Carol A. Loopstra

2.2k total citations
28 papers, 815 citations indexed

About

Carol A. Loopstra is a scholar working on Molecular Biology, Plant Science and Nature and Landscape Conservation. According to data from OpenAlex, Carol A. Loopstra has authored 28 papers receiving a total of 815 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 15 papers in Plant Science and 8 papers in Nature and Landscape Conservation. Recurrent topics in Carol A. Loopstra's work include Forest ecology and management (8 papers), Plant Reproductive Biology (7 papers) and Plant Gene Expression Analysis (6 papers). Carol A. Loopstra is often cited by papers focused on Forest ecology and management (8 papers), Plant Reproductive Biology (7 papers) and Plant Gene Expression Analysis (6 papers). Carol A. Loopstra collaborates with scholars based in United States, Germany and Russia. Carol A. Loopstra's co-authors include Ronald R. Sederoff, Eun‐Gyu No, David B. Neale, Konstantin V. Krutovsky, Mengmeng Lu, Jill Wegrzyn, Anne-Marie Stomp, Shih‐Hung Yang, John N. Alden and Charles H. Langley and has published in prestigious journals such as PLANT PHYSIOLOGY, Genetics and Planta.

In The Last Decade

Carol A. Loopstra

28 papers receiving 774 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carol A. Loopstra United States 18 478 460 201 144 78 28 815
Nathalie Pavy Canada 19 767 1.6× 595 1.3× 373 1.9× 166 1.2× 69 0.9× 24 1.2k
Sébastien Caron Canada 13 517 1.1× 428 0.9× 131 0.7× 92 0.6× 63 0.8× 25 778
Daniel Verhaegen France 17 519 1.1× 526 1.1× 341 1.7× 172 1.2× 64 0.8× 32 1.0k
Christopher Dervinis United States 23 628 1.3× 989 2.1× 208 1.0× 73 0.5× 55 0.7× 36 1.4k
Gavin F. Moran Australia 12 347 0.7× 380 0.8× 189 0.9× 146 1.0× 71 0.9× 15 720
B. Ivens Belgium 7 293 0.6× 309 0.7× 208 1.0× 54 0.4× 29 0.4× 11 660
Max G. Schubert United States 10 539 1.1× 303 0.7× 126 0.6× 95 0.7× 115 1.5× 14 892
Orzenil B. Silva‐Junior Brazil 22 408 0.9× 808 1.8× 558 2.8× 249 1.7× 96 1.2× 39 1.4k
Dulcinéia de Carvalho Brazil 17 206 0.4× 446 1.0× 295 1.5× 133 0.9× 74 0.9× 78 819
David Macaya‐Sanz United States 16 235 0.5× 334 0.7× 282 1.4× 65 0.5× 71 0.9× 31 701

Countries citing papers authored by Carol A. Loopstra

Since Specialization
Citations

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

Fields of papers citing papers by Carol A. Loopstra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carol A. Loopstra

This figure shows the co-authorship network connecting the top 25 collaborators of Carol A. Loopstra. A scholar is included among the top collaborators of Carol A. Loopstra 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 Carol A. Loopstra. Carol A. Loopstra 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.
Li, Jingjia, Jason B. West, Jill Wegrzyn, et al.. (2021). Extensive Variation in Drought-Induced Gene Expression Changes Between Loblolly Pine Genotypes. Frontiers in Genetics. 12. 661440–661440. 5 indexed citations
2.
Lu, Mengmeng, Carol A. Loopstra, & Konstantin V. Krutovsky. (2019). Detecting the genetic basis of local adaptation in loblolly pine (Pinus taedaL.) using whole exome‐wide genotyping and an integrative landscape genomics analysis approach. Ecology and Evolution. 9(12). 6798–6809. 17 indexed citations
3.
4.
Lu, Mengmeng, et al.. (2017). Association genetics of growth and adaptive traits in loblolly pine (Pinus taeda L.) using whole-exome-discovered polymorphisms. Tree Genetics & Genomes. 13(3). 26 indexed citations
5.
Wegrzyn, Jill, Claire S. Kinlaw, David E. Harry, et al.. (2016). Transcriptomic profile of leaf tissue from the leguminous tree, Millettia pinnata. Tree Genetics & Genomes. 12(3). 11 indexed citations
6.
Lu, Mengmeng, Konstantin V. Krutovsky, C. Dana Nelson, et al.. (2016). Exome genotyping, linkage disequilibrium and population structure in loblolly pine (Pinus taeda L.). BMC Genomics. 17(1). 730–730. 44 indexed citations
7.
Eckert, Andrew J., Jill Wegrzyn, John D Liechty, et al.. (2013). The Evolutionary Genetics of the Genes Underlying Phenotypic Associations for Loblolly Pine (Pinus taeda, Pinaceae). Genetics. 195(4). 1353–1372. 35 indexed citations
8.
Eckert, Andrew J., et al.. (2013). Association of loblolly pine xylem development gene expression with single-nucleotide polymorphisms. Tree Physiology. 33(7). 763–774. 14 indexed citations
9.
Loopstra, Carol A., et al.. (2006). MICROSATELLITE MARKERS FOR VERIFYING PARENTAGE OF PECANS. HortScience. 41(3). 515B–515. 3 indexed citations
10.
Yang, Shih‐Hung & Carol A. Loopstra. (2005). Seasonal variation in gene expression for loblolly pines (Pinus taeda) from different geographical regions. Tree Physiology. 25(8). 1063–1073. 30 indexed citations
11.
Zyl, Leonel van, et al.. (2004). Microarray analysis of genes preferentially expressed in differentiating xylem of loblolly pine (Pinus taeda). Plant Science. 166(5). 1185–1195. 31 indexed citations
12.
Zhang, Yi, Garth Brown, Ross Whetten, et al.. (2003). An arabinogalactan protein associated with secondary cell wall formation in differentiating xylem of loblolly pine. Plant Molecular Biology. 52(1). 91–102. 68 indexed citations
13.
Loopstra, Carol A., Jeffrey D. Puryear, & Eun‐Gyu No. (2000). Purification and cloning of an arabinogalactan-protein from xylem of loblolly pine. Planta. 210(4). 686–689. 37 indexed citations
14.
No, Eun‐Gyu & Carol A. Loopstra. (2000). Hormonal and developmental regulation of two arabinogalactan‐proteins in xylem of loblolly pine (Pinus taeda). Physiologia Plantarum. 110(4). 524–529. 10 indexed citations
15.
No, Eun‐Gyu, et al.. (2000). Sequences upstream and downstream of two xylem-specific pine genes influence their expression. Plant Science. 160(1). 77–86. 9 indexed citations
16.
Loopstra, Carol A., et al.. (1998). Two Pine Endo-β-1,4-Glucanases Are Associated with Rapidly Growing Reproductive Structures. PLANT PHYSIOLOGY. 116(3). 959–967. 21 indexed citations
17.
Loopstra, Carol A. & Ronald R. Sederoff. (1995). Xylem-specific gene expression in loblolly pine. Plant Molecular Biology. 27(2). 277–291. 56 indexed citations
18.
Stomp, Anne-Marie, Carol A. Loopstra, William Scott Chilton, Ronald R. Sederoff, & Linda W. Moore. (1990). Extended Host Range of Agrobacterium tumefaciens in the Genus Pinus. PLANT PHYSIOLOGY. 92(4). 1226–1232. 45 indexed citations
19.
Loopstra, Carol A., Anne-Marie Stomp, & Ronald R. Sederoff. (1990). Agrobacterium-mediated DNA transfer in sugar pine. Plant Molecular Biology. 15(1). 1–9. 38 indexed citations
20.
Alden, John N. & Carol A. Loopstra. (1987). Genetic diversity and population structure of Piceaglauca on an altitudinal gradient in interior Alaska. Canadian Journal of Forest Research. 17(12). 1519–1526. 38 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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