David Mbugua

1.6k total citations · 1 hit paper
15 papers, 1.2k citations indexed

About

David Mbugua is a scholar working on Soil Science, General Agricultural and Biological Sciences and Agronomy and Crop Science. According to data from OpenAlex, David Mbugua has authored 15 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Soil Science, 4 papers in General Agricultural and Biological Sciences and 4 papers in Agronomy and Crop Science. Recurrent topics in David Mbugua's work include Ruminant Nutrition and Digestive Physiology (4 papers), Agricultural Innovations and Practices (4 papers) and Soil Carbon and Nitrogen Dynamics (3 papers). David Mbugua is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (4 papers), Agricultural Innovations and Practices (4 papers) and Soil Carbon and Nitrogen Dynamics (3 papers). David Mbugua collaborates with scholars based in United States, Kenya and Australia. David Mbugua's co-authors include Alice N. Pell, P. Schofield, Johannes Lehmann, Solomon Ngoze, Susan J. Riha, Joshua Muia, Louis Verchot, James Kinyangi, I. Lobe and Dawit Solomon and has published in prestigious journals such as SHILAP Revista de lepidopterología, Global Change Biology and Agriculture Ecosystems & Environment.

In The Last Decade

David Mbugua

14 papers receiving 1.1k citations

Hit Papers

Analysis of condensed tannins: a review 2001 2026 2009 2017 2001 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Analysis of condensed tannins: a review
    2001 721 citations P. Schofield, David Mbugua et al. Animal Feed Science and Technology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
David Mbugua United States 8 242 218 200 198 197 15 1.2k
A. K. Verma India 14 450 1.9× 143 0.7× 147 0.7× 222 1.1× 80 0.4× 103 933
Francis Bayo Lewu South Africa 18 647 2.7× 391 1.8× 164 0.8× 240 1.2× 70 0.4× 68 1.5k
Marcin Barański Poland 19 777 3.2× 283 1.3× 230 1.1× 297 1.5× 133 0.7× 40 1.5k
Martina Bavec Slovenia 18 550 2.3× 141 0.6× 252 1.3× 294 1.5× 60 0.3× 66 1.1k
Alfred Odindo South Africa 19 896 3.7× 97 0.4× 163 0.8× 145 0.7× 67 0.3× 110 1.5k
Giuseppe De Mastro Italy 24 763 3.2× 170 0.8× 181 0.9× 278 1.4× 36 0.2× 90 1.5k
Ugo De Corato Italy 19 904 3.7× 350 1.6× 68 0.3× 278 1.4× 70 0.4× 46 1.6k
Manuel Ângelo Rodrigues Portugal 25 1.2k 5.1× 429 2.0× 222 1.1× 228 1.2× 96 0.5× 141 1.8k
Federico Antonio Gutiérrez-Miceli Mexico 23 1.0k 4.1× 546 2.5× 100 0.5× 278 1.4× 64 0.3× 133 1.8k
Eric H. Simonne United States 25 1.1k 4.6× 549 2.5× 144 0.7× 260 1.3× 105 0.5× 164 2.2k

Countries citing papers authored by David Mbugua

Since Specialization
Citations

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

Fields of papers citing papers by David Mbugua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Mbugua

This figure shows the co-authorship network connecting the top 25 collaborators of David Mbugua. A scholar is included among the top collaborators of David Mbugua 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 David Mbugua. David Mbugua is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Shisanya, Chris A., et al.. (2022). Effects of Oil Production on Groundwater Levels in Lokichar Basin, Turkana County, Kenya. OALib. 9(4). 1–16. 1 indexed citations
2.
3.
Mbugua, David, et al.. (2015). Information and Communication Technologies (ICTs) Attract Youth into Profitable Agriculture in Kenya. East African Agricultural and Forestry Journal. 81(1). 24–33. 74 indexed citations
4.
Pell, Alice N., et al.. (2012). The Effects of Some External Management Factors on the Nitrogen Composition of Cattle Manure on Smallholder Farms. SHILAP Revista de lepidopterología. 2012. 1–11. 4 indexed citations
5.
Stephens, Emma C., Charles F. Nicholson, Douglas R. Brown, et al.. (2012). “Modeling the impact of natural resource-based poverty traps on food security in Kenya: The Crops, Livestock and Soils in Smallholder Economic Systems (CLASSES) model”. Food Security. 4(3). 423–439. 54 indexed citations
6.
Stephens, Emma C., Charles F. Nicholson, Douglas R. Brown, et al.. (2011). Modeling the Impact of Natural Resource-Based Poverty Traps on Food Security in Kenya: The Crops, Livestock and Soils in Smallholder Economic Systems (CLASSES) Model. SSRN Electronic Journal. 6 indexed citations
7.
Pell, Alice N., David Mbugua, D. J. R. Cherney, et al.. (2010). Effects of storage methods on chemical composition of manure and manure decomposition in soil in small-scale Kenyan systems. Agriculture Ecosystems & Environment. 139(1-2). 134–141. 22 indexed citations
8.
Ngoze, Solomon, Susan J. Riha, David Mbugua, et al.. (2008). The Impacts of Household Land Use and Socio Economic Factors on the Soil Fertility of Smallholder Farms in the Highlands of Kenya. SSRN Electronic Journal. 1 indexed citations
9.
Mbugua, David, et al.. (2008). In vitro fermentation of intact and fractionated tropical herbaceous and tree legumes containing tannins and alkaloids. Animal Feed Science and Technology. 146(1-2). 1–20. 15 indexed citations
10.
Ngoze, Solomon, Susan J. Riha, Johannes Lehmann, et al.. (2008). Nutrient constraints to tropical agroecosystem productivity in long‐term degrading soils. Global Change Biology. 14(12). 2810–2822. 48 indexed citations
11.
Solomon, Dawit, Johannes Lehmann, James Kinyangi, et al.. (2006). Long‐term impacts of anthropogenic perturbations on dynamics and speciation of organic carbon in tropical forest and subtropical grassland ecosystems. Global Change Biology. 13(2). 511–530. 191 indexed citations
12.
Mbugua, David, Alice N. Pell, Danny G. Fox, & P. Schofield. (2005). The effects of proanthocyanidins from Calliandra calothyrsus and the alkaloid sparteine on in vitro fiber digestion. Animal Feed Science and Technology. 121(1-2). 89–107. 9 indexed citations
13.
Barrett, Christopher B., Alice N. Pell, David Mbugua, et al.. (2004). The Interplay Between Smallholder Farmers and Fragile Tropical Agroecosystems in the Kenyan Highlands. SSRN Electronic Journal. 6 indexed citations
14.
Schofield, P., David Mbugua, & Alice N. Pell. (2001). Analysis of condensed tannins: a review. Animal Feed Science and Technology. 91(1-2). 21–40. 721 indexed citations breakdown →
15.
Mbugua, David, et al.. (2000). Methodological appro-aches to on-farm research for improved soil productivity in KAR-KASII and Kitale mandate regions.

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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