J. Bennett

6.7k citations
107 papers · 5.8k · h-index 39

Impact in

    • Rice Cultivation and Yield Improvement
    • Plant Stress Responses and Tolerance
    • Plant Disease Resistance and Genetics
    • Photosynthetic Processes and Mechanisms

Papers in

J. Bennett

97 papers receiving 5.3k citations

Peers

J. Bennett
Comparison fields: 5 of 140
  • Plant Science 1.8k
  • Molecular Biology 2.2k
  • Immunology 464
  • Genetics 668
  • Computational Mechanics 339
Replace J. A. H. Murray with:
J. A. H. Murray United Kingdom
Xinyu Guo China
Jeffrey Lewis Caplan United States
Christoph Eckerskorn Germany
Pablo Valenzuela Chile
Daofeng Liu China
John C. Bennett United States
Hewson Swift United States
Rüdiger GW Simon Germany
Marcus Frohme Germany
J. Bennett relative to J. A. H. Murray United Kingdom J. A. H. Murray's profile →
Citations per field
00.5×10×20×30.8×
J. A. H. Murray · 1×
Citations per year

Countries citing papers authored by J. Bennett

Since Specialization
Citations

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

Fields of papers citing papers by J. Bennett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 107 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997534
2 2009503
3 1977356
4 1965314
5 1980256
6 1983253
7 1991253
8 2002245
9 1988229
10 1998181
11 1994136
12 2005124
13 1993109
14 1978102
15 198797
16 199492
17 196988
18 198487
19 199180
20 199178

About J. Bennett

J. Bennett is a scholar working on Computational Mechanics, Molecular Biology, Immunology, Genetics and Plant Science, having authored 107 papers that have together received 5.8k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (18 papers), Fluid Dynamics and Turbulent Flows (17 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers), Rice Cultivation and Yield Improvement (9 papers), Plant Stress Responses and Tolerance (7 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), RNA and protein synthesis mechanisms (5 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Plant Science (1.8k citations), Molecular Biology (2.2k citations), Immunology (464 citations), Genetics (668 citations) and Computational Mechanics (339 citations). J. Bennett has collaborated with scholars based in United States, Philippines and United Kingdom. Frequent co-authors include William J. Dreyer, H Michel, Rowena H. Oane, Katherine E. Steinback, Charles J. Arntzen, D. C. McCormick, Donald F. Hunt, Jeffrey Shabanowitz, S. V. Krishna Jagadish and Sigrid Heuer. Their work appears in journals such as Theoretical and Applied Genetics, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Field Crops Research and FEBS Letters.

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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