Thomas Samba

490 citations
15 papers · 265 · h-index 9

Impact in

Papers in

Thomas Samba

15 papers receiving 260 citations

Peers

Thomas Samba
Comparison fields: 5 of 46
  • Modeling and Simulation 55
  • Health 50
  • Infectious Diseases 100
  • Emergency Medical Services 24
  • Pediatrics, Perinatology and Child Health 27
Replace Aminata Binetou-Wahebine Seydi with:
Aminata Binetou-Wahebine Seydi Republic of the Congo
Jérôme Pfaffmann Zambruni United States
Oghenebrume Wariri Gambia
Oscar Kallay Belgium
Osaretin Christabel Okonji South Africa
Abdulhakeem Abayomi Olorukooba Nigeria
Bhavesh Modi India
Owens Wiwa United States
Olubunmi Ojo Nigeria
Daniel J. Erchick United States
Thomas Samba relative to Aminata Binetou-Wahebine Seydi Republic of the Congo Aminata Binetou-Wahebine Seydi's profile →
Citations per field
00.5×1.7×
Aminata Binetou-Wahebine Seydi · 1×
Citations per year

Countries citing papers authored by Thomas Samba

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Samba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thomas Samba, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thomas Samba Line = papers co-authored together Thomas Samba links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 202038
2 201638
3 201738
4 201625
5 201625
6 201824
7 201924
8 201415
9 201910
10 20228
11 20177
12 20196
13 20214
14 20212
15 20241

About Thomas Samba

Thomas Samba is a scholar working on Infectious Diseases, Health, Pediatrics, Perinatology and Child Health, General Health Professions and Finance, having authored 15 papers that have together received 265 indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (7 papers), Vaccine Coverage and Hesitancy (2 papers), Global Maternal and Child Health (2 papers), Hepatitis Viruses Studies and Epidemiology (1 paper), Autopsy Techniques and Outcomes (1 paper), Emergency and Acute Care Studies (1 paper), Hepatitis B Virus Studies (1 paper) and Global Public Health Policies and Epidemiology (1 paper). The work is most often cited by research in Modeling and Simulation (55 citations), Health (50 citations), Infectious Diseases (100 citations), Emergency Medical Services (24 citations) and Pediatrics, Perinatology and Child Health (27 citations). Thomas Samba has collaborated with scholars based in Sierra Leone, United States and India. Frequent co-authors include Paul Sengeh, Harold Thomas, Mohammad B. Jalloh, Maike Winters, Helena Nordenstedt, Guoqing Shi, Feng Xu, Xinxu Li, Xiaofeng Liang and Henry B. Perry. Their work appears in journals such as Journal of Global Health, Annals of Epidemiology, Vaccine, Conflict and Health and Frontiers in Public Health.

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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