J. G. Hancock
- Plant Science top 2%
- Cell Biology top 5%
- Molecular Biology
- Ecology, Evolution, Behavior and Systematics top 10%
- Agronomy and Crop Science top 10%
- Co-authors
- M. N. SchrothRichard D. NoyesO. C. HuismanRichard W. JonesW. Thomas LanınıM. E. StanghelliniAndrew C. Magyarosy
- Topics
- Plant Pathogens and Fungal Diseases (13 papers)Plant Pathogens and Resistance (12 papers)Plant-Microbe Interactions and Immunity (7 papers)
- Partner nations
- United StatesOmanIreland
In The Last Decade
J. G. Hancock
39 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Plant Science 1.0k
- Cell Biology 281
- Molecular Biology 206
- Ecology, Evolution, Behavior and Systematics 92
- Agronomy and Crop Science 74
Countries citing papers authored by J. G. Hancock
This map shows the geographic impact of J. G. Hancock'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 J. G. Hancock with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. G. Hancock more than expected).
Fields of papers citing papers by J. G. Hancock
This network shows the impact of papers produced by J. G. Hancock. 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 J. G. Hancock. The network helps show where J. G. Hancock may publish in the future.
Co-authorship network of co-authors of J. G. Hancock
This figure shows the co-authorship network connecting the top 25 collaborators of J. G. Hancock. A scholar is included among the top collaborators of J. G. Hancock 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 J. G. Hancock. J. G. Hancock is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 10 | |
| 3 | 27 | |
| 4 | Mechanisms determining sensitivity to the antibiotic gliotoxin | 7 |
| 5 | 50 | |
| 6 | Charcoal root rot limits potential of chickpea in the Central Valley | 1 |
| 7 | 20 | |
| 8 | Disease-Suppressive Soil and Root-Colonizing Bacteriabreakdown → | 353 |
| 9 | 61 | |
| 10 | 9 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | Factors affecting soil populations of Pythium ultimum in the San Joaquin Valley of California | 22 |
| 14 | 7 | |
| 15 | 26 | |
| 16 | Root rot of cotton caused by Pythium splendens. | 1 |
| 17 | 19 | |
| 18 | 8 | |
| 19 | 11 | |
| 20 | 10 |
About J. G. Hancock
J. G. Hancock is a scholar working on Plant Science, Cell Biology and Soil Science, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Plant Pathogens and Fungal Diseases (13 papers), Plant Pathogens and Resistance (12 papers) and Plant-Microbe Interactions and Immunity (7 papers). The work is most often cited by research in Plant Science (1.0k citations), Cell Biology (281 citations) and Agronomy and Crop Science (74 citations). J. G. Hancock has collaborated with scholars based in United States, Oman and Ireland. Frequent co-authors include M. N. Schroth, Richard D. Noyes, O. C. Huisman, Richard W. Jones, W. Thomas Lanını, M. E. Stanghellini and Andrew C. Magyarosy. Their work appears in journals such as Science, PLANT PHYSIOLOGY and Soil Biology and Biochemistry.
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.