Enos Masini

1.5k total citations
31 papers, 488 citations indexed

About

Enos Masini is a scholar working on Infectious Diseases, Epidemiology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Enos Masini has authored 31 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Infectious Diseases, 19 papers in Epidemiology and 5 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Enos Masini's work include Tuberculosis Research and Epidemiology (26 papers), Pneumonia and Respiratory Infections (8 papers) and Pneumocystis jirovecii pneumonia detection and treatment (8 papers). Enos Masini is often cited by papers focused on Tuberculosis Research and Epidemiology (26 papers), Pneumonia and Respiratory Infections (8 papers) and Pneumocystis jirovecii pneumonia detection and treatment (8 papers). Enos Masini collaborates with scholars based in Kenya, United States and Switzerland. Enos Masini's co-authors include Nimalan Arinaminpathy, Andrei Mosneaga, Juan F Vesga, Han Fu, Sreenivas Achuthan Nair, David W. Dowdy, Sevim Ahmedov, Suvanand Sahu, Carel Pretorius and Lucia Cilloni and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Infectious Diseases.

In The Last Decade

Enos Masini

31 papers receiving 472 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Enos Masini Kenya 13 387 208 74 53 48 31 488
Sevim Ahmedov United States 9 366 0.9× 207 1.0× 74 1.0× 42 0.8× 51 1.1× 30 452
Marriott Nliwasa Malawi 12 403 1.0× 290 1.4× 94 1.3× 58 1.1× 23 0.5× 51 521
Rachael M. Burke United Kingdom 13 375 1.0× 300 1.4× 117 1.6× 49 0.9× 26 0.5× 39 552
Martin van den Boom Italy 12 568 1.5× 279 1.3× 182 2.5× 36 0.7× 32 0.7× 27 709
Kiran Rade India 14 467 1.2× 288 1.4× 77 1.0× 20 0.4× 37 0.8× 41 596
Patrick Lungu Zambia 9 279 0.7× 165 0.8× 73 1.0× 26 0.5× 22 0.5× 26 419
Borisov Se Russia 16 545 1.4× 362 1.7× 175 2.4× 27 0.5× 33 0.7× 73 777
Nimalan Arinaminpathy United Kingdom 10 277 0.7× 171 0.8× 45 0.6× 17 0.3× 20 0.4× 23 376
Joseph Sitienei Kenya 14 331 0.9× 240 1.2× 78 1.1× 17 0.3× 16 0.3× 25 413

Countries citing papers authored by Enos Masini

Since Specialization
Citations

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

Fields of papers citing papers by Enos Masini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Enos Masini

This figure shows the co-authorship network connecting the top 25 collaborators of Enos Masini. A scholar is included among the top collaborators of Enos Masini 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 Enos Masini. Enos Masini 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.
Mungai, Brenda, Marc Henrion, Ben Morton, et al.. (2022). Accuracy of computer-aided chest X-ray in community-based tuberculosis screening: Lessons from the 2016 Kenya National Tuberculosis Prevalence Survey. SHILAP Revista de lepidopterología. 2(11). e0001272–e0001272. 14 indexed citations
3.
Aniwada, Elias, et al.. (2022). Improving TB case notification and treatment coverage through data use. Public Health Action. 12(3). 128–132. 2 indexed citations
4.
Dlodlo, R. A., et al.. (2022). TB training in Kenya: building capacity for care and prevention. Public Health Action. 12(1). 40–47. 2 indexed citations
5.
Mungai, Brenda, Elizabeth Joekes, Enos Masini, et al.. (2021). ‘If not TB, what could it be?’ Chest X-ray findings from the 2016 Kenya Tuberculosis Prevalence Survey. Thorax. 76(6). 607–614. 22 indexed citations
6.
Carter, E Jane, et al.. (2021). Closing the loop in child TB contact management: completion of TB preventive therapy outcomes in western Kenya. BMJ Open. 11(2). e040993–e040993. 3 indexed citations
7.
Owiti, Philip, et al.. (2020). Outcomes of isoniazid preventive therapy among people living with HIV in Kenya: A retrospective study of routine health care data. PLoS ONE. 15(12). e0234588–e0234588. 9 indexed citations
8.
Oliwa, Jacquie, Jacinta Nzinga, Enos Masini, et al.. (2020). Improving case detection of tuberculosis in hospitalised Kenyan children—employing the behaviour change wheel to aid intervention design and implementation. Implementation Science. 15(1). 102–102. 13 indexed citations
9.
Kosgei, Rose J., Steven Callens, Peter Gichangi, et al.. (2020). Gender difference in mortality among pulmonary tuberculosis HIV co-infected adults aged 15-49 years in Kenya. PLoS ONE. 15(12). e0243977–e0243977. 6 indexed citations
10.
Cilloni, Lucia, Han Fu, Juan F Vesga, et al.. (2020). The Potential Impact of the COVID-19 Pandemic on the Tuberculosis Epidemic: A Modelling Analysis. SSRN Electronic Journal. 15 indexed citations
11.
Kipruto, Hillary, et al.. (2019). The spatial epidemiology of leprosy in Kenya: A retrospective study. PLoS neglected tropical diseases. 13(4). e0007329–e0007329. 13 indexed citations
12.
Oliwa, Jacquie, Joseph Maina, Philip Ayieko, et al.. (2018). Variability in distribution and use of tuberculosis diagnostic tests in Kenya: a cross-sectional survey. BMC Infectious Diseases. 18(1). 328–328. 12 indexed citations
13.
Onyango, Dickens, Courtney M. Yuen, Enos Masini, & Martien W. Borgdorff. (2018). Epidemiology of Pediatric Tuberculosis in Kenya and Risk Factors for Mortality during Treatment: A National Retrospective Cohort Study. The Journal of Pediatrics. 201. 115–121. 24 indexed citations
14.
Ogutu, Omondi, et al.. (2017). Spatial and temporal distribution of notified tuberculosis cases in Nairobi County, Kenya, between 2012 and 2016. East African Medical Journal. 94(10). 1 indexed citations
15.
Masini, Enos, Jane Mwangi, Lucy Nganga, et al.. (2017). 4th National Anti-tuberculosis Drug Resistance Survey in Kenya. 5(6). 3 indexed citations
16.
Kosgei, Rose J., et al.. (2017). Evaluation of treatment outcomes and associated factors among patients managed for tuberculosis in Vihiga County, 2012‐ 2015. East African Medical Journal. 94(10). 1 indexed citations
17.
Owiti, Philip, Alfred Keter, Anthony Harries, et al.. (2017). Diabetes and pre-diabetes in tuberculosis patients in western Kenya using point-of-care glycated haemoglobin. Public Health Action. 7(2). 147–154. 28 indexed citations
18.
Onyango, Dickens, et al.. (2017). Reduction of HIV-associated excess mortality by antiretroviral treatment among tuberculosis patients in Kenya. PLoS ONE. 12(11). e0188235–e0188235. 17 indexed citations
19.
Masini, Enos, et al.. (2016). Uptake of isoniazid preventive therapy and its associated factors among HIV positive patients in an urban health centre, Kenya. East African Medical Journal. 93(10). 47–54. 3 indexed citations
20.
Masini, Enos, et al.. (2013). Outcomes of isoniazid prophylaxis among HIV-infected children attending routine HIV care in Kenya. Public Health Action. 3(3). 204–208. 16 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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