Mary Rahman

578 total citations
11 papers, 448 citations indexed

About

Mary Rahman is a scholar working on Infectious Diseases, Molecular Biology and Clinical Biochemistry. According to data from OpenAlex, Mary Rahman has authored 11 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Infectious Diseases, 5 papers in Molecular Biology and 3 papers in Clinical Biochemistry. Recurrent topics in Mary Rahman's work include Antimicrobial Resistance in Staphylococcus (10 papers), Bacterial Identification and Susceptibility Testing (3 papers) and Bacterial biofilms and quorum sensing (3 papers). Mary Rahman is often cited by papers focused on Antimicrobial Resistance in Staphylococcus (10 papers), Bacterial Identification and Susceptibility Testing (3 papers) and Bacterial biofilms and quorum sensing (3 papers). Mary Rahman collaborates with scholars based in United Kingdom, Thailand and Germany. Mary Rahman's co-authors include W. C. Noble, B. Cookson, Ian Phillips, B Peters, Margaret Webster, John Coia, Dugald Baird, D. H. Lloyd, Štefan Schwarz and K. G. H. Dyke and has published in prestigious journals such as The Lancet, Journal of Clinical Microbiology and Journal of Applied Microbiology.

In The Last Decade

Mary Rahman

11 papers receiving 411 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mary Rahman United Kingdom	8	377	185	153	82	35	11	448
H Ezzedine Belgium	4	218 0.6×	141 0.8×	153 1.0×	60 0.7×	54 1.5×	6	359
Marguerite Fines France	5	286 0.8×	115 0.6×	106 0.7×	60 0.7×	58 1.7×	6	348
Ryan McDonald Canada	13	321 0.9×	170 0.9×	177 1.2×	115 1.4×	76 2.2×	22	503
M S Barrett United States	11	238 0.6×	125 0.7×	100 0.7×	121 1.5×	50 1.4×	18	416
Silvia C. Predari Argentina	11	289 0.8×	216 1.2×	147 1.0×	92 1.1×	77 2.2×	31	431
Yu-Yu Chuang Taiwan	4	329 0.9×	139 0.8×	204 1.3×	68 0.8×	60 1.7×	5	403
Jacques‐Olivier Galdbart France	9	273 0.7×	83 0.4×	194 1.3×	98 1.2×	30 0.9×	9	440
Sharon L. Hansen United States	12	255 0.7×	247 1.3×	76 0.5×	120 1.5×	59 1.7×	22	465
Ελεάννα Δρούγκα Greece	10	280 0.7×	129 0.7×	183 1.2×	69 0.8×	50 1.4×	17	379
Cory Hafer United States	10	509 1.4×	245 1.3×	312 2.0×	73 0.9×	83 2.4×	10	570

Countries citing papers authored by Mary Rahman

Since Specialization

Citations

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

Fields of papers citing papers by Mary Rahman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary Rahman

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

All Works

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11 of 11 papers shown

Hossan, Tareq, et al.. (2013). The Central Cattle Breeding and Dairy Farm, Bangladesh waste contributes in emergence and spread of aminoglycoside-resistant bacteria. Advances in Bioscience and Biotechnology. 4(2). 278–282. 2 indexed citations

Noble, W. C., et al.. (1996). Gentamicin resistance gene transfer from Enterococcus faecalis and E. faecium to Staphylococcus aureus, S. intermedius and S. hyicus. Veterinary Microbiology. 52(1-2). 143–152. 21 indexed citations

Cooke, R.P.D., et al.. (1994). Mupirocin-resistant Staphylococcus aureus in a specialist school population. Journal of Hospital Infection. 26(4). 273–278. 12 indexed citations

Rahman, Mary, W. C. Noble, & K. G. H. Dyke. (1993). Probes for the study of mupirocin resistance in staphylococci. Journal of Medical Microbiology. 39(6). 446–449. 15 indexed citations

Rahman, Mary, et al.. (1991). Streptomycin and tetracycline resistance plasmids in Staphylococcus hyicus and other staphylococci. Journal of Applied Bacteriology. 70(3). 211–215. 9 indexed citations

Rahman, Mary, W. C. Noble, & B. Cookson. (1989). Transmissible mupirocin resistance inStaphylococcus aureus. Epidemiology and Infection. 102(2). 261–270. 51 indexed citations

Cookson, B., B Peters, Margaret Webster, et al.. (1989). Staff carriage of epidemic methicillin-resistant Staphylococcus aureus. Journal of Clinical Microbiology. 27(7). 1471–1476. 183 indexed citations

Noble, W. C., Mary Rahman, & D. H. Lloyd. (1988). Plasmids in Staphylococcus hyicus. Journal of Applied Bacteriology. 64(2). 145–149. 13 indexed citations

Noble, W. C., Mary Rahman, & D. H. Lloyd. (1988). Plasmids in Staphylococcus hyicus. Journal of Applied Microbiology. 64(2). 145–149. 5 indexed citations

10.

Rahman, Mary, W. C. Noble, B. Cookson, Dugald Baird, & John Coia. (1987). MUPIROCIN-RESISTANT STAPHYLOCOCCUS AUREUS. The Lancet. 330(8555). 387–388. 131 indexed citations

11.

Noble, W. C. & Mary Rahman. (1986). Plasmid profiling of epidemic staphylococci from around 1960: a comparison of epidemiological techniques. Journal of Hygiene. 97(2). 211–218. 6 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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