H. Salord

410 total citations
16 papers, 253 citations indexed

About

H. Salord is a scholar working on Epidemiology, Microbiology and Physiology. According to data from OpenAlex, H. Salord has authored 16 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 6 papers in Microbiology and 5 papers in Physiology. Recurrent topics in H. Salord's work include Reproductive tract infections research (5 papers), Syphilis Diagnosis and Treatment (5 papers) and Bacterial Identification and Susceptibility Testing (4 papers). H. Salord is often cited by papers focused on Reproductive tract infections research (5 papers), Syphilis Diagnosis and Treatment (5 papers) and Bacterial Identification and Susceptibility Testing (4 papers). H. Salord collaborates with scholars based in France, United States and Central African Republic. H. Salord's co-authors include Emmanuelle Bergeron, S. Tigaud, Benoît Cournoyer, Anne Doléans-Jordheim, Jean André, Frédéric Laurent, J. Freney, J. Croizé, Franck Renaud and Pierre‐Loïc Cornut and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and Journal of Clinical Microbiology.

In The Last Decade

H. Salord

14 papers receiving 242 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
H. Salord France 11 109 70 67 57 41 16 253
Prenilla Naidu Canada 10 165 1.5× 56 0.8× 80 1.2× 33 0.6× 20 0.5× 23 292
Colette O’Neill United Kingdom 9 122 1.1× 72 1.0× 36 0.5× 41 0.7× 18 0.4× 10 205
Fred Weir United States 5 71 0.7× 109 1.6× 30 0.4× 124 2.2× 62 1.5× 7 273
Beatriz Perazzi Argentina 10 92 0.8× 87 1.2× 13 0.2× 98 1.7× 17 0.4× 38 272
Liselotte Coorevits Belgium 11 58 0.5× 205 2.9× 30 0.4× 75 1.3× 30 0.7× 27 374
C Nwabuisi Nigeria 9 49 0.4× 134 1.9× 16 0.2× 88 1.5× 27 0.7× 35 370
Holmes Kk United States 8 237 2.2× 221 3.2× 47 0.7× 54 0.9× 11 0.3× 19 387
Ankie Lebon Netherlands 9 63 0.6× 131 1.9× 32 0.5× 157 2.8× 8 0.2× 12 365
Aliña Llop Cuba 11 65 0.6× 84 1.2× 32 0.5× 96 1.7× 13 0.3× 34 291
Judit Serra-Pladevall Spain 14 299 2.7× 85 1.2× 137 2.0× 36 0.6× 13 0.3× 36 366

Countries citing papers authored by H. Salord

Since Specialization
Citations

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

Fields of papers citing papers by H. Salord

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of H. Salord

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

All Works

16 of 16 papers shown
1.
Ginévra, Christophe, Olivier Dauwalder, Yvonne Benito, et al.. (2023). IMPROVING THE DIAGNOSIS OF BONE AND JOINT INFECTIONS: EVALUATION OF 16S RRNA METAGENOMICS. Orthopaedic Proceedings. 105-B(SUPP_17). 74–74.
2.
Bouchiat, Coralie, Christophe Ginévra, Yvonne Benito, et al.. (2022). Improving the Diagnosis of Bacterial Infections: Evaluation of 16S rRNA Nanopore Metagenomics in Culture-Negative Samples. Frontiers in Microbiology. 13. 943441–943441. 10 indexed citations
3.
Rahib, Delphine, Béatrice Berçot, Héloïse Delagrèverie, et al.. (2022). Online self-sampling kits for human immunodeficiency virus and other sexually transmitted infections: Feasibility, positivity rates, and factors associated with infections in France. International Journal of STD & AIDS. 33(4). 355–362. 12 indexed citations
4.
Pujić, Petar, Christian Paquet, Emmanuelle Bergeron, et al.. (2020). Microbial risk assessment of Nocardia cyriacigeorgica in polluted environments, case of urban rainfall water. Computational and Structural Biotechnology Journal. 19. 384–400. 6 indexed citations
5.
Coussement, Julien, David Lebeaux, Deborah Steensels, et al.. (2019). Nocardia polymerase chain reaction (PCR)-based assay performed on bronchoalveolar lavage fluid after lung transplantation: A prospective pilot study. PLoS ONE. 14(2). e0211989–e0211989. 15 indexed citations
6.
Voirin, Nicolas, Caroline Charre, Christine Fernandez, et al.. (2019). Optimizing Strategies for Chlamydia trachomatis and Neisseria gonorrhoeae Screening in Men Who Have Sex With Men: A Modeling Study. Clinical Infectious Diseases. 70(9). 1966–1972. 9 indexed citations
7.
Pereyre, Sabine, Cécile Bébéar, A. Beby‐Defaux, et al.. (2016). Mycoplasma genitalium and Trichomonas vaginalis in France: a point prevalence study in people screened for sexually transmitted diseases. Clinical Microbiology and Infection. 23(2). 122.e1–122.e7. 33 indexed citations
8.
Breurec, Sébastien, Coralie Bouchiat, Jean-Marie Sire, et al.. (2016). High third-generation cephalosporin resistant Enterobacteriaceae prevalence rate among neonatal infections in Dakar, Senegal. BMC Infectious Diseases. 16(1). 587–587. 26 indexed citations
9.
Dupieux, Céline, Sophie Trouillet‐Assant, Jason Tasse, et al.. (2016). Evaluation of a commercial immunochromatographic assay for rapid routine identification of PBP2a-positive Staphylococcus aureus and coagulase-negative staphylococci. Diagnostic Microbiology and Infectious Disease. 86(3). 262–264. 14 indexed citations
10.
Gayet‐Ageron, Angèle, Frédéric Laurent, Jacques Schrenzel, et al.. (2014). Performance of the 47-Kilodalton Membrane Protein versus DNA Polymerase I Genes for Detection of Treponema pallidum by PCR in Ulcers. Journal of Clinical Microbiology. 53(3). 976–980. 12 indexed citations
11.
Cornut, Pierre‐Loïc, Chantal Sobas, Laurent Pérard, et al.. (2011). Detection ofTreponema pallidumin Aqueous Humor by Real-time Polymerase Chain Reaction. Ocular Immunology and Inflammation. 19(2). 127–128. 24 indexed citations
12.
Doléans-Jordheim, Anne, Benoît Cournoyer, Emmanuelle Bergeron, et al.. (2009). Reliability of Pseudomonas aeruginosa semi-automated rep-PCR genotyping in various epidemiological situations. European Journal of Clinical Microbiology & Infectious Diseases. 28(9). 1105–1111. 37 indexed citations
13.
Amine, Idriss Lahlou, et al.. (2008). Pseudomonas aeruginosa et résistance isolée à l’imipénème : clone émergent en milieu hospitalier ?. 3(11). 1 indexed citations
14.
Perpoint, T., et al.. (2006). Secondary Pulmonary Syphilis: Report of A Likely Case and Literature Review. Clinical Infectious Diseases. 42(3). e11–e15. 27 indexed citations
15.
Cêtre, Jean-Charles, Marie‐Christine Nicolle, H. Salord, et al.. (2005). Outbreaks of contaminated broncho-alveolar lavage related to intrinsically defective bronchoscopes. Journal of Hospital Infection. 61(1). 39–45. 23 indexed citations
16.
Foissaud, Vincent, et al.. (1999). [Inter-laboratory reproducibility of pulsed-field electrophoresis for the study of 12 types of Pseudomonas aeruginosa].. PubMed. 47(10). 1053–9. 4 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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