M S Hughes

21 total papers · 887 total citations
20 papers, 684 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 684 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, N. W. Ball, Richard Malík, Daria N. Love, D. I. Wigney, Mark Rogers and Geoffrey W. de Lisle 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 632 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
M S Hughes 535 459 151 148 104 20 684
Ludmila Naumann 560 1.0× 436 0.9× 190 1.3× 183 1.2× 73 0.7× 12 608
Nicoletta Lari 679 1.3× 641 1.4× 142 0.9× 269 1.8× 127 1.2× 36 772
Marie‐Claire Rowlinson 267 0.5× 235 0.5× 80 0.5× 74 0.5× 129 1.2× 26 564
Melissa C. Libal 188 0.4× 299 0.7× 178 1.2× 48 0.3× 157 1.5× 30 762
M. J. Gevaudan 384 0.7× 298 0.6× 160 1.1× 66 0.4× 114 1.1× 19 567
Johanna Mäkinen 444 0.8× 324 0.7× 78 0.5× 88 0.6× 45 0.4× 23 609
B Francis 493 0.9× 472 1.0× 69 0.5× 195 1.3× 63 0.6× 13 650
Alan Murray 382 0.7× 377 0.8× 90 0.6× 130 0.9× 210 2.0× 20 646
Christine Doig 425 0.8× 427 0.9× 61 0.4× 168 1.1× 92 0.9× 15 640
Karim Chemlal 577 1.1× 315 0.7× 332 2.2× 89 0.6× 93 0.9× 13 684

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

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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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