Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Post–Green Revolution Trends in Yield Potential of Temperate Maize in the North‐Central United States
1999512 citationsD. N. Duvick, Kenneth G. CassmanCrop Scienceprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of D. N. Duvick'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 D. N. Duvick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. N. Duvick more than expected).
This network shows the impact of papers produced by D. N. Duvick. 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 D. N. Duvick. The network helps show where D. N. Duvick may publish in the future.
Co-authorship network of co-authors of D. N. Duvick
This figure shows the co-authorship network connecting the top 25 collaborators of D. N. Duvick.
A scholar is included among the top collaborators of D. N. Duvick 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 D. N. Duvick. D. N. Duvick is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Sanguineti, Maria Corinna, D. N. Duvick, Stephen J. Smith, Pierangelo Landi, & Roberto Tuberosa. (2006). Effects of long-term selection on seedling traits and ABA accumulation in commercial maize hybrids. Maydica. 51(2). 329–338.22 indexed citations
2.
Duvick, D. N.. (2005). Genetic progress in yield of United States maize (Zea mays L.). Maydica. 50. 193–202.298 indexed citations
Hardon, J. J., D. N. Duvick, & Bert Visser. (2000). Genetic diversity, conservation and development.. Socio-Environmental Systems Modeling. 1–7.2 indexed citations
5.
Duvick, D. N. & Kenneth G. Cassman. (1999). Post–Green Revolution Trends in Yield Potential of Temperate Maize in the North‐Central United States. Crop Science. 39(6). 1622–1630.512 indexed citations breakdown →
Duvick, D. N., Jules Janick, & James E. Simon. (1990). Genetic enhancement and plant breeding.. 90–96.8 indexed citations
11.
Duvick, D. N., Jock R. Anderson, & Peter Hazell. (1989). Possible genetic causes of increased variability in U.S. maize yields.. 147–156.10 indexed citations
12.
Blasing, T. J., et al.. (1984). Response Functions Revisited. UA Campus Repository (The University of Arizona). 44. 1–15.184 indexed citations
Blasing, T. J., D. N. Duvick, & Edward R. Cook. (1983). Filtering the Effects of Competition from Ring-Width Series. UA Campus Repository (The University of Arizona). 43.38 indexed citations
15.
Duvick, D. N. & T. J. Blasing. (1983). Iowa's Oldest Oaks. Proceedings of the Iowa Academy of Science. 90(1). 32–34.7 indexed citations
Blasing, T. J., D. N. Duvick, & D.C. West. (1981). DENDROCLIMATIC CALIBRATION AND VERIFICATION USING REGIONALLY AVERAGED AND SINGLE STATION PRECIPITATION DATA. UA Campus Repository (The University of Arizona).117 indexed citations
Duvick, D. N.. (1979). An attempt to verify dendroclimatic reconstructions using independent tree-ring chronologies. UA Campus Repository (The University of Arizona).3 indexed citations
20.
Duvick, D. N.. (1977). MAJOR UNITED STATES CROPS IN 1976. Annals of the New York Academy of Sciences. 287(1). 86–96.8 indexed citations
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.