Morris Agaba

3.7k citations
48 papers · 1.7k · h-index 18

Impact in

    • Aquaculture Nutrition and Growth
  • Physiology top 1%
    • Reproductive biology and impacts on aquatic species

Papers in

    • Genetic and phenotypic traits in livestock 16
    • Genetic Mapping and Diversity in Plants and Animals 8
    • Animal Genetics and Reproduction 4
    • Trypanosoma species research and implications 11

Morris Agaba

47 papers receiving 1.6k citations

Peers

Morris Agaba
Comparison fields: 5 of 99
  • Aquatic Science 710
  • Physiology 290
  • Biochemistry 271
  • Immunology 526
  • Nutrition and Dietetics 208
Replace Alan J. Teale with:
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Morris Agaba relative to Alan J. Teale United Kingdom Alan J. Teale's profile →
Citations per field
00.5×3.5×
Alan J. Teale · 1×
Citations per year

Countries citing papers authored by Morris Agaba

Since Specialization
Citations

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

Fields of papers citing papers by Morris Agaba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001294
2 2004170
3 2003150
4 2005143
5 2001130
6 2004123
7 201378
8 200548
9 200647
10 200944
11 201644
12 200941
13 201729
14
Biochemical and molecular studies of the polyunsaturated fatty acid desaturation pathway in fish
200323
15 200019
16 201818
17 202017
18 201917
19 201016
20
Relative abundance of tsetse fly species and their infection rates in Simanjiro, northern Tanzania.
201415

About Morris Agaba

Morris Agaba is a scholar working on Genetics, Epidemiology, Aquatic Science, Biochemistry and Immunology, having authored 48 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (16 papers), Trypanosoma species research and implications (11 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers), Lipid metabolism and biosynthesis (6 papers), Aquaculture Nutrition and Growth (5 papers), Animal Genetics and Reproduction (4 papers), Vector-Borne Animal Diseases (4 papers) and Child Nutrition and Water Access (3 papers). The work is most often cited by research in Aquatic Science (710 citations), Physiology (290 citations), Biochemistry (271 citations), Immunology (526 citations) and Nutrition and Dietetics (208 citations). Morris Agaba has collaborated with scholars based in Kenya, United Kingdom and Tanzania. Frequent co-authors include Douglas R. Tocher, Alan J. Teale, Nicola Hastings, James R. Dick, Cathryn A. Dickson, Xiaozhong Zheng, J.R. Dick, Michael J. Leaver, J. R. Sargent and Stephen J. Kemp. Their work appears in journals such as Animal Genetics, Frontiers in Genetics, Tropical Animal Health and Production, BMC Genomics and Marine Biotechnology.

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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