Solomon Shitu

17 papers receiving 290 citations

Peers

Solomon Shitu
Comparison fields: 5 of 55
  • Health 152
  • Modeling and Simulation 63
  • Obstetrics and Gynecology 52
  • Infectious Diseases 111
  • Pediatrics, Perinatology and Child Health 88
Replace Bailah Leigh with:
Bailah Leigh Sierra Leone
Mandisa Singata‐Madliki South Africa
Abhay Kudale Switzerland
Kathleen O’Connor Duffany United States
Antônio Rodrigues Ferreira Júnior Brazil
Mariam Abdulmalik Qatar
Birhan Tsegaw Taye Ethiopia
Diriba Mulisa Ethiopia
Abera Mersha Ethiopia
Elizabeth Ayebare Uganda
Solomon Shitu relative to Bailah Leigh Sierra Leone Bailah Leigh's profile →
Citations per field
00.5×3.5×
Bailah Leigh · 1×
Citations per year

Countries citing papers authored by Solomon Shitu

Since Specialization
Citations

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

Fields of papers citing papers by Solomon Shitu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Solomon Shitu, 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 Solomon Shitu Line = papers co-authored together Solomon Shitu links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2021117
2 201947
3 202223
4 202118
5 202113
6 202112
7 202112
8 202111
9 202310
10 202110
11 20217
12 20216
13 20214
14 20234
15 20213
16 20232
17 20231

About Solomon Shitu

Solomon Shitu is a scholar working on Pediatrics, Perinatology and Child Health, Nutrition and Dietetics, Infectious Diseases, Health and General Health Professions, having authored 17 papers that have together received 300 indexed citations. Recurring topics across this work include Global Maternal and Child Health (8 papers), Child Nutrition and Water Access (5 papers), Vaccine Coverage and Hesitancy (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Maternal and Neonatal Healthcare (3 papers), Migration, Health and Trauma (2 papers), COVID-19 Pandemic Impacts (2 papers) and Maternal and Perinatal Health Interventions (2 papers). The work is most often cited by research in Health (152 citations), Modeling and Simulation (63 citations), Obstetrics and Gynecology (52 citations), Infectious Diseases (111 citations) and Pediatrics, Perinatology and Child Health (88 citations). Solomon Shitu has collaborated with scholars based in Ethiopia. Frequent co-authors include Haimanot Abebe, Ayenew Mose, Merga Dheresa, Biftu Geda, Alex Yeshaneh, Amare Zewdie, Abebaw Wasie, Kassahun Haile, Abebe Timerga and Zemenu Yohannes Kassa. Their work appears in journals such as PLoS ONE, BMJ Open, Infection and Drug Resistance, Journal of Pharmaceutical Policy and Practice and BMC Pregnancy and Childbirth.

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.

Explore authors with similar magnitude of impact