W. A. Russell

6.4k total citations · 1 hit paper
108 papers, 4.2k citations indexed

About

W. A. Russell is a scholar working on Plant Science, Agronomy and Crop Science and Genetics. According to data from OpenAlex, W. A. Russell has authored 108 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 94 papers in Plant Science, 50 papers in Agronomy and Crop Science and 35 papers in Genetics. Recurrent topics in W. A. Russell's work include Genetics and Plant Breeding (69 papers), Crop Yield and Soil Fertility (50 papers) and Genetic Mapping and Diversity in Plants and Animals (34 papers). W. A. Russell is often cited by papers focused on Genetics and Plant Breeding (69 papers), Crop Yield and Soil Fertility (50 papers) and Genetic Mapping and Diversity in Plants and Animals (34 papers). W. A. Russell collaborates with scholars based in United States, Canada and Japan. W. A. Russell's co-authors include S. A. Eberhart, W. D. Guthrie, Arnel R. Hallauer, L. H. Penny, G. F. Sprague, María Martín, A. W. Grombacher, Kendall R. Lamkey, J. G. Coors and Jerome A. Klun and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Genetics and Crop Science.

In The Last Decade

W. A. Russell

105 papers receiving 3.4k citations

Hit Papers

align trajectories

What are hit papers?

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.

Stability Parameters for Comparing Varieties¹

1966 2.7k citations S. A. Eberhart, W. A. Russell Crop Science profile →

Peers

W. A. Russell

PS

ACS

GENET

MB

SS

S. A. Eberhart United States

Arnel R. Hallauer United States

K. J. Frey United States

H. W. Johnson United States

Dan Makumbi Kenya

J. B. Miranda Filho Brazil

J. Hamblin Australia

L. E. Talbert United States

B. Skovmand Mexico

Baffour Badu‐Apraku Nigeria

S. A. Eberhart United States

W. A. Russell

3.9k ×1.0

PS

1.3k ×0.9

ACS

1.2k ×1.1

GENET

193 ×0.6

MB

299 ×0.9

SS

Citations per year, relative to W. A. Russell W. A. Russell (= 1×) peers S. A. Eberhart

Countries citing papers authored by W. A. Russell

Since Specialization

Citations

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

Fields of papers citing papers by W. A. Russell

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. A. Russell. 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 W. A. Russell. The network helps show where W. A. Russell may publish in the future.

Co-authorship network of co-authors of W. A. Russell

This figure shows the co-authorship network connecting the top 25 collaborators of W. A. Russell. A scholar is included among the top collaborators of W. A. Russell 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 W. A. Russell. W. A. Russell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Hallauer, Arnel R., W. A. Russell, & Paul R. White. (2000). Registration of BS21(R)C7 and BS22(R)C7 maize germplasm. Crop Science. 40(5). 11 indexed citations

2.

Russell, W. A., et al.. (1992). Evaluation of a modified reciprocal recurrent selection procedure for maize improvement. Maydica. 37(1). 61. 8 indexed citations

3.

Russell, W. A., et al.. (1991). Comparison of phenotypic correlations among S1 lines, and their testcrosses, from four Iowa Stiff Stalk populations of maize. Maydica. 36(1). 39. 9 indexed citations

4.

Russell, W. A., et al.. (1991). Performance and Genetic Variance among S₁ Lines and Testcrosses of Iowa Stiff Stalk Synthetic Maize. Crop Science. 31(1). 76–80. 10 indexed citations

5.

Grombacher, A. W., W. A. Russell, & W. D. Guthrie. (1989). Effects of recurrent selection in two maize synthetics on agronomic traits of S1 lines.. Maydica. 34(4). 343–352. 6 indexed citations

6.

Russell, W. A., et al.. (1987). The effect of spacing of seedpieces on yield, quality and economic value for processing of Shepody potatoes in Manitoba. American Journal of Potato Research. 64(4). 177–189. 22 indexed citations

7.

Guthrie, W. D., et al.. (1985). Performance of Maize Inbred Line B86 in Hybrid Combinations: Resistance to First- and Second-generation European Corn Borers (Lepidoptera: Pyralidae). Journal of Economic Entomology. 78(1). 93–95. 10 indexed citations

8.

Smith, O. S., Arnel R. Hallauer, & W. A. Russell. (1981). Use of index selection in recurrent selection programs in maize. Euphytica. 30(3). 611–618. 35 indexed citations

9.

Russell, W. A., et al.. (1980). Effects of rates of nitrogen fertilizer on maize inbred lines and hybrid progeny. I. Prediction of yield response.. Maydica. 25(2). 65–79. 30 indexed citations

10.

Russell, W. A., et al.. (1980). Effects of rates of nitrogen fertilizer on maize inbred lines and hybrid progeny. II. Correlations among agronomic traits.. Maydica. 25(2). 81–94. 9 indexed citations

11.

Russell, W. A., et al.. (1978). Selection procedures in the development of maize inbred lines and the effects of plant densities on the relationships between inbred traits and hybrid yields. Iowa State University Digital Repository (Iowa State University). 36(585). 1. 3 indexed citations

12.

Russell, W. A., et al.. (1977). Evaluation of Recurrent Selection for Specific Combining Ability in Two Open‐pollinated Maize Cultivars¹. Crop Science. 17(4). 647–651. 17 indexed citations

13.

Russell, W. A.. (1976). Registration of B75 Germplasm Line of Maize (Zea mays L.)¹ (Reg. No. GP 62). Crop Science. 16(2). 315–315.

14.

Hill, John H., C. A. Martinson, & W. A. Russell. (1974). Seed Transmission of Maize Dwarf Mosaic and Wheat Streak Mosaic Viruses in Maize and Response of Inbred Lines¹. Crop Science. 14(2). 232–235. 20 indexed citations

15.

Russell, W. A.. (1972). Effect of Leaf Angle on Hybrid Performance in Maize (Zea mays L.)¹. Crop Science. 12(1). 90–92. 6 indexed citations

16.

Russell, W. A., et al.. (1971). Effectiveness of Selection in Successive Generations of Maize Inbred Progenies for Improvement of Hybrid Yield¹. Crop Science. 11(5). 703–706. 4 indexed citations

17.

Russell, W. A. & S. A. Eberhart. (1968). Testcrosses of One‐ and Two‐Ear Types of Corn Belt Maize Inbreds. II. Stability of Performance in Different Environments¹. Crop Science. 8(2). 248–251. 10 indexed citations

18.

Russell, W. A. & A. H. Teich. (1967). Selection in Zea mays L. by inbred line appearance and testcross performance in low and high plant densities. Iowa State University Digital Repository (Iowa State University). 35(552). 1. 6 indexed citations

19.

Russell, W. A., et al.. (1962). Performance of Four Inbreds in Single‐Cross Hybrids as Influenced by Plant Density and Spacing Patterns¹. Crop Science. 2(5). 441–444. 13 indexed citations

20.

Sprague, G. F., W. A. Russell, & L. H. Penny. (1959). FURTHER STUDIES ON CONVERGENT IMPROVEMENT IN CORN. Genetics. 44(3). 341–346. 3 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.

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