M S Hughes

887 total citations
20 papers, 687 citations indexed

About

M S Hughes is a scholar working on Epidemiology, Infectious Diseases and Surgery. According to data from OpenAlex, M S Hughes has authored 20 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Epidemiology, 16 papers in Infectious Diseases and 5 papers in Surgery. Recurrent topics in M S Hughes's work include Mycobacterium research and diagnosis (18 papers), Tuberculosis Research and Epidemiology (14 papers) and Diagnosis and treatment of tuberculosis (4 papers). M S Hughes is often cited by papers focused on Mycobacterium research and diagnosis (18 papers), Tuberculosis Research and Epidemiology (14 papers) and Diagnosis and treatment of tuberculosis (4 papers). M S Hughes collaborates with scholars based in United Kingdom, Australia and Ireland. M S Hughes's co-authors include Robin Skuce, S.D. Neill, David Brittain, Solvig Roring, Richard Malík, N. W. Ball, Daria N. Love, D. I. Wigney, Mark Rogers and David Mitchell and has published in prestigious journals such as Journal of Clinical Microbiology, Veterinary Microbiology and FEMS Microbiology Letters.

In The Last Decade

M S Hughes

20 papers receiving 635 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M S Hughes United Kingdom 16 537 461 152 148 104 20 687
C. Bernasconi Switzerland 9 850 1.6× 831 1.8× 192 1.3× 243 1.6× 137 1.3× 9 994
D. I. Wigney Australia 23 807 1.5× 623 1.4× 355 2.3× 63 0.4× 88 0.8× 33 1.2k
M. J. Gevaudan France 9 385 0.7× 298 0.6× 160 1.1× 66 0.4× 114 1.1× 19 567
M. Miègeville France 16 447 0.8× 582 1.3× 95 0.6× 37 0.3× 71 0.7× 47 973
Christine Doig United Kingdom 12 426 0.8× 426 0.9× 61 0.4× 168 1.1× 92 0.9× 15 639
D.V. Cousins Australia 8 514 1.0× 351 0.8× 241 1.6× 80 0.5× 120 1.2× 9 619
Maria Globan Australia 17 663 1.2× 467 1.0× 333 2.2× 164 1.1× 58 0.6× 40 891
T. J. Hellyer United Kingdom 12 358 0.7× 336 0.7× 30 0.2× 168 1.1× 130 1.3× 14 530
Jacqueline Xerry United Kingdom 16 154 0.3× 634 1.4× 64 0.4× 125 0.8× 66 0.6× 22 881
Monica Cagiola Italy 15 358 0.7× 481 1.0× 76 0.5× 121 0.8× 71 0.7× 38 676

Countries citing papers authored by M S Hughes

Since Specialization
Citations

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

Fields of papers citing papers by M S Hughes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M S Hughes

This figure shows the co-authorship network connecting the top 25 collaborators of M S Hughes. A scholar is included among the top collaborators of M S Hughes 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 M S Hughes. M S Hughes 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.
Fyfe, Janet, Christina McCowan, C. O’Brien, et al.. (2007). Molecular Characterization of a Novel Fastidious Mycobacterium Causing Lepromatous Lesions of the Skin, Subcutis, Cornea, and Conjunctiva of Cats Living in Victoria, Australia. Journal of Clinical Microbiology. 46(2). 618–626. 33 indexed citations
2.
Hughes, M S, et al.. (2006). Development of mycobacterial species-specific DNA probes by subtraction hybridization. FEMS Microbiology Letters. 156(1). 31–36. 2 indexed citations
3.
Hughes, M S, N. W. Ball, Michael Taylor, et al.. (2005). Molecular analyses of mycobacteria other than the M. tuberculosis complex isolated from Northern Ireland cattle. Veterinary Microbiology. 108(1-2). 101–112. 29 indexed citations
4.
McCormick, Carl, et al.. (2004). Mycobacterium nonchromogenicum in nasal mucus from cattle in a herd infected with bovine tuberculosis. Veterinary Microbiology. 99(3-4). 281–285. 13 indexed citations
5.
Skuce, Robin, et al.. (2003). Detection of Pathogenic Mycobacteria of Veterinary Importance. Humana Press eBooks. 216. 201–222. 4 indexed citations
6.
Hughes, M S, Michael Taylor, S.D. Neill, et al.. (2003). PCR studies of feline leprosy cases. Journal of Feline Medicine and Surgery. 6(4). 235–243. 18 indexed citations
7.
Hughes, M S, et al.. (2001). Detection of Mycobacterium bovis in Bovine Clinical Specimens Using Real-Time Fluorescence and Fluorescence Resonance Energy Transfer Probe Rapid-Cycle PCR. Journal of Clinical Microbiology. 39(4). 1272–1278. 47 indexed citations
8.
Hughes, M S, Mark Scally, Richard Malík, et al.. (2000). Identification by 16S rRNA Gene Analyses of a Potential Novel Mycobacterial Species as an Etiological Agent of Canine Leproid Granuloma Syndrome. Journal of Clinical Microbiology. 38(3). 953–959. 53 indexed citations
9.
Roring, Solvig, M S Hughes, Robin Skuce, & S.D. Neill. (2000). Simultaneous detection and strain differentiation of Mycobacterium bovis directly from bovine tissue specimens by spoligotyping. Veterinary Microbiology. 74(3). 227–236. 47 indexed citations
10.
Hughes, M S, N. W. Ball, Daria N. Love, et al.. (1999). Disseminated Mycobacterium Genavense Infection in a FIV-Positive Cat. Journal of Feline Medicine and Surgery. 1(1). 23–29. 43 indexed citations
11.
Roring, Solvig, David Brittain, Annelies E. Bunschoten, et al.. (1998). Spacer oligotyping of Mycobacterium bovis isolates compared to typing by restriction fragment length polymorphism using PGRS, DR and IS6110 probes. Veterinary Microbiology. 61(1-2). 111–120. 43 indexed citations
12.
Roring, Solvig, et al.. (1998). Rapid diagnosis and strain differentiation of Mycobacterium bovis in radiometric culture by spoligotyping. Veterinary Microbiology. 61(1-2). 71–80. 21 indexed citations
13.
Hughes, M S, et al.. (1997). Determination of the etiology of presumptive feline leprosy by 16S rRNA gene analysis. Journal of Clinical Microbiology. 35(10). 2464–2471. 41 indexed citations
14.
Hughes, M S, S.D. Neill, & Mark Rogers. (1996). Vaccination of the badger (Meles meles) against Mycobacterium bovis. Veterinary Microbiology. 51(3-4). 363–379. 25 indexed citations
15.
Skuce, Robin, David Brittain, M S Hughes, & S.D. Neill. (1996). Differentiation of Mycobacterium bovis isolates from animals by DNA typing. Journal of Clinical Microbiology. 34(10). 2469–2474. 41 indexed citations
16.
Hughes, M S, et al.. (1994). Identification and elimination of DNA sequences in Taq DNA polymerase. Journal of Clinical Microbiology. 32(8). 2007–2008. 81 indexed citations
17.
Skuce, Robin, et al.. (1994). Genomic fingerprinting of Mycobacterium bovis from cattle by restriction fragment length polymorphism analysis. Journal of Clinical Microbiology. 32(10). 2387–2392. 48 indexed citations
18.
Hughes, M S, et al.. (1993). A nucleotide sequence comparison of coxsackievirus B4 isolates from aquatic samples and clinical specimens. Epidemiology and Infection. 110(2). 389–398. 12 indexed citations
19.
20.
Hughes, M S, et al.. (1992). Enteroviruses in recreational waters of Northern Ireland. Epidemiology and Infection. 108(3). 529–536. 18 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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