Michael G. Dove

407 total citations
8 papers, 339 citations indexed

About

Michael G. Dove is a scholar working on Molecular Medicine, Molecular Biology and Epidemiology. According to data from OpenAlex, Michael G. Dove has authored 8 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Medicine, 3 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in Michael G. Dove's work include Antibiotic Resistance in Bacteria (4 papers), Bacterial biofilms and quorum sensing (3 papers) and Bacterial Identification and Susceptibility Testing (2 papers). Michael G. Dove is often cited by papers focused on Antibiotic Resistance in Bacteria (4 papers), Bacterial biofilms and quorum sensing (3 papers) and Bacterial Identification and Susceptibility Testing (2 papers). Michael G. Dove collaborates with scholars based in South Africa and France. Michael G. Dove's co-authors include Gerhard F. Weldhagen, Laurent Poirel, Patrice Nordmann, Christophe de Champs, Thierry Naas, Marthie M. Ehlers, A A Hoosen, Marleen M. Kock, Ruth Lekalakala and Shaheed Vally Omar and has published in prestigious journals such as Antimicrobial Agents and Chemotherapy, International Journal of Antimicrobial Agents and Current Microbiology.

In The Last Decade

Michael G. Dove

8 papers receiving 328 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael G. Dove South Africa	6	259	144	100	74	62	8	339
Encho Savov Bulgaria	12	217 0.8×	113 0.8×	101 1.0×	63 0.9×	88 1.4×	23	361
Jeanette Pham Australia	6	304 1.2×	103 0.7×	145 1.4×	99 1.3×	52 0.8×	9	466
Jimena Alba Japan	13	314 1.2×	114 0.8×	157 1.6×	60 0.8×	79 1.3×	16	405
E. Giacobone Italy	7	319 1.2×	137 1.0×	165 1.6×	83 1.1×	39 0.6×	8	393
Anis Ben Haj Khalifa Tunisia	9	260 1.0×	127 0.9×	115 1.1×	73 1.0×	40 0.6×	15	354
Patrick Noury France	9	307 1.2×	97 0.7×	124 1.2×	67 0.9×	46 0.7×	12	352
Sara Soheili Malaysia	6	242 0.9×	106 0.7×	89 0.9×	70 0.9×	65 1.0×	6	363
Farouk Barguellil Tunisia	11	206 0.8×	76 0.5×	102 1.0×	50 0.7×	70 1.1×	24	291
Souhila Alouache Algeria	7	356 1.4×	122 0.8×	159 1.6×	122 1.6×	45 0.7×	8	414
H. Malamou‐Lada Greece	6	220 0.8×	67 0.5×	79 0.8×	47 0.6×	62 1.0×	8	309

Countries citing papers authored by Michael G. Dove

Since Specialization

Citations

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

Fields of papers citing papers by Michael G. Dove

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael G. Dove. 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 Michael G. Dove. The network helps show where Michael G. Dove may publish in the future.

Co-authorship network of co-authors of Michael G. Dove

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

All Works

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8 of 8 papers shown

Ehlers, Marthie M., et al.. (2009). Detection ofbla_SHV,bla_TEMandbla_CTX-Mantibiotic resistance genes in randomly selected bacterial pathogens from the Steve Biko Academic Hospital. FEMS Immunology & Medical Microbiology. 56(3). 191–196. 36 indexed citations

Kock, Marleen M., A A Hoosen, Ruth Lekalakala, et al.. (2009). Molecular identification and genotyping of MRSA isolates. FEMS Immunology & Medical Microbiology. 57(2). 104–115. 52 indexed citations

Weldhagen, Gerhard F., et al.. (2008). Emergence of class 1 integron-associated GES-5 and GES-5-like extended-spectrum β-lactamases in clinical isolates of Pseudomonas aeruginosa in South Africa. International Journal of Antimicrobial Agents. 31(6). 527–530. 33 indexed citations

Ehlers, Marthie M., et al.. (2007). Diversity of bla-type genes in extended-spectrum β-lactamase-producing Klebsiella pneumoniae isolated during 2003 — 2004 at Pretoria Academic Hospital. Southern African Journal of Epidemiology and Infection. 22(1). 5–7. 4 indexed citations

Hoosen, A A, H. H. Crewe-Brown, Michael G. Dove, et al.. (2005). Antimicrobial Susceptibility Profile of Selected Invasive Pathogens from Academic Hospitals in South Africa for the years 2001 to 2004. Southern African Journal of Epidemiology and Infection. 20(3). 85–89. 6 indexed citations

Poirel, Laurent, Gerhard F. Weldhagen, Thierry Naas, et al.. (2001). GES-2, a Class A β-Lactamase from Pseudomonas aeruginosa with Increased Hydrolysis of Imipenem. Antimicrobial Agents and Chemotherapy. 45(9). 2598–2603. 188 indexed citations

Dove, Michael G., et al.. (1998). Genetic Transformation in Haemophilus parainfluenzae Clinical Isolates. Current Microbiology. 37(2). 123–126. 19 indexed citations

Romberg, Robert W., et al.. (1992). Factors influencing confirmed drug positives for Navy and Marine Corps recruits.. PubMed. 157(1). 33–7. 1 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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