Tabitha Kimani

18 papers receiving 420 citations

Peers

Tabitha Kimani
Comparison fields: 5 of 61
  • Applied Microbiology and Biotechnology 104
  • Molecular Medicine 86
  • Pollution 140
  • Agronomy and Crop Science 74
  • Infectious Diseases 55
Replace Emmanuel Kabali with:
Emmanuel Kabali Italy
Lucy Coyne United Kingdom
Stella Kiambi Kenya
Peter Mangesho Tanzania
Suzanne Eckford United Kingdom
Kevin Queenan United Kingdom
Kofi Afakye Ghana
Eric Koka Ghana
Hiwot Desta Ethiopia
Anaïs Léger Switzerland
Tabitha Kimani relative to Emmanuel Kabali Italy Emmanuel Kabali's profile →
Citations per field
00.5×1.5×1.8×
Emmanuel Kabali · 1×
Citations per year

Countries citing papers authored by Tabitha Kimani

Since Specialization
Citations

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

Fields of papers citing papers by Tabitha Kimani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tabitha Kimani, 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 Tabitha Kimani Line = papers co-authored together Tabitha Kimani links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2020142
2 202147
3 202034
4 202131
5 202027
6 202125
7 201923
8 201821
9 201618
10 202212
11 201412
12 20218
13 20166
14 20055
15 20245
16
Estimation of the Rift Valley Fever burden of disease in the 2006/2007 outbreak in Kenya
20124
17 20261
18 20251

About Tabitha Kimani

Tabitha Kimani is a scholar working on Public Health, Environmental and Occupational Health, Agronomy and Crop Science, Infectious Diseases, Pollution and Health, having authored 18 papers that have together received 422 indexed citations. Recurring topics across this work include Zoonotic diseases and public health (8 papers), Animal Disease Management and Epidemiology (7 papers), Vaccine Coverage and Hesitancy (3 papers), Pharmaceutical and Antibiotic Environmental Impacts (3 papers), Antibiotic Use and Resistance (2 papers), Vector-Borne Animal Diseases (2 papers), Viral Infections and Outbreaks Research (2 papers) and Rangeland Management and Livestock Ecology (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (104 citations), Molecular Medicine (86 citations), Pollution (140 citations), Agronomy and Crop Science (74 citations) and Infectious Diseases (55 citations). Tabitha Kimani has collaborated with scholars based in Italy, Kenya and Tanzania. Frequent co-authors include Mark A. Caudell, Emmanuel Kabali, Alejandro Dorado-García, Stella Kiambi, Folorunso O. Fasina, Suzanne Eckford, Peter Mangesho, Eric Koka, Kofi Afakye and Denis K. Byarugaba. Their work appears in journals such as EcoHealth, Frontiers in Veterinary Science, Antibiotics, PLoS ONE and BMJ Global 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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