Sue Sleiman

442 total citations
8 papers, 300 citations indexed

About

Sue Sleiman is a scholar working on Infectious Diseases, Epidemiology and Cell Biology. According to data from OpenAlex, Sue Sleiman has authored 8 papers receiving a total of 300 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 5 papers in Epidemiology and 2 papers in Cell Biology. Recurrent topics in Sue Sleiman's work include Antifungal resistance and susceptibility (5 papers), Fungal Infections and Studies (4 papers) and Plant Pathogens and Fungal Diseases (2 papers). Sue Sleiman is often cited by papers focused on Antifungal resistance and susceptibility (5 papers), Fungal Infections and Studies (4 papers) and Plant Pathogens and Fungal Diseases (2 papers). Sue Sleiman collaborates with scholars based in Australia and United States. Sue Sleiman's co-authors include Tania C. Sorrell, Wen Chen, Catriona Halliday, Anna F. Lau, Brendan McMullan, Tom Olma, Debbie Marriott, Peter G. Middleton, Wieland Meyer and S.C.A. Chen and has published in prestigious journals such as PLoS ONE, Journal of Clinical Microbiology and Journal of Medical Microbiology.

In The Last Decade

Sue Sleiman

8 papers receiving 291 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sue Sleiman Australia	6	222	187	92	52	45	8	300
E. Lambrecht Germany	8	414 1.9×	377 2.0×	92 1.0×	14 0.3×	96 2.1×	12	482
Ga‐Lai M. Chong Netherlands	8	307 1.4×	281 1.5×	87 0.9×	24 0.5×	52 1.2×	11	346
Mark Wissel United States	4	352 1.6×	292 1.6×	68 0.7×	15 0.3×	38 0.8×	7	400
Raquel Posso United Kingdom	11	322 1.5×	284 1.5×	94 1.0×	24 0.5×	53 1.2×	15	362
P. J. A. Haas Netherlands	5	358 1.6×	261 1.4×	93 1.0×	66 1.3×	70 1.6×	6	394
Giel R. Gaajetaan Netherlands	7	225 1.0×	243 1.3×	86 0.9×	23 0.4×	47 1.0×	11	304
Martina Tošková Czechia	7	315 1.4×	280 1.5×	70 0.8×	16 0.3×	18 0.4×	14	348
Carmen Pazos Spain	4	427 1.9×	386 2.1×	71 0.8×	29 0.6×	36 0.8×	6	455
Radim Dobiáš Czechia	10	104 0.5×	140 0.7×	84 0.9×	32 0.6×	35 0.8×	29	223
Maria Aigner Austria	10	261 1.2×	221 1.2×	46 0.5×	16 0.3×	25 0.6×	14	303

Countries citing papers authored by Sue Sleiman

Since Specialization

Citations

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

Fields of papers citing papers by Sue Sleiman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sue Sleiman

This figure shows the co-authorship network connecting the top 25 collaborators of Sue Sleiman. A scholar is included among the top collaborators of Sue Sleiman 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 Sue Sleiman. Sue Sleiman 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

Handelsman, David J., et al.. (2022). Sexually transmitted doping: The impact of urine contamination of semen. Drug Testing and Analysis. 14(9). 1623–1628. 12 indexed citations

Sleiman, Sue, Catriona Halliday, Belinda Chapman, et al.. (2016). Performance of Matrix-Assisted Laser Desorption Ionization−Time of Flight Mass Spectrometry for Identification of Aspergillus, Scedosporium, and Fusarium spp. in the Australian Clinical Setting. Journal of Clinical Microbiology. 54(8). 2182–2186. 37 indexed citations

Malík, Richard, et al.. (2014). Preliminary Investigations Utilizing a Panfungal PCR to Determine the Identity of Fungal Infections in Cytological Specimens from Animals. Journal of Comparative Pathology. 150(1). 102–102. 1 indexed citations

McMullan, Brendan, Catriona Halliday, Tania C. Sorrell, et al.. (2012). Clinical Utility of the Cryptococcal Antigen Lateral Flow Assay in a Diagnostic Mycology Laboratory. PLoS ONE. 7(11). e49541–e49541. 86 indexed citations

Barrs, Vanessa R., Catriona Halliday, Bethany Wilson, et al.. (2011). Sinonasal and sino-orbital aspergillosis in 23 cats: Aetiology, clinicopathological features and treatment outcomes. The Veterinary Journal. 191(1). 58–64. 52 indexed citations

Kok, Jen, Wen Chen, Lyndal Anderson, et al.. (2010). Protein-losing enteropathy and hypogammaglobulinaemia as first manifestations of disseminated histoplasmosis coincident with Nocardia infection. Journal of Medical Microbiology. 59(5). 610–613. 5 indexed citations

Blyth, Christopher C., Azian Harun, Peter G. Middleton, et al.. (2009). Detection of Occult Scedosporium Species in Respiratory Tract Specimens from Patients with Cystic Fibrosis by Use of Selective Media. Journal of Clinical Microbiology. 48(1). 314–316. 67 indexed citations

Lau, Anna F., Wen Chen, Sue Sleiman, & Tania C. Sorrell. (2009). Current Status and Future Perspectives on Molecular and Serological Methods in Diagnostic Mycology. Future Microbiology. 4(9). 1185–1222. 40 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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