Samba O. Sow
About
Samba O. Sow is a scholar working on Epidemiology, Infectious Diseases and Microbiology.
According to data from OpenAlex, Samba O. Sow has authored 151 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Epidemiology, 74 papers in Infectious Diseases and 37 papers in Microbiology. Recurrent topics in Samba O. Sow's work include Bacterial Infections and Vaccines (37 papers), Pneumonia and Respiratory Infections (37 papers) and Viral gastroenteritis research and epidemiology (31 papers). Samba O. Sow is often cited by papers focused on Bacterial Infections and Vaccines (37 papers), Pneumonia and Respiratory Infections (37 papers) and Viral gastroenteritis research and epidemiology (31 papers). Samba O. Sow collaborates with scholars based in Mali, United States and United Kingdom. Samba O. Sow's co-authors include Milagritos D. Tapia, Karen L. Kotloff, Myron M. Levine, Boubou Tamboura, Zulfiqar A Bhutta, James P. Nataro, Keith P. Klugman, Carol Tévi‐Bénissan, Rabab Jafri and Florence Fermon and has published in prestigious journals such as Nature, New England Journal of Medicine and The Lancet.
In The Last Decade
Samba O. Sow
145 papers receiving 3.2k citations
Hit Papers
Peers
Samba O. Sow
Đặng Đức Anh Vietnam
Shelley M. Zansky United States
J. Anthony G. Scott United Kingdom
Paul E. Kilgore United States
Stephen L. Cochi United States
Klara M. Posfay‐Barbe Switzerland
Daniel M. Weinberger United States
Galia Rahav Israel
Yaw Adu‐Sarkodie Ghana
Jennifer R. Verani United States
Citations per year, relative to Samba O. Sow Samba O. Sow (= 1×)
peers
Đặng Đức Anh
Countries citing papers authored by Samba O. Sow
Since
Specialization
Citations
This map shows the geographic impact of Samba O. Sow'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 Samba O. Sow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samba O. Sow more than expected).
Fields of papers citing papers by Samba O. Sow
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Samba O. Sow. 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 Samba O. Sow. The network helps show where Samba O. Sow may publish in the future.
Co-authorship network of co-authors of Samba O. Sow
This figure shows the co-authorship network connecting the top 25 collaborators of Samba O. Sow. A scholar is included among the top collaborators of Samba O. Sow 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 Samba O. Sow. Samba O. Sow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Kim, Sara, Patricia B. Pavlinac, Karim Manji, et al.. (2025). Personalized azithromycin treatment rules for children with watery diarrhea using machine learning. Nature Communications. 16(1). 5968–5968.
2.
Kaminski, Robert W., Patricia B. Pavlinac, Elizabeth T. Rogawski McQuade, et al.. (2025). WHO Workshop Report: Regulatory Science to Inform Clinical Pathways for Shigella Vaccines Intended for Use in Children in Low- and Middle-Income Countries. Vaccines. 13(5). 439–439.
3.
Diallo, Fatoumata, Fadima Cheick Haidara, Milagritos D. Tapia, et al.. (2025). Safety and immunogenicity of a pentavalent meningococcal conjugate vaccine targeting serogroups A, C, W, Y, and X when co-administered with routine childhood vaccines at ages 9 months and 15 months in Mali: a single-centre, double-blind, randomised, controlled, phase 3, non-inferiority trial. The Lancet. 405(10484). 1069–1080.
4.
Lewis, Roger, Kert Viele, Margareth Ndomondo-Sigonda, et al.. (2025). Ethical clinical trial design and differences in treatment effects. Bulletin of the World Health Organization. 103(10). 619–625.
5.
Fox, Monica, Adama Mamby Keita, Kristen M. Hurley, et al.. (2024). Qualitative evaluation of a package of implementation strategies codesigned to support the introduction of multiple micronutrient supplementation (MMS) for pregnant women in Bamako, Mali. Maternal and Child Nutrition. 21(1). e13712–e13712.
6.
Ndembi, Nicaise, Morẹ́nikẹ́ Oluwátóyìn Foláyan, Nebiyu Dereje, et al.. (2024). Strengthening and expanding capacities in clinical trials: advancing pandemic prevention, preparedness and response in Africa. Nature Communications. 15(1). 8662–8662.
7.
Haidara, Fadima Cheick, Milagritos D. Tapia, Fatoumata Diallo, et al.. (2024). Safety and immunogenicity of a single dose of Tdap compared to Td in pregnant women in Mali and 3 its effect on infant immune responses: a single-centre, randomised, double-blind, active-controlled phase 2 study. EClinicalMedicine. 71. 102556–102556.
8.
Yadav, Prashant, Carolina Batista, Ravi Anupindi, et al.. (2023). Vaccine supply chains: priority areas of action emerging from the COVID-19 pandemic. 2(2). 59–66.
9.
Ortiz, Justin R., Steven M. Brunwasser, Flanon Coulibaly, et al.. (2023). Model-estimated impacts of pediatric respiratory syncytial virus prevention programs in Mali on asthma prevalence. SHILAP Revista de lepidopterología. 2(2). 100092–100092.
10.
Driscoll, Amanda J., Fadima Cheick Haidara, Milagritos D. Tapia, et al.. (2023). Antenatal, intrapartum and infant azithromycin to prevent stillbirths and infant deaths: study protocol for SANTE, a 2×2 factorial randomised controlled trial in Mali. BMJ Open. 13(8). e067581–e067581.
11.
Baral, Ranju, Andrea G. Buchwald, James D. Campbell, et al.. (2023). Optimizing next-generation RSV prevention in Mali: A cost-effectiveness analysis of pediatric vaccination, maternal vaccination, and extended half-life monoclonal antibody immunoprophylaxis. SHILAP Revista de lepidopterología. 3(5). e0001432–e0001432.
12.
Shoham, Shmuel, Carolina Batista, Yanis Ben Amor, et al.. (2023). Vaccines and therapeutics for immunocompromised patients with COVID-19. EClinicalMedicine. 59. 101965–101965.
13.
Alber, Dagmar, Fadima Cheick Haidara, Per Ashorn, et al.. (2022). SARS-CoV-2 infection and antibody seroprevalence in routine surveillance patients, healthcare workers and general population in Kita region, Mali: an observational study 2020–2021. BMJ Open. 12(6). e060367–e060367.
14.
Batista, Carolina, Shmuel Shoham, Önder Ergönül, et al.. (2021). Urgent needs to accelerate the race for COVID-19 therapeutics. EClinicalMedicine. 36. 100911–100911.
15.
Idoko, Olubukola T., Cristina Domingo, Milagritos D. Tapia, et al.. (2020). Serological Protection 5–6 Years Post Vaccination Against Yellow Fever in African Infants Vaccinated in Routine Programmes. Frontiers in Immunology. 11. 577751–577751.
16.
Harrison, Odile B., Jay Lucidarme, Kadidja Gamougam, et al.. (2018). Development of a PCR algorithm to detect and characterize Neisseria meningitidis carriage isolates in the African meningitis belt. PLoS ONE. 13(12). e0206453–e0206453.
17.
Engel, Mark E., Andrew Whitelaw, Alemseged Abdissa, et al.. (2016). Rationale and design of the African group A streptococcal infection registry: the AFRO Strep study. BMJ Open. 6(2). e010248–e010248.
18.
Jafri, Rabab, Asad Ali, Nancy E. Messonnier, et al.. (2013). Global epidemiology of invasive meningococcal disease. Population Health Metrics. 11(1). 17–17.
19.
Orenstein, Lauren A.V., Evan Orenstein, Ibrahima Téguété, et al.. (2012). Background Rates of Adverse Pregnancy Outcomes for Assessing the Safety of Maternal Vaccine Trials in Sub-Saharan Africa. PLoS ONE. 7(10). e46638–e46638.
20.
Basta, Nicole E., Samba O. Sow, Boubou Tamboura, et al.. (2012). Age-specific prevalence estimates and risk factors for asymptomatic Neisseria meningitidis carriage in Bamako, Mali. International Journal of Infectious Diseases. 16. e211–e211.
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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