Laure Aurelian

15.7k total citations
186 papers, 5.6k citations indexed

About

Laure Aurelian is a scholar working on Epidemiology, Genetics and Immunology. According to data from OpenAlex, Laure Aurelian has authored 186 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 123 papers in Epidemiology, 61 papers in Genetics and 53 papers in Immunology. Recurrent topics in Laure Aurelian's work include Herpesvirus Infections and Treatments (112 papers), Virus-based gene therapy research (56 papers) and Cytomegalovirus and herpesvirus research (42 papers). Laure Aurelian is often cited by papers focused on Herpesvirus Infections and Treatments (112 papers), Virus-based gene therapy research (56 papers) and Cytomegalovirus and herpesvirus research (42 papers). Laure Aurelian collaborates with scholars based in United States, Austria and Japan. Laure Aurelian's co-authors include Cynthia C. Smith, Paul O. P. Ts’o, Michael Kulka, Bernard Roizman, Ivor Royston, Joseph W. Burnett, Irina Balan, Michael D. Gober, Edna F. R. Pereira and John F. Sheridan 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

Laure Aurelian

184 papers receiving 5.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laure Aurelian United States 43 2.7k 1.8k 1.3k 1.1k 792 186 5.6k
Thomas R. Jones United States 48 4.9k 1.8× 2.1k 1.2× 641 0.5× 3.2k 2.9× 850 1.1× 172 10.2k
Gene B. Hubbard United States 42 1.4k 0.5× 1.8k 1.0× 784 0.6× 741 0.7× 291 0.4× 239 6.7k
Gérard Torpier France 41 1.2k 0.4× 2.4k 1.4× 357 0.3× 1.4k 1.3× 912 1.2× 99 7.0k
Daniel J.J. Carr United States 48 2.6k 1.0× 1.8k 1.0× 433 0.3× 2.8k 2.5× 784 1.0× 203 6.7k
Don J. Diamond United States 49 3.0k 1.1× 3.1k 1.8× 1.2k 0.9× 2.8k 2.5× 1.7k 2.2× 177 9.4k
Tibor Vályi-Nagy United States 37 1.9k 0.7× 1.1k 0.6× 542 0.4× 751 0.7× 256 0.3× 126 4.0k
Michael Eckhaus United States 47 1.3k 0.5× 4.8k 2.7× 1.4k 1.1× 2.0k 1.8× 1.5k 1.9× 114 10.2k
Eric J. Brown United States 43 1.4k 0.5× 4.7k 2.7× 1.1k 0.9× 1.9k 1.7× 790 1.0× 60 8.6k
Kohji Moriishi Japan 41 1.8k 0.7× 2.4k 1.3× 519 0.4× 949 0.8× 387 0.5× 145 5.8k
Birgit Ledermann Switzerland 36 1.1k 0.4× 3.5k 2.0× 798 0.6× 3.8k 3.4× 921 1.2× 43 9.6k

Countries citing papers authored by Laure Aurelian

Since Specialization
Citations

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

Fields of papers citing papers by Laure Aurelian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laure Aurelian

This figure shows the co-authorship network connecting the top 25 collaborators of Laure Aurelian. A scholar is included among the top collaborators of Laure Aurelian 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 Laure Aurelian. Laure Aurelian 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.
Balan, Irina, et al.. (2021). Neurosteroid allopregnanolone (3α,5α-THP) inhibits inflammatory signals induced by activated MyD88-dependent toll-like receptors. Translational Psychiatry. 11(1). 145–145. 56 indexed citations
2.
Balan, Irina, Matthew C. Beattie, Todd K. O’Buckley, Laure Aurelian, & A. Leslie Morrow. (2019). Endogenous Neurosteroid (3α,5α)3-Hydroxypregnan-20-one Inhibits Toll-like-4 Receptor Activation and Pro-inflammatory Signaling in Macrophages and Brain. Scientific Reports. 9(1). 1220–1220. 90 indexed citations
3.
Gomez‐Ospina, Natalia, Rasmus O. Bak, Sruthi Mantri, et al.. (2019). Human genome-edited hematopoietic stem cells phenotypically correct Mucopolysaccharidosis type I. Nature Communications. 10(1). 4045–4045. 93 indexed citations
4.
Tamošiūnienė, Rasa, Paul Mésange, Toshie Saito, et al.. (2018). Dominant Role for Regulatory T Cells in Protecting Females Against Pulmonary Hypertension. Circulation Research. 122(12). 1689–1702. 100 indexed citations
5.
Hsu, Joe L., Karl V. Clemons, Mohammed Inayathullah, et al.. (2018). Microhemorrhage-associated tissue iron enhances the risk for Aspergillus fumigatus invasion in a mouse model of airway transplantation. Science Translational Medicine. 10(429). 26 indexed citations
6.
Aurelian, Laure, Dominique Bollino, & Aric Colunga. (2016). The oncolytic virus ΔPK has multimodal anti-tumor activity. Pathogens and Disease. 74(5). ftw050–ftw050. 9 indexed citations
7.
Aurelian, Laure, Kaitlin T. Warnock, Irina Balan, Adam C. Puché, & Harry L. June. (2016). TLR4 signaling in VTA dopaminergic neurons regulates impulsivity through tyrosine hydroxylase modulation. Translational Psychiatry. 6(5). e815–e815. 31 indexed citations
8.
Aurelian, Laure. (2013). Oncolytic virotherapy: the questions and the promise. SHILAP Revista de lepidopterología. 2. 19–19. 20 indexed citations
11.
Gober, Michael D., et al.. (2006). Intranasal Administration of the Growth-Compromised HSV-2 Vector ΔRR Prevents Kainate-Induced Seizures and Neuronal Loss in Rats and Mice. Molecular Therapy. 13(5). 870–881. 37 indexed citations
12.
Aurelian, Laure. (2005). HSV-Induced Apoptosis in Herpes Encephalitis. Current topics in microbiology and immunology. 289. 79–111. 27 indexed citations
13.
Ono, Fumitake, Sharma Bk, Cynthia C. Smith, Joseph W. Burnett, & Laure Aurelian. (2005). CD34+ Cells in the Peripheral Blood Transport Herpes Simplex Virus DNA Fragments to the Skin of Patients with Erythema Multiforme (HAEM). Journal of Investigative Dermatology. 124(6). 1215–1224. 27 indexed citations
14.
Gyure, Kymberly A., et al.. (2003). Herpes Simplex Virus Type 1-Induced Encephalitis has an Apoptotic Component Associated with Activation of c-Jun N-Terminal Kinase. Journal of NeuroVirology. 9(1). 101–111. 57 indexed citations
15.
Radwan, Faisal F.Y., et al.. (2001). A comparison of the toxinological characteristics of two Cassiopea and Aurelia species. Toxicon. 39(2-3). 245–257. 58 indexed citations
16.
Smith, Cynthia C. & Laure Aurelian. (1997). The Large Subunit of Herpes Simplex Virus Type 2 Ribonucleotide Reductase (ICP10) Is Associated with the Virion Tegument and Has PK Activity. Virology. 234(2). 235–242. 25 indexed citations
18.
Smith, Cynthia C., Michael Kulka, James Wymer, Theodore D. Chung, & Laure Aurelian. (1992). Expression of the large subunit of herpes simplex virus type 2 ribonucleotide reductase (ICP10) is required for virus growth and neoplastic transformation. Journal of General Virology. 73(6). 1417–1428. 23 indexed citations
19.
Smith, Cynthia C., James Wymer, Jianhua Luo, & Laure Aurelian. (1991). Genomic sequences homologous to the protein kinase region of the bifunctional herpes simplex virus type 2 protein ICP10. Virus Genes. 5(3). 215–226. 13 indexed citations
20.
Aurelian, Laure. (1976). Coitus and cancer.. 52(8). 910–934. 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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