Ross Whetten

7.9k total citations · 1 hit paper
77 papers, 5.6k citations indexed

About

Ross Whetten is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Ross Whetten has authored 77 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 41 papers in Plant Science and 23 papers in Genetics. Recurrent topics in Ross Whetten's work include Plant Gene Expression Analysis (20 papers), Forest ecology and management (17 papers) and Genetic diversity and population structure (15 papers). Ross Whetten is often cited by papers focused on Plant Gene Expression Analysis (20 papers), Forest ecology and management (17 papers) and Genetic diversity and population structure (15 papers). Ross Whetten collaborates with scholars based in United States, Canada and United Kingdom. Ross Whetten's co-authors include Ronald R. Sederoff, David M. O’Malley, John Mackay, Ron Sederoff, Malcolm M. Campbell, Santiago C. González‐Martínez, Sally N. Aitken, Ricardo Alı́a, Antoine Kremer and Outi Savolainen and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Statistical Association.

In The Last Decade

Ross Whetten

77 papers receiving 5.3k citations

Hit Papers

Potential for evolutionary responses to climate change – ... 2013 2026 2017 2021 2013 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
Ross Whetten United States 35 3.1k 3.0k 911 874 764 77 5.6k
John Mackay Canada 40 2.5k 0.8× 2.9k 1.0× 972 1.1× 810 0.9× 932 1.2× 143 5.3k
Carl J. Douglas Canada 63 5.9k 1.9× 7.0k 2.4× 951 1.0× 1.1k 1.3× 376 0.5× 118 10.1k
Antje Rohde Belgium 25 3.6k 1.2× 3.0k 1.0× 522 0.6× 356 0.4× 283 0.4× 40 4.9k
Matias Kirst United States 41 3.5k 1.1× 2.2k 0.7× 460 0.5× 1.9k 2.1× 664 0.9× 102 5.9k
Wellington Muchero United States 38 2.6k 0.8× 1.6k 0.6× 1.1k 1.2× 484 0.6× 170 0.2× 114 4.4k
Alexander A. Myburg South Africa 39 2.8k 0.9× 2.2k 0.7× 387 0.4× 934 1.1× 314 0.4× 132 4.4k
Jacqueline Grima‐Pettenati France 42 3.2k 1.0× 4.3k 1.5× 1.6k 1.7× 282 0.3× 143 0.2× 98 5.6k
Véronique Storme Belgium 29 2.1k 0.7× 1.9k 0.6× 542 0.6× 447 0.5× 163 0.2× 49 3.4k
Karen E. Koch United States 42 6.6k 2.1× 2.4k 0.8× 364 0.4× 319 0.4× 133 0.2× 94 7.4k
John P. Vogel United States 45 6.6k 2.1× 3.0k 1.0× 493 0.5× 554 0.6× 84 0.1× 116 7.8k

Countries citing papers authored by Ross Whetten

Since Specialization
Citations

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

Fields of papers citing papers by Ross Whetten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ross Whetten

This figure shows the co-authorship network connecting the top 25 collaborators of Ross Whetten. A scholar is included among the top collaborators of Ross Whetten 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 Ross Whetten. Ross Whetten 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.
Whetten, Ross, et al.. (2024). Genomic predictions and candidate single nucleotide polymorphisms for growth, form, and wood properties of teak clones. Silvae genetica. 73(1). 13–23. 1 indexed citations
2.
Ristaino, Jean B., et al.. (2024). Metagenomic study reveals hidden relationships among fungal diversity, variation of plant disease, and genetic distance in Cornus florida (Cornaceae). Frontiers in Plant Science. 14. 1282188–1282188. 3 indexed citations
3.
Kim, Saet‐Byul, Stefanie Lück, Dimitar Douchkov, et al.. (2023). Two pathogen loci determine Blumeria graminis f. sp. tritici virulence to wheat resistance gene Pm1a. New Phytologist. 238(4). 1546–1561. 12 indexed citations
4.
Whetten, Ross, et al.. (2023). Microbiome and plant cell transformation trigger insect gall induction in cassava. Frontiers in Plant Science. 14. 1237966–1237966. 4 indexed citations
5.
Whetten, Ross, et al.. (2023). Genomic Tools in Applied Tree Breeding Programs: Factors to Consider. Forests. 14(2). 169–169. 5 indexed citations
6.
Işik, Fikret, et al.. (2021). Provenance and Family Variation in Biomass Potential of Loblolly Pine in the Piedmont of North Carolina. Forest Science. 67(3). 312–320. 2 indexed citations
7.
Matallana-Ramirez, Lilian P., et al.. (2021). Breeding for Climate Change Resilience: A Case Study of Loblolly Pine (Pinus taeda L.) in North America. Frontiers in Plant Science. 12. 606908–606908. 25 indexed citations
8.
Gezan, Salvador A., et al.. (2020). Correspondence between Breeding Values of the Same Pinus taeda L. Genotypes from Clonal Trials and Half-Sib Seedling Progeny Trials. Forest Science. 66(5). 600–611. 10 indexed citations
9.
Alberto, Florian, Sally N. Aitken, Ricardo Alı́a, et al.. (2013). Potential for evolutionary responses to climate change – evidence from tree populations. Global Change Biology. 19(6). 1645–1661. 687 indexed citations breakdown →
10.
Cumbie, W. Patrick, Andrew J. Eckert, Jill Wegrzyn, et al.. (2011). Association genetics of carbon isotope discrimination, height and foliar nitrogen in a natural population of Pinus taeda L. Heredity. 107(2). 105–114. 59 indexed citations
11.
Sato, Yasushi & Ross Whetten. (2006). Characterization of two laccases of loblolly pine (Pinus taeda) expressed in tobacco BY-2 cells. Journal of Plant Research. 119(6). 581–588. 15 indexed citations
12.
Kirst, Matias, et al.. (2003). Apparent homology of expressed genes from wood-forming tissues of loblolly pine ( Pinus taeda L.) with Arabidopsis thaliana. Proceedings of the National Academy of Sciences. 100(12). 7383–7388. 138 indexed citations
13.
Goldfarb, Barry, et al.. (2003). Aux/IAA gene family is conserved in the gymnosperm, loblolly pine (Pinus taeda). Tree Physiology. 23(17). 1181–1192. 26 indexed citations
14.
McInnis, Stephanie, Lisa J. Newman, Caroline Smith, et al.. (2003). Characterisation of a pine MYB that regulates lignification. The Plant Journal. 36(6). 743–754. 266 indexed citations
15.
Heath, Lenwood S., Naren Ramakrishnan, Ronald R. Sederoff, et al.. (2002). Studying the functional genomics of stress responses in loblolly pine with the Expresso microarray experiment management system. Comparative and Functional Genomics. 3(3). 226–243. 37 indexed citations
16.
17.
Tang, Wei, et al.. (2001). Genotypic control of high-frequency adventitious shoot regeneration via somatic organogenesis in loblolly pine. Plant Science. 161(2). 267–272. 13 indexed citations
18.
Remington, David L., et al.. (1999). Construction of an AFLP genetic map with nearly complete genome coverage in Pinus taeda. Theoretical and Applied Genetics. 98(8). 1279–1292. 170 indexed citations
19.
Wenck, Allan, et al.. (1999). High-efficiency Agrobacterium-mediated transformation of Norway spruce (Picea abies) and loblolly pine (Pinus taeda). Plant Molecular Biology. 39(3). 407–416. 113 indexed citations
20.
Whetten, Ross & Ronald R. Sederoff. (1991). Genetic engineering of wood. Forest Ecology and Management. 43(3-4). 301–316. 48 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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