Steve Rounsley

4.8k total citations
13 papers, 400 citations indexed

About

Steve Rounsley is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Steve Rounsley has authored 13 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 8 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Steve Rounsley's work include Chromosomal and Genetic Variations (8 papers), Genomics and Phylogenetic Studies (7 papers) and Genetic Mapping and Diversity in Plants and Animals (5 papers). Steve Rounsley is often cited by papers focused on Chromosomal and Genetic Variations (8 papers), Genomics and Phylogenetic Studies (7 papers) and Genetic Mapping and Diversity in Plants and Animals (5 papers). Steve Rounsley collaborates with scholars based in United States, Singapore and Canada. Steve Rounsley's co-authors include Rod A. Wing, Michael D. Purugganan, Victor A. Albert, Scott A. Jackson, Joachim Messing, Heidrun Gundlach, Christina Raymond, Chad Nusbaum, Sarah Young and Bruce W. Birren and has published in prestigious journals such as Science, PLoS ONE and The Plant Cell.

In The Last Decade

Steve Rounsley

13 papers receiving 388 citations

Peers

Steve Rounsley

PS

MB

GENET

ECOLO

EEBS

Yann Hueber France

Vincent Jouffe France

M. de la Bastide United States

Junjian Ni United States

Marina Wissotski United States

Lise Pingault United States

Likun Long China

U. Hohmann Germany

Stine Tuvesson Sweden

Ed Butler United States

Yann Hueber France

Steve Rounsley

276 ×0.9

PS

156 ×0.6

MB

81 ×0.7

GENET

10 ×0.7

ECOLO

22 ×1.6

EEBS

Citations per year, relative to Steve Rounsley Steve Rounsley (= 1×) peers Yann Hueber

Countries citing papers authored by Steve Rounsley

Since Specialization

Citations

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

Fields of papers citing papers by Steve Rounsley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steve Rounsley. 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 Steve Rounsley. The network helps show where Steve Rounsley may publish in the future.

Co-authorship network of co-authors of Steve Rounsley

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

All Works

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13 of 13 papers shown

1.

Guttikonda, Satish K., Pradeep Reddy Marri, Jafar Mammadov, et al.. (2016). Molecular Characterization of Transgenic Events Using Next Generation Sequencing Approach. PLoS ONE. 11(2). e0149515–e0149515. 46 indexed citations

2.

Chamala, Srikar, André S. Chanderbali, Joshua P. Der, et al.. (2013). Assembly and Validation of the Genome of the Nonmodel Basal Angiosperm Amborella. Science. 342(6165). 1516–1517. 66 indexed citations

3.

Muñoz, Adriana, Chunfang Zheng, Qian Zhu, et al.. (2010). Scaffold filling, contig fusion and comparative gene order inference. BMC Bioinformatics. 11(1). 304–304. 33 indexed citations

4.

Albert, Victor A., Alan Carvalho Andrade, Giovanni Giuliano, et al.. (2010). Progress on the preliminary sequence of the Coffea canephora genome. ePublications@SCU (Southern Cross University). 1 indexed citations

5.

Zuccolo, Andrea, Aswathy Sebastian, Yeisoo Yu, et al.. (2010). Assessing the Extent of Substitution Rate Variation of Retrotransposon Long Terminal Repeat Sequences in Oryza sativa and Oryza glaberrima. Rice. 3(4). 242–250. 4 indexed citations

6.

Goicoechea, José Luis, Jetty S. S. Ammiraju, Pradeep Reddy Marri, et al.. (2010). The Future of Rice Genomics: Sequencing the Collective Oryza Genome. Rice. 3(2-3). 89–97. 11 indexed citations

7.

Rounsley, Steve, Pradeep Reddy Marri, Yeisoo Yu, et al.. (2009). De Novo Next Generation Sequencing of Plant Genomes. Rice. 2(1). 35–43. 45 indexed citations

8.

Wing, Rod A., Hye‐Ran Kim, Yeisoo Yu, et al.. (2008). The Oryza Map Alignment Project. 161–161. 2 indexed citations

9.

Fan, Chuanzhu, Yong Zhang, Yeisoo Yu, et al.. (2008). The Subtelomere of Oryza sativa Chromosome 3 Short Arm as a Hot Bed of New Gene Origination in Rice. Molecular Plant. 1(5). 839–850. 27 indexed citations

10.

Jackson, Scott A., Steve Rounsley, & Michael D. Purugganan. (2006). Comparative Sequencing of Plant Genomes: Choices to Make. The Plant Cell. 18(5). 1100–1104. 29 indexed citations

11.

Haberer, Georg, Sarah Young, Arvind K. Bharti, et al.. (2005). Structure and Architecture of the Maize Genome. PLANT PHYSIOLOGY. 139(4). 1612–1624. 116 indexed citations

12.

Rounsley, Steve, et al.. (1999). The paradigm shift of genomics — a complement to traditional plant science. Current Opinion in Plant Biology. 2(2). 81–82. 4 indexed citations

13.

Rounsley, Steve, Xiaoying Lin, & Karen A. Ketchum. (1998). Large-scale sequencing of plant genomes. Current Opinion in Plant Biology. 1(2). 136–141. 16 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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