Stephen M. Stack

3.8k total citations
71 papers, 2.8k citations indexed

About

Stephen M. Stack is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Stephen M. Stack has authored 71 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Plant Science, 36 papers in Molecular Biology and 16 papers in Genetics. Recurrent topics in Stephen M. Stack's work include Chromosomal and Genetic Variations (42 papers), Plant Reproductive Biology (16 papers) and Plant Genetic and Mutation Studies (14 papers). Stephen M. Stack is often cited by papers focused on Chromosomal and Genetic Variations (42 papers), Plant Reproductive Biology (16 papers) and Plant Genetic and Mutation Studies (14 papers). Stephen M. Stack collaborates with scholars based in United States, United Kingdom and Spain. Stephen M. Stack's co-authors include Lorinda K. Anderson, Jamie Sherman, Daniel G. Peterson, Walter V. Brown, L.K. Anderson, Christopher R. Clarke, Lisa A. Herickhoff, Nora L. V. Lapitan, David E. Comings and David B. Brown and has published in prestigious journals such as Nature, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Stephen M. Stack

71 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen M. Stack United States 35 2.2k 1.7k 652 258 212 71 2.8k
Brian P. Dilkes United States 35 3.5k 1.6× 2.4k 1.4× 714 1.1× 303 1.2× 129 0.6× 87 4.2k
Asako Kamiya Japan 15 3.2k 1.4× 2.3k 1.4× 186 0.3× 164 0.6× 111 0.5× 20 3.8k
E. Firoozabady United States 15 1.9k 0.9× 1.6k 1.0× 198 0.3× 390 1.5× 133 0.6× 22 2.4k
Georg Haberer Germany 30 2.5k 1.1× 1.7k 1.0× 561 0.9× 221 0.9× 63 0.3× 50 3.0k
Robert VanBuren United States 27 1.7k 0.7× 1.2k 0.7× 393 0.6× 393 1.5× 120 0.6× 57 2.2k
Maiko Nakajima Japan 11 2.5k 1.1× 1.7k 1.0× 260 0.4× 86 0.3× 76 0.4× 15 3.1k
Roger T. Chetelat United States 30 2.5k 1.1× 1.6k 0.9× 373 0.6× 491 1.9× 130 0.6× 57 2.9k
Karen M. Léon‐Kloosterziel Netherlands 21 3.0k 1.3× 1.8k 1.0× 170 0.3× 107 0.4× 92 0.4× 29 3.6k
Cheng Zou China 28 2.6k 1.2× 1.5k 0.9× 812 1.2× 110 0.4× 125 0.6× 70 3.4k
Nathalie González Belgium 37 3.6k 1.6× 2.7k 1.6× 285 0.4× 129 0.5× 116 0.5× 66 4.1k

Countries citing papers authored by Stephen M. Stack

Since Specialization
Citations

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

Fields of papers citing papers by Stephen M. Stack

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen M. Stack

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen M. Stack. A scholar is included among the top collaborators of Stephen M. Stack 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 Stephen M. Stack. Stephen M. Stack 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.
Royer, Suzanne M., Amanda K. Broz, Paul A. Covey, et al.. (2016). Interspecific reproductive barriers between sympatric populations of wild tomato species (Solanum section Lycopersicon). American Journal of Botany. 103(11). 1964–1978. 30 indexed citations
2.
Anderson, Lorinda K. & Stephen M. Stack. (2013). Preparing SC Spreads with RNs for EM Analysis. Methods in molecular biology. 990. 147–158. 3 indexed citations
3.
Bedinger, Patricia A., Roger T. Chetelat, Bruce McClure, et al.. (2010). Interspecific reproductive barriers in the tomato clade: opportunities to decipher mechanisms of reproductive isolation. Sexual Plant Reproduction. 24(3). 171–187. 106 indexed citations
4.
Stack, Stephen M., Suzanne M. Royer, L.A. Shearer, et al.. (2009). Role of Fluorescence in situ Hybridization in Sequencing the Tomato Genome. Cytogenetic and Genome Research. 124(3-4). 339–350. 27 indexed citations
5.
Stack, Stephen M. & Lorinda K. Anderson. (2009). Electron Microscopic Immunogold Localization of Recombination-Related Proteins in Spreads of Synaptonemal Complexes From Tomato Microsporocytes. Methods in molecular biology. 558. 147–169. 12 indexed citations
6.
Thuillet, Anne‐Céline, Maud I. Tenaillon, L.K. Anderson, et al.. (2007). A Weak Effect of Background Selection on Trinucleotide Microsatellites in Maize. Journal of Heredity. 99(1). 45–55. 5 indexed citations
7.
Anderson, L.K. & Stephen M. Stack. (2005). Recombination nodules in plants. Cytogenetic and Genome Research. 109(1-3). 198–204. 58 indexed citations
8.
Anderson, Lorinda K., et al.. (2005). Uneven distribution of expressed sequence tag loci on maize pachytene chromosomes. Genome Research. 16(1). 115–122. 46 indexed citations
9.
Stack, Stephen M. & Lorinda K. Anderson. (2002). Crossing over as assessed by late recombination nodules is related to the pattern of synapsis and the distribution of early recombination nodules in maize. Chromosome Research. 10(4). 329–345. 25 indexed citations
10.
Stack, Stephen M. & Lorinda K. Anderson. (2001). A model for chromosome structure during the mitotic and meiotic cell cycles. Chromosome Research. 9(3). 175–198. 58 indexed citations
11.
Hauber, Donald P., Aaron Reeves, & Stephen M. Stack. (1999). Synapsis in a natural autotetraploid. Genome. 42(5). 936–949. 10 indexed citations
12.
Peterson, Daniel G., William R. Pearson, & Stephen M. Stack. (1998). Characterization of the tomato (<i>Lycopersicon esculentum</i>) genome using in vitro and in situ DNA reassociation. Genome. 41(3). 346–356. 5 indexed citations
13.
14.
Peterson, Daniel G., et al.. (1994). The relationship between synaptonemal complex length and genome size in four vertebrate classes (Osteicthyes, Reptilia, Aves, Mammalia). Chromosome Research. 2(2). 153–162. 43 indexed citations
15.
Herickhoff, Lisa A., Stephen M. Stack, & Jamie Sherman. (1993). The relationship between synapsis, recombination nodules and chiasmata in tomato translocation heterozygotes. Heredity. 71(4). 373–385. 32 indexed citations
16.
Stack, Stephen M., Lisa A. Herickhoff, Jamie Sherman, & Lorinda K. Anderson. (1991). Staining Plant Cells with Silver. I. The Salt-Nylon Technique. Biotechnic & Histochemistry. 66(2). 69–78. 35 indexed citations
17.
Sherman, Jamie, Stephen M. Stack, & Lorinda K. Anderson. (1989). Two-dimensional spreads of synaptonemal complexes from solanaceous plants. IV. Synaptic irregularities. Genome. 32(5). 743–753. 23 indexed citations
18.
Stack, Stephen M.. (1985). Mechanisms of morphological evolution. A combined genetic development and ecological approach. The American Journal of Human Genetics. 37(6). 1236–1236. 2 indexed citations
19.
Anderson, L.H., Stephen M. Stack, Marye Anne Fox, & Chuanshan Zhang. (1985). The relationship between genome size and synaptonemal complex length in higher plants. Experimental Cell Research. 156(2). 367–378. 60 indexed citations
20.
Stack, Stephen M., et al.. (1975). HETEROCHROMATIC CONNECTIVES BETWEEN THE CHROMOSOMES OFSECALE CEREALE. Canadian Journal of Genetics and Cytology. 17(2). 269–273. 22 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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