S M Kappes

4.8k total citations · 1 hit paper
59 papers, 2.8k citations indexed

About

S M Kappes is a scholar working on Genetics, Plant Science and Molecular Biology. According to data from OpenAlex, S M Kappes has authored 59 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Genetics, 20 papers in Plant Science and 15 papers in Molecular Biology. Recurrent topics in S M Kappes's work include Genetic Mapping and Diversity in Plants and Animals (35 papers), Genetic and phenotypic traits in livestock (33 papers) and Animal Genetics and Reproduction (11 papers). S M Kappes is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (35 papers), Genetic and phenotypic traits in livestock (33 papers) and Animal Genetics and Reproduction (11 papers). S M Kappes collaborates with scholars based in United States, Canada and Australia. S M Kappes's co-authors include J. W. Keele, R. T. Stone, Craig W. Beattie, M. Koohmaraie, M. D. Bishop, Timothy P. L. Smith, Tad S. Sonstegard, Gregory A. Hawkins, Sara L.F. Sunden and Todd K. Shackelford and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Genetics and Endocrinology.

In The Last Decade

S M Kappes

58 papers receiving 2.6k citations

Hit Papers

A genetic linkage map for cattle. 1994 2026 2004 2015 1994 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S M Kappes United States 23 2.3k 637 539 385 256 59 2.8k
M. D. Bishop United States 21 1.5k 0.6× 577 0.9× 365 0.7× 180 0.5× 132 0.5× 56 2.0k
H. Geldermann Germany 28 2.0k 0.9× 633 1.0× 494 0.9× 526 1.4× 223 0.9× 156 2.6k
Andre A. Eggen France 20 1.7k 0.7× 771 1.2× 586 1.1× 144 0.4× 278 1.1× 36 2.3k
Rachel Hawken Australia 32 2.4k 1.0× 726 1.1× 426 0.8× 698 1.8× 403 1.6× 92 3.1k
Yves Amigues France 21 1.4k 0.6× 681 1.1× 294 0.5× 312 0.8× 167 0.7× 45 2.0k
Jonathan E. Beever United States 25 1.2k 0.5× 705 1.1× 398 0.7× 156 0.4× 213 0.8× 86 2.0k
D. Zadworny Canada 25 966 0.4× 544 0.9× 162 0.3× 432 1.1× 123 0.5× 87 1.9k
Denis M. Larkin United Kingdom 32 2.1k 0.9× 1.2k 1.9× 1.3k 2.4× 190 0.5× 332 1.3× 103 2.9k
Keith W. Savin Australia 22 937 0.4× 509 0.8× 657 1.2× 244 0.6× 198 0.8× 37 1.9k
B. A. Freking United States 30 1.5k 0.6× 983 1.5× 184 0.3× 434 1.1× 204 0.8× 91 2.5k

Countries citing papers authored by S M Kappes

Since Specialization
Citations

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

Fields of papers citing papers by S M Kappes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S M Kappes

This figure shows the co-authorship network connecting the top 25 collaborators of S M Kappes. A scholar is included among the top collaborators of S M Kappes 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 M Kappes. S M Kappes 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.
Kappes, S M, et al.. (2006). Sequencing the bovine genome and developing a haplotype map: approaches and opportunities.. Proceedings of the 8th World Congress on Genetics Applied to Livestock Production, Belo Horizonte, Minas Gerais, Brazil, 13-18 August, 2006. 3 indexed citations
2.
Ihara, N., H. Yamakuchi, Yoshinori Taniguchi, et al.. (2003). Mapping of bovine CEBPD gene to BTA14q15–17. Animal Genetics. 34(6). 470–471. 1 indexed citations
3.
Sonstegard, Tad S., W. Barendse, Gary L. Bennett, et al.. (2001). Consensus and comprehensive linkage maps of the bovine sex chromosomes. Animal Genetics. 32(2). 115–117. 9 indexed citations
4.
Thallman, R. M., Gary L. Bennett, J. W. Keele, & S M Kappes. (2001). Efficient computation of genotype probabilities for loci with many alleles: I. Allelic peeling.. Journal of Animal Science. 79(1). 26–26. 48 indexed citations
5.
Casas, Eduardo, Gary L. Bennett, C. D. K. Bottema, et al.. (2001). Comprehensive linkage map of bovine chromosome 11. Animal Genetics. 32(2). 92–94. 3 indexed citations
6.
Smith, Timothy P. L., Eduardo Casas, Caird E. Rexroad, S M Kappes, & J. W. Keele. (2000). Bovine CAPN1 maps to a region of BTA29 containing a quantitative trait locus for meat tenderness.. Journal of Animal Science. 78(10). 2589–2589. 71 indexed citations
7.
Sonstegard, Tad S., Wesley M. Garrett, Gary L. Bennett, et al.. (2000). Mapping of seven bovine cytokine genes involved in T‐lymphocyte growth, differentiation and immune response. Animal Genetics. 31(6). 406–408. 7 indexed citations
8.
Casas, Eduardo, Todd K. Shackelford, J. W. Keele, et al.. (2000). Quantitative trait loci affecting growth and carcass composition of cattle segregating alternate forms of myostatin.. Journal of Animal Science. 78(3). 560–560. 215 indexed citations
9.
Keele, J. W., Todd K. Shackelford, S M Kappes, M. Koohmaraie, & R. T. Stone. (1999). A region on bovine chromosome 15 influences beef longissimus tenderness in steers.. Journal of Animal Science. 77(6). 1364–1364. 46 indexed citations
10.
Stone, R. T., J. W. Keele, Todd K. Shackelford, S M Kappes, & M. Koohmaraie. (1999). A primary screen of the bovine genome for quantitative trait loci affecting carcass and growth traits.. Journal of Animal Science. 77(6). 1379–1379. 118 indexed citations
11.
Kappes, S M, H. C. Hines, M. C. T. Penedo, & J. W. Keele. (1999). Linkage assignment of the last unmapped cattle erythrocyte antigen system, EAF. Animal Genetics. 30(5). 396–396. 1 indexed citations
12.
Grosz, M. D., Sabina Solinas‐Toldo, R. T. Stone, et al.. (1997). Chromosomal localization of six bovine microsatellite markers. Animal Genetics. 28(1). 39–40. 9 indexed citations
13.
Kappes, S M, J. W. Keele, R. T. Stone, et al.. (1997). A second-generation linkage map of the bovine genome.. Genome Research. 7(3). 235–249. 445 indexed citations
14.
Lord, E.A., Joanne M. Lumsden, K. G. Dodds, et al.. (1996). The linkage map of sheep Chromosome 6 compared with orthologous regions in other species. Mammalian Genome. 7(5). 373–376. 22 indexed citations
15.
Stone, R. T., S M Kappes, & Craig W. Beattie. (1996). The bovine homolog of the obese gene maps to Chromosome 4. Mammalian Genome. 7(5). 399–400. 54 indexed citations
16.
Stone, R. T., S M Kappes, & Craig W. Beattie. (1996). Five polymorphic trinucleotide (CCA) bovine microsatellites. Animal Genetics. 27(3). 216–216. 8 indexed citations
17.
Pratt, Scott L., S M Kappes, & Russell V. Anthony. (1995). Ontogeny of a specific high-affinity binding site for ovine placental lactogen in fetal and postnatal liver. Domestic Animal Endocrinology. 12(4). 337–347. 7 indexed citations
19.
Bishop, M. D., S M Kappes, J. W. Keele, et al.. (1994). A genetic linkage map for cattle.. Genetics. 136(2). 619–639. 757 indexed citations breakdown →
20.
Bishop, M. D., M. Koohmaraie, J. Killefer, & S M Kappes. (1993). Rapid communication: restriction fragment length polymorphisms in the bovine calpastatin gene1. Journal of Animal Science. 71(8). 2277–2277. 32 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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