T. D. Byram

715 total citations
20 papers, 561 citations indexed

About

T. D. Byram is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Ecology. According to data from OpenAlex, T. D. Byram has authored 20 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Nature and Landscape Conservation, 7 papers in Global and Planetary Change and 4 papers in Ecology. Recurrent topics in T. D. Byram's work include Forest ecology and management (14 papers), Tree Root and Stability Studies (4 papers) and Forest Insect Ecology and Management (4 papers). T. D. Byram is often cited by papers focused on Forest ecology and management (14 papers), Tree Root and Stability Studies (4 papers) and Forest Insect Ecology and Management (4 papers). T. D. Byram collaborates with scholars based in United States, Russia and Germany. T. D. Byram's co-authors include Steven E. McKeand, T. J. Mullin, Timothy L. White, W. J. Lowe, F. E. Bridgwater, Tomasz E. Koralewski, Dudley A. Huber, Bailian Li, H. Lee Allen and Eric J. Jokela and has published in prestigious journals such as Forest Ecology and Management, Theoretical and Applied Genetics and BMC Genomics.

In The Last Decade

T. D. Byram

18 papers receiving 496 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
T. D. Byram United States	12	365	191	132	100	79	20	561
F. E. Bridgwater United States	14	358 1.0×	128 0.7×	168 1.3×	60 0.6×	68 0.9×	33	513
Arne Steffenrem Norway	14	340 0.9×	177 0.9×	192 1.5×	100 1.0×	95 1.2×	31	606
Alfas Pliūra Lithuania	12	269 0.7×	145 0.8×	217 1.6×	147 1.5×	91 1.2×	34	611
C. G. Tauer United States	17	328 0.9×	228 1.2×	285 2.2×	114 1.1×	59 0.7×	45	699
Matti Haapanen Finland	15	440 1.2×	286 1.5×	247 1.9×	98 1.0×	88 1.1×	44	731
E. K. Morgenstern Canada	12	441 1.2×	184 1.0×	154 1.2×	82 0.8×	110 1.4×	37	653
David Gwaze United States	13	313 0.9×	138 0.7×	136 1.0×	117 1.2×	46 0.6×	51	499
K. J. S. Jayawickrama United States	14	383 1.0×	148 0.8×	133 1.0×	44 0.4×	129 1.6×	36	555
Brian S. Baltunis Australia	15	408 1.1×	87 0.5×	190 1.4×	52 0.5×	130 1.6×	22	594
Lars-Göran Stener Sweden	14	292 0.8×	167 0.9×	129 1.0×	147 1.5×	49 0.6×	27	533

Countries citing papers authored by T. D. Byram

Since Specialization

Citations

This map shows the geographic impact of T. D. Byram'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 T. D. Byram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. D. Byram more than expected).

Fields of papers citing papers by T. D. Byram

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. D. Byram. 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 T. D. Byram. The network helps show where T. D. Byram may publish in the future.

Co-authorship network of co-authors of T. D. Byram

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

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

Koralewski, Tomasz E., Hsiao‐Hsuan Wang, William E. Grant, & T. D. Byram. (2015). Plants on the move: Assisted migration of forest trees in the face of climate change. Forest Ecology and Management. 344. 30–37. 46 indexed citations

Wang, Hsiao‐Hsuan, et al.. (2015). Species Distribution Model for Management of an Invasive Vine in Forestlands of Eastern Texas. Forests. 6(12). 4374–4390. 9 indexed citations

Chhatre, Vikram E., T. D. Byram, David B. Neale, Jill Wegrzyn, & Konstantin V. Krutovsky. (2013). Genetic structure and association mapping of adaptive and selective traits in the east Texas loblolly pine (Pinus taeda L.) breeding populations. Tree Genetics & Genomes. 9(5). 1161–1178. 38 indexed citations

Byram, T. D., et al.. (2009). Fifty-fifth progress report of the Cooperative Forest Tree Improvement Program..

Byram, T. D., et al.. (2007). The potential of acoustics to determine family differences for wood quality in a loblolly pine (Pinus taeda L.) trial. 49–55. 1 indexed citations

McKeand, Steven E., Eric J. Jokela, Dudley A. Huber, et al.. (2006). Performance of improved genotypes of loblolly pine across different soils, climates, and silvicultural inputs. Forest Ecology and Management. 227(1-2). 178–184. 110 indexed citations

Byram, T. D., et al.. (2005). Improving wood quality in the western gulf forest tree improvement program: the problem of multiple breeding objectives. Tree Genetics & Genomes. 1(3). 85–92. 6 indexed citations

Byram, T. D., T. J. Mullin, Timothy L. White, & J. P. van Buijtenen. (2005). The Future of Tree Improvement in the Southeastern United States: Alternative Visions for the Next Decade. Southern Journal of Applied Forestry. 29(2). 88–95. 11 indexed citations

10.

Bridgwater, F. E., et al.. (2004). Genetic Variation in the Microfibril Angle of Loblolly Pine From Two Test Sites. Southern Journal of Applied Forestry. 28(4). 196–204. 21 indexed citations

11.

McKeand, Steven E., T. J. Mullin, T. D. Byram, & Timothy L. White. (2003). Deployment of Genetically Improved Loblolly and Slash Pines in the South. Journal of Forestry. 101(3). 32–37. 153 indexed citations

12.

Gwaze, David, et al.. (2003). An evaluation of height as an early selection criterion for volume and predictor of site index gain in the western gulf. SHAREOK (University of Oklahoma; Oklahoma State University; Central Oklahoma University). 4 indexed citations

13.

Gwaze, David, et al.. (2003). Performance of nuttall oak ( Quercus Texana Buckl.) provenances in the Western Gulf Region. SHAREOK (University of Oklahoma). 3 indexed citations

14.

Williams, Claire G. & T. D. Byram. (2001). Forestry's Third Revolution: Integrating Biotechnology into Pinus taeda L. Breeding Programs. Southern Journal of Applied Forestry. 25(3). 116–121. 5 indexed citations

15.

Gwaze, David, F. E. Bridgwater, T. D. Byram, J.A. Woolliams, & Claire G. Williams. (2000). Predicting age-age genetic correlations in tree-breeding programs: a case study of Pinus taeda L.. Theoretical and Applied Genetics. 100(2). 199–206. 29 indexed citations

16.

Byram, T. D., et al.. (2000). 48th Progress report of the Cooperative Forest Tree Improvement Program.. 7 indexed citations

17.

Lowe, W. J., T. D. Byram, & F. E. Bridgwater. (1999). Selecting Loblolly Pine Parents for Seed Orchards to Minimize the Cost of Producing Pulp. Forest Science. 45(2). 213–216. 18 indexed citations

18.

Bridgwater, F. E., et al.. (1998). Controlled mass pollination in loblolly pine to increase genetic gains. The Forestry Chronicle. 74(2). 185–189. 18 indexed citations

19.

Byram, T. D. & W. J. Lowe. (1988). Specific Gravity Variation in a Loblolly Pine Seed Source Study in the Western Gulf Region. Forest Science. 34(3). 798–803. 15 indexed citations

20.

Byram, T. D., et al.. (1986). Clonal and Annual Variation in Cone Production in Loblolly Pine Seed Orchards. Forest Science. 32(4). 1067–1073. 23 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.

Explore authors with similar magnitude of impact