David Mwangi

558 citations
22 papers · 400 · h-index 10

Impact in

Papers in

David Mwangi

19 papers receiving 378 citations

Peers

David Mwangi
Comparison fields: 5 of 71
  • Insect Science 171
  • Ecological Modeling 30
  • Endocrinology 30
  • Social Psychology 91
  • Agronomy and Crop Science 36
Replace Forrest L. Mitchell with:
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Citations per field
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Citations per year

Countries citing papers authored by David Mwangi

Since Specialization
Citations

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

Fields of papers citing papers by David Mwangi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202082
2 201976
3 202155
4 202135
5 201333
6 200528
7 201126
8 201215
9 201511
10 20089
11
Challenges in milk processing and marketing among dairies in the semi-arid tropical Kenya.
20108
12 20218
13 20155
14 20212
15 20142
16
Collaborative Exploration for Panicum maximum Genetic Resources in Kenya, March, 2012 (Exploration and Field Research in Foreign Countries)
20111
17 20241
18 20181
19
A manual for estimating cattle populations: designed for the highlands and high potential districts of Kenya
20051
20
Silage Making by Smallholder Dairy Farmers in Kenya: Potential and Constraints of Small Bag Silage
20211

About David Mwangi

David Mwangi is a scholar working on Agronomy and Crop Science, Management, Monitoring, Policy and Law, Ecology, Evolution, Behavior and Systematics, Food Science and Social Psychology, having authored 22 papers that have together received 400 indexed citations. Recurring topics across this work include Rangeland Management and Livestock Ecology (6 papers), Ruminant Nutrition and Digestive Physiology (5 papers), Animal Diversity and Health Studies (4 papers), Insect Utilization and Effects (3 papers), Animal and Plant Science Education (3 papers), Livestock Management and Performance Improvement (3 papers), Agriculture and Rural Development Research (2 papers) and Plant and animal studies (2 papers). The work is most often cited by research in Insect Science (171 citations), Ecological Modeling (30 citations), Endocrinology (30 citations), Social Psychology (91 citations) and Agronomy and Crop Science (36 citations). David Mwangi has collaborated with scholars based in Kenya, Netherlands and Switzerland. Frequent co-authors include Chrysantus M. Tanga, Sunday Ekesi, Sevgan Subramanian, Joop J. A. van Loon, Marcel Dicke, Isaac M. Osuga, Shaphan Y. Chia, Thomas Dubois, Komi K. M. Fiaboe and Menale Kassie. Their work appears in journals such as Journal of Insects as Food and Feed, The Journal of Immunology, Journal of Apicultural Research, The Journal of Infectious Diseases and Scientific African.

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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