniques and Applications (7 papers) and Aquaculture disease management and microbiota (6 papers). Laurence M. Vaughan is often cited by papers focused on Cervical Cancer and HPV Research (12 papers), Molecular Biology Techniques and Applications (7 papers) and Aquaculture disease management and microbiota (6 papers). Laurence M. Vaughan collaborates with scholars based in United States, Ireland and United Kingdom. Laurence M. Vaughan's co-authors include Timothy J. Foster, Christopher J. Secombes, Timothy J. Foster, P.R. Smith, Sean Ennis, Aspinas Chapwanya, Karen Yanson, Valentin Parvu, Mark Schiffman and Mark H. Stoler and has published in prestigious journals such as Journal of Clinical Microbiology, Infection and Immunity and International Journal of Cancer.

In The Last Decade

Laurence M. Vaughan

27 papers receiving 640 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laurence M. Vaughan United States 17 300 192 188 107 104 28 674
Yongxi Dou China 14 221 0.7× 253 1.3× 91 0.5× 32 0.3× 88 0.8× 42 644
Isabelle Grosjean France 9 437 1.5× 153 0.8× 310 1.6× 32 0.3× 74 0.7× 13 805
Vincent Wellemans Canada 13 190 0.6× 76 0.4× 127 0.7× 22 0.2× 33 0.3× 24 671
Anouk Willemsen Spain 13 143 0.5× 146 0.8× 50 0.3× 41 0.4× 91 0.9× 27 509
V. Mazarin France 11 165 0.6× 120 0.6× 55 0.3× 40 0.4× 162 1.6× 12 441
Marek Niemiałtowski Poland 14 321 1.1× 116 0.6× 340 1.8× 14 0.1× 128 1.2× 58 696
I. Selman United Kingdom 14 173 0.6× 89 0.5× 109 0.6× 54 0.5× 59 0.6× 35 653
Véronique Bachy United Kingdom 13 124 0.4× 233 1.2× 288 1.5× 20 0.2× 75 0.7× 27 701
Deyan Luo China 15 201 0.7× 93 0.5× 174 0.9× 16 0.1× 36 0.3× 33 577
Y. Ishikawa Japan 13 104 0.3× 48 0.3× 122 0.6× 39 0.4× 33 0.3× 49 553

Countries citing papers authored by Laurence M. Vaughan

Since Specialization
Citations

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

Fields of papers citing papers by Laurence M. Vaughan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laurence M. Vaughan

This figure shows the co-authorship network connecting the top 25 collaborators of Laurence M. Vaughan. A scholar is included among the top collaborators of Laurence M. Vaughan 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 M. Vaughan. Laurence M. Vaughan 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.
Vaughan, Laurence M., et al.. (2024). Variables that impact HPV test accuracy during vaginal self collection workflow for cervical cancer screening. Gynecologic Oncology Reports. 54. 101421–101421.
2.
Stoler, Mark H., Valentin Parvu, Karen Yanson, Jeffrey C Andrews, & Laurence M. Vaughan. (2023). Risk stratification of HPV-positive results using extended genotyping and cytology: Data from the baseline phase of the Onclarity trial. Gynecologic Oncology. 174. 68–75. 10 indexed citations
3.
Taylor, Stephanie N., David M. Wolfe, Catherine L. Cammarata, et al.. (2022). Validation of a New High-Throughput BD COR System Using the BD CTGCTV2 Assay. Journal of Molecular Diagnostics. 24(5). 485–493. 3 indexed citations
4.
Taylor, Stephanie N., Catherine L. Cammarata, Benjamin von Bredow, et al.. (2021). Evaluation of the Onclarity HPV assay on the high-throughput COR system. Expert Review of Molecular Diagnostics. 21(3). 333–342. 3 indexed citations
5.
Young, Stephen, Laurence M. Vaughan, Karen Yanson, et al.. (2020). Analytical and Clinical Sample Performance Characteristics of the Onclarity Assay for the Detection of Human Papillomavirus. Journal of Clinical Microbiology. 59(1). 7 indexed citations
6.
Stoler, Mark H., Thomas C. Wright, Valentin Parvu, et al.. (2018). The Onclarity Human Papillomavirus Trial: Design, methods, and baseline results. Gynecologic Oncology. 149(3). 498–505. 50 indexed citations
7.
Castro, Felipe A., Jill Koshiol, Wim Quint, et al.. (2015). Detection of HPV DNA in paraffin-embedded cervical samples: a comparison of four genotyping methods. BMC Infectious Diseases. 15(1). 544–544. 39 indexed citations
8.
Schiffman, Mark, Laurence M. Vaughan, Tina Raine‐Bennett, et al.. (2015). A study of HPV typing for the management of HPV-positive ASC-US cervical cytologic results. Gynecologic Oncology. 138(3). 573–578. 46 indexed citations
9.
Chapwanya, Aspinas, et al.. (2008). Comparison of the Immulite and RIA assay methods for measuring peripheral blood progesterone levels in Greyhound bitches. Theriogenology. 70(5). 795–799. 34 indexed citations
10.
Chapwanya, Aspinas, et al.. (2008). Breeding soundness evaluation of bulls by semen analysis, testicular fine needle aspiration cytology and trans-scrotal ultrasonography. Irish Veterinary Journal. 61(5). 315–8. 22 indexed citations
11.
Phenix, K. V., et al.. (2001). Formation of Infectious Pancreatic Necrosis Virus–like Particles Following Expression of Segment A by Recombinant Semliki Forest Virus. Marine Biotechnology. 3(2). 103–110. 15 indexed citations
12.
Vaughan, Laurence M., et al.. (2001). Sry-negative XX sex reversal in a pony: a case report. Theriogenology. 55(5). 1051–1057. 19 indexed citations
13.
Ennis, Sean, Laurence M. Vaughan, & T. F. Gallagher. (1999). The diagnosis of freemartinism in cattle using sex-specific DNA sequences. Research in Veterinary Science. 67(1). 111–112. 21 indexed citations
14.
Vaughan, Laurence M., et al.. (1998). An abattoir survey of ovine reproductive tracts in Ireland. Theriogenology. 50(3). 457–464. 23 indexed citations
15.
Vaughan, Laurence M., et al.. (1998). Potency testing of a live, genetically attenuated vaccine for salmonids. Vaccine. 16(11-12). 1087–1094. 30 indexed citations
16.
Vaughan, Laurence M., Eamonn Fitzpatrick, M.P. Boland, & J Roche. (1996). A histological study of corpora lutea from superovulated beef heifers. Animal Reproduction Science. 43(1). 1–14. 4 indexed citations
17.
18.
Prendiville, Daniel J., W. J. Enright, M.A. Crowe, Laurence M. Vaughan, & J Roche. (1995). Immunization of prepubertal beef heifers against gonadotropin-releasing hormone: immune, estrus, ovarian, and growth responses.. Journal of Animal Science. 73(10). 3030–3030. 18 indexed citations
19.
Vaughan, Laurence M., Pete Smith, & Timothy J. Foster. (1990). Aromatic-dependent mutants of Aeromonas salmonicida. Research in Microbiology. 141(7-8). 941–943. 7 indexed citations
20.
Vaughan, Laurence M., et al.. (1989). Characterization of Aeromonas salmonicida Strains using DNA Probe Technology. Canadian Journal of Fisheries and Aquatic Sciences. 46(5). 877–879. 2 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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