S. J. Wall

1.4k total citations · 1 hit paper
8 papers, 1.1k citations indexed

About

S. J. Wall is a scholar working on Genetics, Plant Science and Molecular Biology. According to data from OpenAlex, S. J. Wall has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 8 papers in Plant Science and 2 papers in Molecular Biology. Recurrent topics in S. J. Wall's work include Genetic Mapping and Diversity in Plants and Animals (7 papers), Genetics and Plant Breeding (6 papers) and Wheat and Barley Genetics and Pathology (3 papers). S. J. Wall is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (7 papers), Genetics and Plant Breeding (6 papers) and Wheat and Barley Genetics and Pathology (3 papers). S. J. Wall collaborates with scholars based in United States, Switzerland and China. S. J. Wall's co-authors include J. S. C. Smith, O. S. Smith, M. L. Senior, Hu Shu, S. E. Mitchell, Stephen Kresovich, Elizabeth Jones, Tanveer Hussain, D. Podlich and Margiad Williams and has published in prestigious journals such as Theoretical and Applied Genetics, Crop Science and Euphytica.

In The Last Decade

S. J. Wall

8 papers receiving 959 citations

Hit Papers

An evaluation of the utility of SSR loci as molecular mar... 1997 2026 2006 2016 1997 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
S. J. Wall United States 6 939 646 183 85 69 8 1.1k
G. A. Churchill United States 4 1.2k 1.2× 616 1.0× 291 1.6× 138 1.6× 54 0.8× 6 1.4k
S. E. Mitchell United States 10 1.2k 1.3× 761 1.2× 273 1.5× 118 1.4× 208 3.0× 14 1.5k
M. D. Lagu India 15 778 0.8× 496 0.8× 152 0.8× 65 0.8× 100 1.4× 24 905
Jan Tiväng United States 7 726 0.8× 341 0.5× 219 1.2× 107 1.3× 26 0.4× 7 863
Britta Schulz Germany 19 979 1.0× 333 0.5× 378 2.1× 63 0.7× 44 0.6× 29 1.1k
David Benscher United States 14 954 1.0× 332 0.5× 108 0.6× 32 0.4× 167 2.4× 27 1.0k
Louise S. O’Donoughue Canada 22 1.5k 1.6× 628 1.0× 386 2.1× 51 0.6× 108 1.6× 42 1.6k
Sam Cartinhour United States 10 1.1k 1.2× 682 1.1× 337 1.8× 42 0.5× 22 0.3× 15 1.3k
Mark A. Mikel United States 19 1.0k 1.1× 483 0.7× 281 1.5× 51 0.6× 123 1.8× 36 1.1k
T. G. Krishna India 13 668 0.7× 195 0.3× 242 1.3× 48 0.6× 31 0.4× 23 786

Countries citing papers authored by S. J. Wall

Since Specialization
Citations

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

Fields of papers citing papers by S. J. Wall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. J. Wall

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

All Works

8 of 8 papers shown
1.
Smith, J. S. C., Glenn S. Cole, Henry Horng‐Shing Lu, et al.. (2009). Genetic Diversity among U.S. Sunflower Inbreds and Hybrids: Assessing Probability of Ancestry and Potential for Use in Plant Variety Protection. Crop Science. 49(4). 1295–1303. 3 indexed citations
2.
Smith, J. S. C., Tanveer Hussain, Elizabeth Jones, et al.. (2008). Use of doubled haploids in maize breeding: implications for intellectual property protection and genetic diversity in hybrid crops. Molecular Breeding. 22(1). 51–59. 64 indexed citations
3.
Smith, O. S., et al.. (2000). Evaluation of a divergent set of SSR markers to predict F1 grain yield performance and grain yield heterosis in maize.. Maydica. 45(3). 235–241. 6 indexed citations
4.
Smith, J. S. C., Hu Shu, O. S. Smith, et al.. (1997). An evaluation of the utility of SSR loci as molecular markers in maize (Zea mays L.): comparisons with data from RFLPS and pedigree. Theoretical and Applied Genetics. 95(1-2). 163–173. 723 indexed citations breakdown →
5.
Smith, J. S. C., O. S. Smith, Scott H. Wright, S. J. Wall, & Mark Walton. (1992). Diversity of U.S. Hybrid Maize Germplasm as Revealed by Restriction Fragment Length Polymorphisms. Crop Science. 32(3). 598–604. 16 indexed citations
6.
Smith, J. S. C., et al.. (1991). The description and assessment of distances between inbred lines of maize. III. A revised scheme for the testing of distinctiveness between inbred lines utilizing DNA RFLPs. Maydica. 36(3). 213–226. 35 indexed citations
7.
Smith, J. S. C., O. S. Smith, & S. J. Wall. (1991). Associations among widely used French and U.S. maize hybrids as revealed by restriction fragment length polymorphisms. Euphytica. 54(3). 263–273. 5 indexed citations
8.
Smith, O. S., et al.. (1990). Similarities among a group of elite maize inbreds as measured by pedigree, F1 grain yield, grain yield, heterosis, and RFLPs. Theoretical and Applied Genetics. 80(6). 833–840. 254 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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