Mary Mayige

4.2k total citations · 1 hit paper
25 papers, 364 citations indexed

About

Mary Mayige is a scholar working on Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Mary Mayige has authored 25 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Public Health, Environmental and Occupational Health, 8 papers in Endocrinology, Diabetes and Metabolism and 6 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Mary Mayige's work include Obesity, Physical Activity, Diet (7 papers), Global Public Health Policies and Epidemiology (6 papers) and Diabetes Management and Education (5 papers). Mary Mayige is often cited by papers focused on Obesity, Physical Activity, Diet (7 papers), Global Public Health Policies and Epidemiology (6 papers) and Diabetes Management and Education (5 papers). Mary Mayige collaborates with scholars based in Tanzania, United Kingdom and United States. Mary Mayige's co-authors include Gibson Kagaruki, Julia Critchley, Nigel Unwin, Paul Bogowicz, Godfather Kimaro, Esther Ngadaya, A.B.M. Swai, Kaushik Ramaiya, Sayoki Mfinanga and Andrew Martin Kilale and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Environmental Research and Public Health.

In The Last Decade

Mary Mayige

22 papers receiving 352 citations

Hit Papers

Modelling the effects of quarantine and protective interv... 2025 2026 2025 4 8 12

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mary Mayige Tanzania 12 135 90 77 70 59 25 364
Sonak D. Pastakia United States 8 193 1.4× 156 1.7× 174 2.3× 42 0.6× 129 2.2× 13 469
James Osei-Yeboah Ghana 13 172 1.3× 66 0.7× 92 1.2× 96 1.4× 163 2.8× 41 501
Gibson Kagaruki Tanzania 9 43 0.3× 91 1.0× 96 1.2× 61 0.9× 37 0.6× 25 302
Fiona Young United Kingdom 4 54 0.4× 55 0.6× 188 2.4× 51 0.7× 128 2.2× 4 420
Simon Manyara United States 9 109 0.8× 18 0.2× 32 0.4× 38 0.5× 83 1.4× 13 322
Yeri Kombe Kenya 11 47 0.3× 41 0.5× 25 0.3× 49 0.7× 59 1.0× 23 390
Esegiel Gaeb Namibia 8 61 0.5× 17 0.2× 76 1.0× 71 1.0× 97 1.6× 10 453
Thomas R. Hird United Kingdom 10 101 0.7× 8 0.1× 150 1.9× 34 0.5× 83 1.4× 18 473
Tint Swe Latt Myanmar 10 131 1.0× 8 0.1× 18 0.2× 86 1.2× 40 0.7× 26 284
Rachel M. Zack United States 12 18 0.1× 38 0.4× 37 0.5× 71 1.0× 33 0.6× 32 324

Countries citing papers authored by Mary Mayige

Since Specialization
Citations

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

Fields of papers citing papers by Mary Mayige

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mary Mayige

This figure shows the co-authorship network connecting the top 25 collaborators of Mary Mayige. A scholar is included among the top collaborators of Mary Mayige 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 Mayige. Mary Mayige 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
4.
Adeagbo, Oluwafemi, Tobias Chirwa, Mary Mayige, et al.. (2023). Measurement of and training for NCD guideline implementation in LMICs: a scoping review protocol. BMJ Open. 13(7). e073550–e073550. 1 indexed citations
5.
Mayige, Mary, et al.. (2023). The Potential Effect of Sugar-Sweetened Beverages Tax on Obesity Prevalence in Tanzania. PubMed. 7(2). 289–301. 1 indexed citations
6.
Cockburn, Neil, David Flood, Jacqueline A. Seiglie, et al.. (2023). Health service readiness to provide care for HIV and cardiovascular disease risk factors in low- and middle-income countries. SHILAP Revista de lepidopterología. 3(9). e0002373–e0002373.
7.
Coates, Matthew M, Celina Trujillo, Wubaye Walelgne Dagnaw, et al.. (2022). Health system capacity to manage diabetic ketoacidosis in nine low-income and lower-middle income countries: a cross-sectional analysis of nationally representative survey data. EClinicalMedicine. 55. 101759–101759. 5 indexed citations
8.
Kagaruki, Gibson, Michael Johnson Mahande, Godfather Kimaro, et al.. (2021). Prevalence and Correlates of Cardio-Metabolic Risk Factors Among Regular Street Food Consumers in Dar es Salaam, Tanzania. Diabetes Metabolic Syndrome and Obesity. Volume 14. 1011–1024. 10 indexed citations
9.
Mbalawata, Isambi Sailon, et al.. (2021). Mathematical modelling of root causes of hyperglycemia and hypoglycemia in a diabetes mellitus patient. Scientific African. 14. e01042–e01042. 2 indexed citations
11.
Hill, Jillian, et al.. (2020). Findings from Community-Based Screenings for Type 2 Diabetes Mellitus in at Risk Communities in Cape Town, South Africa: A Pilot Study. International Journal of Environmental Research and Public Health. 17(8). 2876–2876. 11 indexed citations
12.
Barr, Anna Louise, Elizabeth Young, Kokou Agoudavi, et al.. (2020). Sociodemographic inequities associated with participation in leisure-time physical activity in sub-Saharan Africa: an individual participant data meta-analysis. BMC Public Health. 20(1). 927–927. 18 indexed citations
13.
14.
Ngalesoni, Frida, George Mugambage Ruhago, Mary Mayige, et al.. (2017). Cost-effectiveness analysis of population-based tobacco control strategies in the prevention of cardiovascular diseases in Tanzania. PLoS ONE. 12(8). e0182113–e0182113. 16 indexed citations
15.
Ekoru, Kenneth, Clement Adebamowo, N.M. Baldé, et al.. (2016). H3Africa multi-centre study of the prevalence and environmental and genetic determinants of type 2 diabetes in sub-Saharan Africa: study protocol. PubMed. 1. e5–e5. 12 indexed citations
16.
Kagaruki, Gibson, Mary Mayige, Esther Ngadaya, et al.. (2014). Magnitude and risk factors of non-communicable diseases among people living with HIV in Tanzania: a cross sectional study from Mbeya and Dar es Salaam regions. BMC Public Health. 14(1). 904–904. 72 indexed citations
17.
Mayige, Mary, et al.. (2012). Clinical manifestations and outcomes of severe malaria among children admitted to Rungwe and Kyela district hospitals in south-western Tanzania. Tanzania Journal of Health Research. 14(1). 3–8. 8 indexed citations
18.
Mayige, Mary, Gibson Kagaruki, Kaushik Ramaiya, & A.B.M. Swai. (2012). Non communicable diseases in Tanzania: a call for urgent action. Tanzania Journal of Health Research. 13(5). 378–86. 42 indexed citations
19.
Echouffo‐Tcheugui, Justin B., Mary Mayige, Anthonia Ogbera, Eugène Sobngwi, & André Pascal Kengne. (2012). Screening for hyperglycemia in the developing world: Rationale, challenges and opportunities. Diabetes Research and Clinical Practice. 98(2). 199–208. 23 indexed citations
20.
Critchley, Julia, et al.. (2012). Risk scores based on self-reported or available clinical data to detect undiagnosed Type 2 Diabetes: A systematic review. Diabetes Research and Clinical Practice. 98(3). 369–385. 63 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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