Fortune Ncube

1.7k total citations
54 papers, 1.3k citations indexed

About

Fortune Ncube is a scholar working on Epidemiology, Hepatology and Infectious Diseases. According to data from OpenAlex, Fortune Ncube has authored 54 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Epidemiology, 23 papers in Hepatology and 20 papers in Infectious Diseases. Recurrent topics in Fortune Ncube's work include HIV, Drug Use, Sexual Risk (32 papers), Hepatitis C virus research (22 papers) and HIV/AIDS Research and Interventions (12 papers). Fortune Ncube is often cited by papers focused on HIV, Drug Use, Sexual Risk (32 papers), Hepatitis C virus research (22 papers) and HIV/AIDS Research and Interventions (12 papers). Fortune Ncube collaborates with scholars based in United Kingdom, Maldives and Portugal. Fortune Ncube's co-authors include Vivian Hope, Matthew Hickman, John Parry, Jane Parry, Andrea Marongiu, Josie Smith, Angie Bone, Jim McVeigh, Norman Noah and Tom Nichols and has published in prestigious journals such as American Journal of Epidemiology, American Journal of Public Health and BMJ.

In The Last Decade

Fortune Ncube

51 papers receiving 1.3k citations

Peers

Fortune Ncube
Grace Macalino United States
Alice Asher United States
Monica Desai United Kingdom
Sara Croxford United Kingdom
Stanley R. Yancovitz United States
David Asboe United Kingdom
Norah Palmateer United Kingdom
Don Des Jarlais United States
Fortune Ncube
Citations per year, relative to Fortune Ncube Fortune Ncube (= 1×) peers Pascale Leclerc

Countries citing papers authored by Fortune Ncube

Since Specialization
Citations

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

Fields of papers citing papers by Fortune Ncube

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fortune Ncube

This figure shows the co-authorship network connecting the top 25 collaborators of Fortune Ncube. A scholar is included among the top collaborators of Fortune Ncube 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 Fortune Ncube. Fortune Ncube 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.
Connor, N., et al.. (2017). O21 HIV testing in abortion services: missed opportunities for earlier diagnosis. Sexually Transmitted Infections. 93(Suppl 1). A8.1–A8. 1 indexed citations
3.
Hope, Vivian, Jim McVeigh, Josie Smith, et al.. (2017). Low levels of hepatitis C diagnosis and testing uptake among people who inject image and performance enhancing drugs in England and Wales, 2012-15. Drug and Alcohol Dependence. 179. 83–86. 16 indexed citations
5.
Hope, Vivian, Jenny Scott, Katelyn J Cullen, et al.. (2015). Going into the groin: Injection into the femoral vein among people who inject drugs in three urban areas of England. Drug and Alcohol Dependence. 152. 239–245. 20 indexed citations
6.
Hope, Vivian, Katelyn J Cullen, Sara Croxford, John V. Parry, & Fortune Ncube. (2014). Factors associated with the use of cleaned needles and syringes among people who inject drugs in the UK: Who should we target to minimise the risks?. International Journal of Drug Policy. 25(5). 924–927. 5 indexed citations
7.
Hope, Vivian, Fortune Ncube, Jane Parry, & Matthew Hickman. (2014). Healthcare seeking and hospital admissions by people who inject drugs in response to symptoms of injection site infections or injuries in three urban areas of England. Epidemiology and Infection. 143(1). 120–131. 43 indexed citations
8.
Hope, Vivian, Jim McVeigh, Andrea Marongiu, et al.. (2013). Prevalence of, and risk factors for, HIV, hepatitis B and C infections among men who inject image and performance enhancing drugs: a cross-sectional study. BMJ Open. 3(9). e003207–e003207. 90 indexed citations
9.
Hope, Vivian, Matthew Hickman, Jane Parry, & Fortune Ncube. (2013). Factors associated with recent symptoms of an injection site infection or injury among people who inject drugs in three English cities. International Journal of Drug Policy. 25(2). 303–307. 26 indexed citations
10.
Cliffe, Susan, et al.. (2012). Healthcare workers' perceptions of occupational exposure to blood-borne viruses and reporting barriers: a questionnaire-based study. Journal of Hospital Infection. 82(1). 36–39. 27 indexed citations
11.
Sutton, Andrew, Thomas House, Vivian Hope, et al.. (2012). Modelling HIV in the injecting drug user population and the male homosexual population in a developed country context. Epidemics. 4(1). 48–56. 12 indexed citations
12.
Harris, Ross, et al.. (2011). Spatial mapping of hepatitis C prevalence in recent injecting drug users in contact with services. Epidemiology and Infection. 140(6). 1054–1063. 6 indexed citations
13.
Crofts, Jonathan, Michelle E. Kruijshaar, Valérie Delpech, Fortune Ncube, & Ibrahim Abubakar. (2011). Tuberculosis and HIV co-infection in healthcare workers in England and Wales, 1999–2005. Epidemiology and Infection. 140(10). 1873–1879. 1 indexed citations
14.
Hope, Vivian, Matthew Hickman, Steve Jones, et al.. (2010). Measuring the incidence, prevalence and genetic relatedness of hepatitis C infections among a community recruited sample of injecting drug users, using dried blood spots. Journal of Viral Hepatitis. 18(4). 262–270. 82 indexed citations
15.
Hope, Vivian, Andrea Marongiu, Jane Parry, & Fortune Ncube. (2010). The extent of injection site infection in injecting drug users: findings from a national surveillance study. Epidemiology and Infection. 138(10). 1510–1518. 33 indexed citations
16.
Sweeting, Michael, Vivian Hope, Matthew Hickman, et al.. (2009). Hepatitis C Infection Among Injecting Drug Users in England and Wales (1992-2006): There and Back Again?. American Journal of Epidemiology. 170(3). 352–360. 46 indexed citations
17.
Sutton, Alex J., Vivian Hope, Catharina Matheï, et al.. (2008). A comparison between the force of infection estimates for blood‐borne viruses in injecting drug user populations across the European Union: a modelling study. Journal of Viral Hepatitis. 15(11). 809–816. 27 indexed citations
18.
Hope, Vivian, Fortune Ncube, Matthew Hickman, Ali Judd, & John Parry. (2007). Hepatitis B vaccine uptake among injecting drug users in England 1998 to 2004: is the prison vaccination programme driving recent improvements?. Journal of Viral Hepatitis. 14(9). 653–660. 22 indexed citations
19.
Hickman, Matthew, Vivian Hope, Tony Brady, et al.. (2007). Hepatitis C virus (HCV) prevalence, and injecting risk behaviour in multiple sites in England in 2004. Journal of Viral Hepatitis. 14(9). 645–652. 83 indexed citations
20.
Wiessing, Lucas, Fortune Ncube, Dagmar Hedrich, et al.. (2004). Surveillance of infectious diseases in IDUs across the EU: information from the EU expert network. Weekly releases (1997–2007). 8(4). 2 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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