Joshua N. Cobb
- Plant Science top 2%
- Genetics top 5%
- Molecular Biology
- Ecology top 10%
- Agronomy and Crop Science top 10%
- Co-authors
- Susan R. McCouchGenevieve DeClerckRandy ClarkAnthony J. GreenbergP. BiswasJohn Damien PlattenJuan David ArbelaezJessica Rutkoski
- Topics
- Genetic Mapping and Diversity in Plants and Animals (18 papers)Rice Cultivation and Yield Improvement (11 papers)Genetics and Plant Breeding (10 papers)
- Cited by
- Plant ScienceGeneticsHorticulture
- Partner nations
- PhilippinesUnited StatesBangladesh
In The Last Decade
Joshua N. Cobb
19 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Plant Science 1.2k
- Genetics 636
- Molecular Biology 150
- Ecology 136
- Agronomy and Crop Science 92
Countries citing papers authored by Joshua N. Cobb
This map shows the geographic impact of Joshua N. Cobb'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 Joshua N. Cobb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joshua N. Cobb more than expected).
Fields of papers citing papers by Joshua N. Cobb
This network shows the impact of papers produced by Joshua N. Cobb. 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 Joshua N. Cobb. The network helps show where Joshua N. Cobb may publish in the future.
Co-authorship network of co-authors of Joshua N. Cobb
This figure shows the co-authorship network connecting the top 25 collaborators of Joshua N. Cobb. A scholar is included among the top collaborators of Joshua N. Cobb 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 Joshua N. Cobb. Joshua N. Cobb is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 11 | |
| 5 | 19 | |
| 6 | 8 | |
| 7 | 25 | |
| 8 | 19 | |
| 9 | The evolution of a revolution: re-designing green revolution breeding programs in Asia and Africa to increase rates of genetic gain. [W020] | 1 |
| 10 | 10 | |
| 11 | 64 | |
| 12 | 55 | |
| 13 | Enhancing the rate of genetic gain in public-sector plant breeding programs: lessons from the breeder’s equationbreakdown → | 250 |
| 14 | 27 | |
| 15 | 125 | |
| 16 | 25 | |
| 17 | 83 | |
| 18 | 199 | |
| 19 | Next-generation phenotyping: requirements and strategies for enhancing our understanding of genotype–phenotype relationships and its relevance to crop improvementbreakdown → | 428 |
About Joshua N. Cobb
Joshua N. Cobb is a scholar working on Genetics, Plant Science and General Agricultural and Biological Sciences, having authored 19 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (18 papers), Rice Cultivation and Yield Improvement (11 papers) and Genetics and Plant Breeding (10 papers). The work is most often cited by research in Plant Science (1.2k citations), Genetics (636 citations) and Horticulture (11 citations). Joshua N. Cobb has collaborated with scholars based in Philippines, United States and Bangladesh. Frequent co-authors include Susan R. McCouch, Genevieve DeClerck, Randy Clark, Anthony J. Greenberg, P. Biswas, John Damien Platten, Juan David Arbelaez, Jessica Rutkoski, Michael Quinn and G. N. Atlin. Their work appears in journals such as PLoS ONE, Plant and Soil and Theoretical and Applied Genetics.
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.