Dan Makumbi
- Plant Science top 0.5%
- Genetics top 0.5%
- Agronomy and Crop Science top 0.5%
- Molecular Biology
- General Agricultural and Biological Sciences top 1%
- Co-authors
- Marianne BänzigerCosmos MagorokoshoB. M. PrasannaJosé CrossaYoseph BeyeneStephen MugoJ. L. ArausJianbing Yan
- Topics
- Genetics and Plant Breeding (55 papers)Genetic Mapping and Diversity in Plants and Animals (49 papers)Crop Yield and Soil Fertility (23 papers)
- Partner nations
- KenyaMexicoUnited States
In The Last Decade
Dan Makumbi
88 papers receiving 3.6k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Plant Science 3.3k
- Genetics 2.0k
- Agronomy and Crop Science 868
- Molecular Biology 363
- General Agricultural and Biological Sciences 233
Countries citing papers authored by Dan Makumbi
This map shows the geographic impact of Dan Makumbi'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 Dan Makumbi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Makumbi more than expected).
Fields of papers citing papers by Dan Makumbi
This network shows the impact of papers produced by Dan Makumbi. 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 Dan Makumbi. The network helps show where Dan Makumbi may publish in the future.
Co-authorship network of co-authors of Dan Makumbi
This figure shows the co-authorship network connecting the top 25 collaborators of Dan Makumbi. A scholar is included among the top collaborators of Dan Makumbi 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 Dan Makumbi. Dan Makumbi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 8 | |
| 8 | 2 | |
| 9 | Beat the stress: breeding for climate resilience in maize for the tropical rainfed environmentsbreakdown → | 131 |
| 10 | 16 | |
| 11 | 21 | |
| 12 | 14 | |
| 13 | 86 | |
| 14 | 20 | |
| 15 | 19 | |
| 16 | 26 | |
| 17 | 4 | |
| 18 | 40 | |
| 19 | Yield potential of synthetic maize varieties under stress and non-stress conditions | 2 |
| 20 | Towards improving highland bananas | 4 |
About Dan Makumbi
Dan Makumbi is a scholar working on Agronomy and Crop Science, Plant Science and Genetics, having authored 92 papers that have together received 3.8k indexed citations. Recurring topics across this work include Genetics and Plant Breeding (55 papers), Genetic Mapping and Diversity in Plants and Animals (49 papers) and Crop Yield and Soil Fertility (23 papers). The work is most often cited by research in Plant Science (3.3k citations), Agronomy and Crop Science (868 citations) and Genetics (2.0k citations). Dan Makumbi has collaborated with scholars based in Kenya, Mexico and United States. Frequent co-authors include Marianne Bänziger, Cosmos Magorokosho, B. M. Prasanna, José Crossa, Yoseph Beyene, Stephen Mugo, J. L. Araus, Jianbing Yan, Manje Gowda and Jill E. Cairns. Their work appears in journals such as Genetics, International Journal of Molecular Sciences and Frontiers in Plant Science.
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.