Steven G. Badman

1.3k total citations
51 papers, 688 citations indexed

About

Steven G. Badman is a scholar working on Epidemiology, Infectious Diseases and Microbiology. According to data from OpenAlex, Steven G. Badman has authored 51 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Epidemiology, 23 papers in Infectious Diseases and 20 papers in Microbiology. Recurrent topics in Steven G. Badman's work include Reproductive tract infections research (20 papers), HIV, Drug Use, Sexual Risk (20 papers) and HIV/AIDS Research and Interventions (18 papers). Steven G. Badman is often cited by papers focused on Reproductive tract infections research (20 papers), HIV, Drug Use, Sexual Risk (20 papers) and HIV/AIDS Research and Interventions (18 papers). Steven G. Badman collaborates with scholars based in Australia, Papua New Guinea and United States. Steven G. Badman's co-authors include Rebecca Guy, John Kaldor, David M. Whiley, Andrew Vallely, Sepehr N. Tabrizi, Louise Causer, James Ward, Belinda Hengel, Annie Tangey and Mark Shephard and has published in prestigious journals such as PLoS ONE, Journal of Clinical Microbiology and The Lancet Infectious Diseases.

In The Last Decade

Steven G. Badman

45 papers receiving 679 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Steven G. Badman Australia 17 307 254 250 176 154 51 688
Noah Kojima United States 14 293 1.0× 240 0.9× 421 1.7× 351 2.0× 105 0.7× 40 881
Claire Ryan Australia 15 261 0.9× 176 0.7× 261 1.0× 129 0.7× 105 0.7× 31 537
Jannie J. van der Helm Netherlands 18 664 2.2× 493 1.9× 334 1.3× 272 1.5× 124 0.8× 43 1.1k
Sushmita Shivkumar Canada 10 608 2.0× 74 0.3× 564 2.3× 122 0.7× 97 0.6× 12 934
Aura Andreasen United Kingdom 14 255 0.8× 194 0.8× 155 0.6× 90 0.5× 171 1.1× 22 555
Belinda Hengel Australia 12 154 0.5× 232 0.9× 109 0.4× 136 0.8× 183 1.2× 33 442
Chris Kenyon Belgium 15 191 0.6× 190 0.7× 113 0.5× 172 1.0× 70 0.5× 43 493
Francois van Loggerenberg United Kingdom 16 293 1.0× 183 0.7× 486 1.9× 67 0.4× 256 1.7× 36 981
Klaus Jansen Germany 15 396 1.3× 228 0.9× 332 1.3× 190 1.1× 61 0.4× 57 754
Gift Kamanga United States 14 471 1.5× 115 0.5× 716 2.9× 97 0.6× 328 2.1× 35 942

Countries citing papers authored by Steven G. Badman

Since Specialization
Citations

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

Fields of papers citing papers by Steven G. Badman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven G. Badman

This figure shows the co-authorship network connecting the top 25 collaborators of Steven G. Badman. A scholar is included among the top collaborators of Steven G. Badman 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 Steven G. Badman. Steven G. Badman 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
2.
Lowry, Kym, Claire Wang, Cameron Buckley, et al.. (2022). SARS-CoV-2 RT-PCR to Screen for B.1.617.2 (Delta) Variant of Concern. Diagnostics. 12(9). 2056–2056. 2 indexed citations
3.
Kelly‐Hanku, Angela, Steven G. Badman, Lisa M. Vallely, et al.. (2022). Sexual and reproductive health needs and practices of female sex workers in Papua New Guinea: findings from a biobehavioral survey Kauntim mi tu (‘Count me too’). Archives of Public Health. 80(1). 202–202. 1 indexed citations
4.
6.
Bockel, David van, C. Mee Ling Munier, Stuart Turville, et al.. (2020). Evaluation of Commercially Available Viral Transport Medium (VTM) for SARS-CoV-2 Inactivation and Use in Point-of-Care (POC) Testing. Viruses. 12(11). 1208–1208. 29 indexed citations
9.
Hakim, Avi J., Kelsey C. Coy, Angelyne Amos, et al.. (2020). Gaps in HIV Testing and Treatment Among Female Sex Workers in Lae and Mt. Hagen, Papua New Guinea. AIDS and Behavior. 25(5). 1573–1582. 2 indexed citations
10.
Dean, Judith A., Joseph Debattista, Steven G. Badman, et al.. (2020). Improved sensitivity from pooled urine, pharyngeal and rectal specimens when using a molecular assay for the detection of chlamydia and gonorrhoea near point of care. Sexually Transmitted Infections. 97(6). 471–472. 6 indexed citations
12.
Kelly‐Hanku, Angela, Martha Kupul, Steven G. Badman, et al.. (2018). Kuantim mi tu (“Count me too”): Using Multiple Methods to Estimate the Number of Female Sex Workers, Men Who Have Sex With Men, and Transgender Women in Papua New Guinea in 2016 and 2017. JMIR Public Health and Surveillance. 5(1). e11285–e11285. 10 indexed citations
13.
Badman, Steven G., Avi J. Hakim, Rebecca Guy, et al.. (2018). A diagnostic evaluation of a molecular assay used for testing and treating anorectal chlamydia and gonorrhoea infections at the point-of-care in Papua New Guinea. Clinical Microbiology and Infection. 25(5). 623–627. 15 indexed citations
14.
Toliman, Pamela J, John Kaldor, Steven G. Badman, et al.. (2018). Evaluation of self-collected vaginal specimens for the detection of high-risk human papillomavirus infection and the prediction of high-grade cervical intraepithelial lesions in a high-burden, low-resource setting. Clinical Microbiology and Infection. 25(4). 496–503. 23 indexed citations
15.
Toliman, Pamela J, Steven G. Badman, James R. Allan, et al.. (2016). Field Evaluation of Xpert HPV Point-of-Care Test for Detection of Human Papillomavirus Infection by Use of Self-Collected Vaginal and Clinician-Collected Cervical Specimens. Journal of Clinical Microbiology. 54(7). 1734–1737. 56 indexed citations
16.
Veronese, Vanessa, Caroline van Gemert, Isabel Bergeri, et al.. (2016). Sexually transmitted infections among transgender people and men who have sex with men in Port Vila, Vanuatu.. PubMed. 6(1). 55–9. 5 indexed citations
17.
Natoli, Lisa, Rebecca Guy, Mark Shephard, et al.. (2015). Public health implications of molecular point-of-care testing for chlamydia and gonorrhoea in remote primary care services in Australia: a qualitative study. BMJ Open. 5(4). e006922–e006922. 19 indexed citations
18.
Badman, Steven G., Louise Causer, Rebecca Guy, et al.. (2015). A preliminary evaluation of a new GeneXpert (Gx) molecular point-of-care test for the detection ofTrichomonas vaginalis: Table 1. Sexually Transmitted Infections. 92(5). 350–352. 8 indexed citations
19.
Natoli, Lisa, Lisa Maher, Mark Shephard, et al.. (2014). Point-of-Care Testing for Chlamydia and Gonorrhoea: Implications for Clinical Practice. PLoS ONE. 9(6). e100518–e100518. 26 indexed citations
20.
Causer, Louise, Belinda Hengel, Lisa Natoli, et al.. (2013). O22.6 Field Evaluation of Three Point-Of-Care Tests For Chlamydia and Gonorrhoea in Remote Health Services in Australia. Sexually Transmitted Infections. 89(Suppl 1). A70.2–A70. 3 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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