Véronique Bachy

844 total citations
27 papers, 701 citations indexed

About

Véronique Bachy is a scholar working on Immunology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Véronique Bachy has authored 27 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 10 papers in Molecular Biology and 8 papers in Infectious Diseases. Recurrent topics in Véronique Bachy's work include Immunotherapy and Immune Responses (8 papers), HIV Research and Treatment (6 papers) and Prion Diseases and Protein Misfolding (6 papers). Véronique Bachy is often cited by papers focused on Immunotherapy and Immune Responses (8 papers), HIV Research and Treatment (6 papers) and Prion Diseases and Protein Misfolding (6 papers). Véronique Bachy collaborates with scholars based in United Kingdom, France and United States. Véronique Bachy's co-authors include Philip J. Hogarth, Daryan A. Kaveh, Mohammad A. A. Ibrahim, David Williams, R. Glyn Hewinson, Claude Carnaud, M. Carmen García‐Pelayo, Linda S. Klavinskis, Steven Patterson and Takis Athanasopoulos and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and PLoS ONE.

In The Last Decade

Véronique Bachy

27 papers receiving 689 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Véronique Bachy United Kingdom 13 288 233 200 124 116 27 701
Lakshmi Jayashankar United States 16 346 1.2× 166 0.7× 298 1.5× 304 2.5× 57 0.5× 21 783
Patrice A. Frost United States 11 369 1.3× 213 0.9× 228 1.1× 228 1.8× 251 2.2× 20 830
Keiko Fujihashi United States 18 884 3.1× 168 0.7× 163 0.8× 243 2.0× 30 0.3× 31 1.3k
Lauren A. Hirao United States 17 455 1.6× 398 1.7× 195 1.0× 243 2.0× 375 3.2× 26 1.1k
Byoung-Shik Shim South Korea 14 139 0.5× 158 0.7× 293 1.5× 184 1.5× 14 0.1× 23 614
Victor C. Huber United States 19 600 2.1× 201 0.9× 302 1.5× 933 7.5× 35 0.3× 48 1.4k
Joo-Sung Yang South Korea 16 400 1.4× 335 1.4× 221 1.1× 143 1.2× 166 1.4× 19 910
Ling Wu United States 15 432 1.5× 237 1.0× 235 1.2× 193 1.6× 269 2.3× 21 877
F W Heessen Netherlands 16 455 1.6× 158 0.7× 180 0.9× 523 4.2× 49 0.4× 23 1.1k
Huiyun Chang China 19 216 0.8× 410 1.8× 266 1.3× 168 1.4× 14 0.1× 95 1.3k

Countries citing papers authored by Véronique Bachy

Since Specialization
Citations

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

Fields of papers citing papers by Véronique Bachy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Véronique Bachy

This figure shows the co-authorship network connecting the top 25 collaborators of Véronique Bachy. A scholar is included among the top collaborators of Véronique Bachy 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 Véronique Bachy. Véronique Bachy 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
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Normand, Valérie, et al.. (2020). Comparison of qPCR and blood smear microscopy for the diagnosis of Mycoplasma suis in a French veterinary practice. Porcine Health Management. 6(1). 3–3. 8 indexed citations
4.
Valat, Charlotte, Antoine Drapeau, Stéphanie Beurlet, et al.. (2020). Pathogenic Escherichia coli in Dogs Reveals the Predominance of ST372 and the Human-Associated ST73 Extra-Intestinal Lineages. Frontiers in Microbiology. 11. 580–580. 42 indexed citations
5.
Bachy, Véronique, et al.. (2017). Frequency of feline blood types in non-pedigree cats in France.. Revue Méd Vét. 168. 235–240. 8 indexed citations
6.
Kaveh, Daryan A., et al.. (2016). Parenteral adenoviral boost enhances BCG induced protection, but not long term survival in a murine model of bovine TB. Vaccine. 34(34). 4003–4011. 7 indexed citations
7.
García‐Pelayo, M. Carmen, Véronique Bachy, Daryan A. Kaveh, & Philip J. Hogarth. (2014). BALB/c mice display more enhanced BCG vaccine induced Th1 and Th17 response than C57BL/6 mice but have equivalent protection. Tuberculosis. 95(1). 48–53. 47 indexed citations
8.
Chastagner, Amélie, Hélène Verheyden, Loïc Legrand, et al.. (2014). Multilocus sequence analysis of Anaplasma phagocytophilum reveals three distinct lineages with different host ranges in clinically ill French cattle. Veterinary Research. 45(1). 114–114. 1 indexed citations
9.
Chastagner, Amélie, Gwenaël Vourc’h, Hélène Verheyden, et al.. (2014). Multilocus sequence analysis of Anaplasma phagocytophilum reveals three distinct lineages with different host ranges in clinically ill French cattle. Veterinary Research. 45(1). 114–114. 29 indexed citations
10.
Thoma, Clemens, Véronique Bachy, Patricia Seaton, et al.. (2013). Adenovirus serotype 11 causes less long-term intraperitoneal inflammation than serotype 5: Implications for ovarian cancer therapy. Virology. 447(1-2). 74–83. 7 indexed citations
11.
Benlahrech, Adel, Andrea Meiser, S. Herath, et al.. (2012). Fragmentation of SIV-gag Vaccine Induces Broader T Cell Responses. PLoS ONE. 7(10). e48038–e48038. 6 indexed citations
12.
Bachy, Véronique & Pièrre Aucouturier. (2010). Maladies à prions. médecine/sciences. 26(6-7). 615–620. 2 indexed citations
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Benlahrech, Adel, Julian D. Harris, Andrea Meiser, et al.. (2009). Adenovirus vector vaccination induces expansion of memory CD4 T cells with a mucosal homing phenotype that are readily susceptible to HIV-1. Proceedings of the National Academy of Sciences. 106(47). 19940–19945. 119 indexed citations
15.
Bachy, Véronique, et al.. (2009). Mouse vaccination with dendritic cells loaded with prion protein peptides overcomes tolerance and delays scrapie. Journal of General Virology. 91(3). 809–820. 24 indexed citations
16.
Benlahrech, Adel, Julian D. Harris, Andrea Meiser, et al.. (2009). OA07-02. Adenovirus vectors induce expansion of memory CD4 T cells with a mucosal homing phenotype that are readily susceptible to HIV-1 infection. Retrovirology. 6(S3). 1 indexed citations
17.
Athanasopoulos, Takis, Andrea Meiser, Adel Benlahrech, et al.. (2009). P17-21. Using ubiquitin fusion to augment CD8+ T cell immune responses against HIV-1 antigens. Retrovirology. 6(S3). 1 indexed citations
18.
Bachy, Véronique, David Williams, & Mohammad A. A. Ibrahim. (2007). Altered dendritic cell function in normal pregnancy. Journal of Reproductive Immunology. 78(1). 11–21. 62 indexed citations
19.
Ballerini, Clara, Véronique Bachy, Nicolas Blanchard, et al.. (2006). Functional Implication of Cellular Prion Protein in Antigen-Driven Interactions between T Cells and Dendritic Cells. The Journal of Immunology. 176(12). 7254–7262. 66 indexed citations
20.
Bachy, Véronique, et al.. (2005). Regulation of dendritic cell interleukin-12 secretion by tumour cell necrosis. Clinical & Experimental Immunology. 140(1). 54–64. 7 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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