Samuel Manda

3.4k total citations
126 papers, 2.1k citations indexed

About

Samuel Manda is a scholar working on Infectious Diseases, General Health Professions and Epidemiology. According to data from OpenAlex, Samuel Manda has authored 126 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Infectious Diseases, 31 papers in General Health Professions and 27 papers in Epidemiology. Recurrent topics in Samuel Manda's work include HIV/AIDS Research and Interventions (24 papers), Global Maternal and Child Health (18 papers) and Adolescent Sexual and Reproductive Health (17 papers). Samuel Manda is often cited by papers focused on HIV/AIDS Research and Interventions (24 papers), Global Maternal and Child Health (18 papers) and Adolescent Sexual and Reproductive Health (17 papers). Samuel Manda collaborates with scholars based in South Africa, United Kingdom and United States. Samuel Manda's co-authors include Renate Meyer, Mark S. Gilthorpe, Henry Mwambi, Jonathan Mutau Kamwi, William M. Bolstad, Carl Lombard, Tarylee Reddy, Chris P Gale, Alistair S. Hall and Clive Weston and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and Journal of the American College of Cardiology.

In The Last Decade

Samuel Manda

117 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Samuel Manda South Africa 27 474 471 411 403 258 126 2.1k
Gershim Asiki Kenya 28 479 1.0× 535 1.1× 535 1.3× 342 0.8× 162 0.6× 145 2.3k
Palanivel Chinnakali India 24 533 1.1× 388 0.8× 569 1.4× 350 0.9× 102 0.4× 205 2.2k
Per Kallestrup Denmark 27 182 0.4× 520 1.1× 525 1.3× 394 1.0× 469 1.8× 139 2.8k
Eme Owoaje Nigeria 28 263 0.6× 624 1.3× 347 0.8× 298 0.7× 211 0.8× 121 2.3k
Jamison Dt 21 163 0.3× 349 0.7× 261 0.6× 425 1.1× 160 0.6× 128 1.9k
Eric Tchetgen Tchetgen United States 21 411 0.9× 231 0.5× 473 1.2× 147 0.4× 131 0.5× 69 2.4k
Sam Watson United Kingdom 20 160 0.3× 467 1.0× 238 0.6× 267 0.7× 92 0.4× 89 2.0k
Bethany Hedt‐Gauthier United States 29 541 1.1× 660 1.4× 443 1.1× 967 2.4× 143 0.6× 163 2.7k
Cláudia Medina Coeli Brazil 28 182 0.4× 708 1.5× 394 1.0× 378 0.9× 182 0.7× 154 2.1k
Miguel Ángel Luque-Fernández United Kingdom 26 206 0.4× 258 0.5× 298 0.7× 480 1.2× 114 0.4× 111 2.4k

Countries citing papers authored by Samuel Manda

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Manda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Manda

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Manda. A scholar is included among the top collaborators of Samuel Manda 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 Samuel Manda. Samuel Manda 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.
Doherty, Tanya, Christiane Horwood, Lyn Haskins, et al.. (2024). Case for improving respectful care: results from a cross-sectional survey of person-centred maternity care in rural South Africa. SHILAP Revista de lepidopterología. 2(2). e001086–e001086. 3 indexed citations
3.
Nyasulu, Peter S., et al.. (2023). A PREDICTION RISK SCORE FOR HIV AMONG ADOLESCENT GIRLS AND YOUNG WOMEN IN SOUTH AFRICA: IDENTIFYING THOSE IN NEED OF HIV PRE-EXPOSURE PROPHYLAXIS. International Journal of Infectious Diseases. 130. S153–S153.
5.
Tamuzi, Jacques Lukenze, et al.. (2023). A Scoping Review Evaluating the Current State of Gut Microbiota Research in Africa. Microorganisms. 11(8). 2118–2118. 6 indexed citations
6.
Arashi, ‎M‎ohammad, et al.. (2023). Multicollinearity and Linear Predictor Link Function Problems in Regression Modelling of Longitudinal Data. Mathematics. 11(3). 530–530.
8.
Balakrishna, Yusentha, et al.. (2022). Statistical Methods for the Analysis of Food Composition Databases: A Review. Nutrients. 14(11). 2193–2193. 4 indexed citations
9.
Woldesenbet, Selamawit, Mireille Cheyip, Carl Lombard, et al.. (2022). Progress towards the UNAIDS 95-95-95 targets among pregnant women in South Africa: Results from the 2017 and 2019 national Antenatal HIV Sentinel Surveys. PLoS ONE. 17(7). e0271564–e0271564. 15 indexed citations
10.
Oliphant, Nicholas P, Nicolas Ray, Rocco Panciera, et al.. (2021). Optimising geographical accessibility to primary health care: a geospatial analysis of community health posts and community health workers in Niger. BMJ Global Health. 6(6). e005238–e005238. 19 indexed citations
11.
Woldesenbet, Selamawit, Carl Lombard, Samuel Manda, et al.. (2021). Recent HIV infection among pregnant women in the 2017 antenatal sentinel cross–sectional survey, South Africa: Assay–based incidence measurement. PLoS ONE. 16(4). e0249953–e0249953. 27 indexed citations
12.
Woldesenbet, Selamawit, Tendesayi Kufa, Peter Barron, et al.. (2019). Viral suppression and factors associated with failure to achieve viral suppression among pregnant women in South Africa: a national cross-sectional survey. AIDS. 2019. 2 indexed citations
13.
Bergquist, Robert & Samuel Manda. (2019). The world in your hands: GeoHealth then and now. Geospatial health. 14(1). 8 indexed citations
14.
Kinyoki, Damaris K., Ngianga‐Bakwin Kandala, Samuel Manda, et al.. (2016). Assessing comorbidity and correlates of wasting and stunting among children in Somalia using cross-sectional household surveys: 2007 to 2010. BMJ Open. 6(3). e009854–e009854. 44 indexed citations
15.
Morojele, Neo K., et al.. (2015). Reliability and factor structure of the audit among male and female bar patrons in a rural area of South Africa. 14(1). 23–35. 4 indexed citations
16.
Manda, Samuel. (2013). Risk of Death among HIV Co-Infected Multidrug Resistant Tuberculosis Patients, Compared To Mortality in the General Population of South Africa. Journal of AIDS & Clinical Research. 1(S3). 7–7. 16 indexed citations
17.
Manda, Samuel. (2010). A Nonparametric Frailty Model for Clustered Survival Data. Communication in Statistics- Theory and Methods. 40(5). 863–875. 8 indexed citations
18.
Manda, Samuel & Renate Meyer. (2004). Bayesian inference for recurrent events data using time‐dependent frailty. Statistics in Medicine. 24(8). 1263–1274. 17 indexed citations
19.
Manda, Samuel. (2000). A bayesian analysis of multivariate survival data from multi-stage cluster sampling. Communication in Statistics- Theory and Methods. 29(4). 769–782. 1 indexed citations
20.
French, John K., T.A. Hyde, Jacqueline Andrews, et al.. (2000). Relationship between corrected TIMI frame counts at three weeks and late survival after myocardial infarction. Journal of the American College of Cardiology. 35(6). 1516–1524. 29 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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