Peggy Knowles

1.2k total citations
34 papers, 994 citations indexed

About

Peggy Knowles is a scholar working on Nature and Landscape Conservation, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Peggy Knowles has authored 34 papers receiving a total of 994 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Nature and Landscape Conservation, 15 papers in Genetics and 11 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Peggy Knowles's work include Genetic diversity and population structure (15 papers), Forest ecology and management (14 papers) and Plant and animal studies (8 papers). Peggy Knowles is often cited by papers focused on Genetic diversity and population structure (15 papers), Forest ecology and management (14 papers) and Plant and animal studies (8 papers). Peggy Knowles collaborates with scholars based in Canada and United States. Peggy Knowles's co-authors include Daniel J. Perry, Michael C. Grant, Glenn R. Furnier, Bruce P. Dancik, Ulrich Hermann, Simaan AbouRizk, Merlise A. Clyde, J. B. Mitton, W. M. Cheliak and R. E. Farmer and has published in prestigious journals such as Ecology, Evolution and Journal of Ecology.

In The Last Decade

Peggy Knowles

34 papers receiving 809 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peggy Knowles Canada 20 473 444 309 289 211 34 994
W. J. Libby United States 22 543 1.1× 278 0.6× 272 0.9× 493 1.7× 238 1.1× 54 1.2k
M. I. H. Brooker Australia 14 441 0.9× 153 0.3× 492 1.6× 437 1.5× 191 0.9× 48 1.2k
D. P. Fowler Canada 16 358 0.8× 222 0.5× 267 0.9× 301 1.0× 108 0.5× 47 761
T. J. Mullin Sweden 17 513 1.1× 257 0.6× 169 0.5× 403 1.4× 120 0.6× 47 1.0k
Gerrit Van Wyk South Africa 8 576 1.2× 158 0.4× 260 0.8× 487 1.7× 133 0.6× 22 1.2k
Frank C. Sorensen United States 19 571 1.2× 244 0.5× 322 1.0× 344 1.2× 239 1.1× 40 990
A. C. Matheson Australia 24 630 1.3× 273 0.6× 165 0.5× 432 1.5× 139 0.7× 58 1.3k
W. S. Dvorak United States 19 478 1.0× 127 0.3× 105 0.3× 315 1.1× 269 1.3× 57 970
A. R. Griffin Australia 20 474 1.0× 362 0.8× 516 1.7× 553 1.9× 195 0.9× 36 1.3k
João Costa e Silva Australia 19 667 1.4× 393 0.9× 181 0.6× 422 1.5× 113 0.5× 39 1.1k

Countries citing papers authored by Peggy Knowles

Since Specialization
Citations

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

Fields of papers citing papers by Peggy Knowles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peggy Knowles

This figure shows the co-authorship network connecting the top 25 collaborators of Peggy Knowles. A scholar is included among the top collaborators of Peggy Knowles 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 Peggy Knowles. Peggy Knowles 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.
Knowles, Peggy, et al.. (1992). Pollen pool heterogeneity in jack pine (Pinus banksiana Lamb.): a problem for estimating outcrossing rates?. Theoretical and Applied Genetics. 83(4). 500–508. 7 indexed citations
2.
Knowles, Peggy, et al.. (1992). Spatial Genetic Structure in Two Tamarack [Larix laricina (Du ROI) K. Koch] Populations with Differing Establishment Histories. Evolution. 46(2). 572–572. 20 indexed citations
3.
Knowles, Peggy, et al.. (1992). Male fertility variation in an open-pollinated plantation of Norway spruce (Piceaabies). Canadian Journal of Forest Research. 22(10). 1463–1468. 16 indexed citations
4.
Knowles, Peggy, et al.. (1992). Associations between allozyme phenotypes and soil nutrients in a natural population of jack pines (Pinus banksiana). Biochemical Systematics and Ecology. 20(2). 179–185. 10 indexed citations
5.
Knowles, Peggy, et al.. (1992). Ecological-genetic investigations in environmentally stressed mature sugar maple (Acer saccharum marsh.) populations. Water Air & Soil Pollution. 62(3-4). 261–268. 1 indexed citations
6.
Knowles, Peggy. (1991). Spatial genetic structure within two natural stands of black spruce (Picea mariana (Mill.) B.S.P.). Silvae genetica. 40(1). 13–19. 58 indexed citations
7.
Liu, Zhaowei & Peggy Knowles. (1991). Patterns of allozyme variation in tamarack (Larix laricina) from northern Ontario. Canadian Journal of Botany. 69(11). 2468–2474. 9 indexed citations
8.
Perry, Daniel J., Peggy Knowles, & Francis C. Yeh. (1990). Allozyme variation of Thuja occidentalis L. in Northwestern Ontario. Biochemical Systematics and Ecology. 18(2-3). 111–115. 13 indexed citations
9.
Perry, Daniel J. & Peggy Knowles. (1990). Evidence of high self-fertilization in natural populations of eastern white cedar (Thuja occidentalis). Canadian Journal of Botany. 68(3). 663–668. 48 indexed citations
10.
Perry, Daniel J. & Peggy Knowles. (1989). Allozyme variation in sugar maple at the northern limit of its range in Ontario, Canada. Canadian Journal of Forest Research. 19(4). 509–514. 26 indexed citations
11.
Knowles, Peggy, et al.. (1988). Age structure analysis of a virgin White Pine, Pinus strobus, population. The Canadian Field-Naturalist. 102(2). 221–226. 19 indexed citations
12.
Dickinson, Timothy A., Peggy Knowles, & William H. Parker. (1988). Data Set Congruence in Northern Ontario Tamarack (Larix laricina, Pinaceae). Systematic Botany. 13(3). 442–442. 8 indexed citations
13.
Knowles, Peggy, et al.. (1987). The mating system in a black spruce clonal seed orchard. Canadian Journal of Forest Research. 17(5). 379–382. 19 indexed citations
14.
Knowles, Peggy, et al.. (1987). Significant levels of self-fertilization in natural populations of tamarack. Canadian Journal of Botany. 65(6). 1087–1091. 51 indexed citations
15.
Furnier, Glenn R., et al.. (1986). Inheritance and linkage of allozymes in seed tissue of whitebark pine. Canadian Journal of Genetics and Cytology. 28(4). 601–604. 20 indexed citations
16.
Knowles, Peggy. (1985). Comparison of isozyme variation among natural stands and plantations: jack pine and black spruce. Canadian Journal of Forest Research. 15(5). 902–908. 33 indexed citations
17.
Knowles, Peggy & Michael C. Grant. (1983). Age and Size Structure Analyses of Engelmann Spruce, Ponderosa Pine, Lodgepole Pine, and Limber Pine in Colorado. Ecology. 64(1). 1–9. 88 indexed citations
18.
Parker, William H., et al.. (1983). Habitat-dependent morphological and chemical variation in Picea mariana from northwestern Ontario. Canadian Journal of Botany. 61(6). 1573–1579. 12 indexed citations
19.
Knowles, Peggy, et al.. (1981). Associations between heterozygosity and growth rate variables in three western forest trees. 48. 27–34. 26 indexed citations
20.
Knowles, Peggy & J. B. Mitton. (1980). Genetic heterozygosity and radial growth variability in Pinus contorta.. Silvae genetica. 29. 114–118. 29 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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