Pengxin Lu

639 total citations
40 papers, 485 citations indexed

About

Pengxin Lu is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, Pengxin Lu has authored 40 papers receiving a total of 485 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Nature and Landscape Conservation, 20 papers in Global and Planetary Change and 13 papers in Atmospheric Science. Recurrent topics in Pengxin Lu's work include Plant Water Relations and Carbon Dynamics (19 papers), Forest ecology and management (17 papers) and Tree-ring climate responses (13 papers). Pengxin Lu is often cited by papers focused on Plant Water Relations and Carbon Dynamics (19 papers), Forest ecology and management (17 papers) and Tree-ring climate responses (13 papers). Pengxin Lu collaborates with scholars based in Canada, United States and China. Pengxin Lu's co-authors include Rongzhou Man, Qing‐Lai Dang, John Pedlar, Daniel W. McKenney, Dennis G. Joyce, William C. Parker, Steve Colombo, S. J. Colombo, Marilyn L. Cherry and William H. Parker and has published in prestigious journals such as Journal of Ecology, Journal of Applied Ecology and Frontiers in Plant Science.

In The Last Decade

Pengxin Lu

39 papers receiving 469 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pengxin Lu Canada 13 259 249 157 138 99 40 485
Volker Schneck Germany 9 200 0.8× 222 0.9× 159 1.0× 148 1.1× 65 0.7× 28 447
Mirko Liesebach Germany 10 188 0.7× 192 0.8× 131 0.8× 96 0.7× 45 0.5× 36 361
L. I. Milyutin Russia 8 222 0.9× 320 1.3× 184 1.2× 97 0.7× 100 1.0× 23 513
Maksym Netsvetov Ukraine 9 137 0.5× 156 0.6× 93 0.6× 105 0.8× 69 0.7× 26 341
G. von Wuehlisch Germany 9 158 0.6× 192 0.8× 78 0.5× 124 0.9× 61 0.6× 20 354
Seppo Ruotsalainen Finland 12 167 0.6× 269 1.1× 54 0.3× 141 1.0× 81 0.8× 35 432
R. C. Schmidtling United States 9 162 0.6× 217 0.9× 82 0.5× 87 0.6× 57 0.6× 23 334
Katherine A. Preston United States 7 281 1.1× 389 1.6× 124 0.8× 189 1.4× 61 0.6× 7 576
Bratislav Matović Serbia 12 196 0.8× 212 0.9× 158 1.0× 97 0.7× 81 0.8× 33 369
N. A. Kuzminа Russia 4 158 0.6× 222 0.9× 120 0.8× 58 0.4× 86 0.9× 19 364

Countries citing papers authored by Pengxin Lu

Since Specialization
Citations

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

Fields of papers citing papers by Pengxin Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengxin Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Pengxin Lu. A scholar is included among the top collaborators of Pengxin Lu 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 Pengxin Lu. Pengxin Lu 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.
Lu, Pengxin, Jean Beaulieu, John Pedlar, et al.. (2024). Assessing assisted population migration (seed transfer) for eastern white pine at northern planting sites. Forest Ecology and Management. 572. 122309–122309. 2 indexed citations
2.
Lu, Pengxin & Francis C. Yeh. (2024). Seedling Growth Responses to Nutrient and Water Treatments Among Jack Pine Open-Pollinated Families. Forests. 15(12). 2062–2062.
3.
Elliott, Ken A., et al.. (2022). Enhancing forest resilience: Advances in Ontario’s wild tree seed transfer policy. The Forestry Chronicle. 98(1). 44–53. 5 indexed citations
4.
Pedlar, John, Daniel W. McKenney, & Pengxin Lu. (2021). Critical seed transfer distances for selected tree species in eastern North America. Journal of Ecology. 109(6). 2271–2283. 26 indexed citations
5.
McKenney, Daniel W., et al.. (2021). A compilation of North American tree provenance trials and relevant historical climate data for seven species. Scientific Data. 8(1). 29–29. 21 indexed citations
6.
Lu, Pengxin, et al.. (2019). Temperature-induced growing season drought threatens survival and height growth of white spruce in southern Ontario, Canada. Forest Ecology and Management. 448. 355–363. 11 indexed citations
7.
Man, Rongzhou, Pengxin Lu, & Qing‐Lai Dang. (2017). Insufficient Chilling Effects Vary among Boreal Tree Species and Chilling Duration. Frontiers in Plant Science. 8. 1354–1354. 54 indexed citations
8.
Lu, Pengxin, William C. Parker, S. J. Colombo, & Rongzhou Man. (2016). Restructuring tree provenance test data to conform to reciprocal transplant experiments for detecting local adaptation. Journal of Applied Ecology. 53(4). 1088–1097. 15 indexed citations
9.
Weng, Yuhui, Pengxin Lu, Qingfan Meng, & M. J. Krasowski. (2015). Genetic resistance to western gall rust in jack pine and its relationship with tree height growth. Canadian Journal of Forest Research. 45(8). 970–977. 2 indexed citations
10.
Man, Rongzhou, Steve Colombo, Pengxin Lu, & Qing‐Lai Dang. (2015). Effects of winter warming on cold hardiness and spring budbreak of four boreal conifers. Botany. 94(2). 117–126. 16 indexed citations
11.
Lu, Pengxin, William H. Parker, Marilyn L. Cherry, et al.. (2014). Survival and growth patterns of white spruce (Picea glauca [Moench] Voss) rangewide provenances and their implications for climate change adaptation. Ecology and Evolution. 4(12). 2360–2374. 51 indexed citations
12.
Weng, Yuhui, et al.. (2014). Genetic parameters of growth and stem quality traits for jack pine second-generation progeny tested in New Brunswick. Canadian Journal of Forest Research. 45(1). 36–43. 10 indexed citations
13.
Lu, Pengxin, et al.. (2011). Effects of seedling age on blister rust resistance assessments in eastern white pine and its hybrid backcrosses. Canadian Journal of Forest Research. 42(1). 67–74. 3 indexed citations
14.
Lu, Pengxin. (2008). A note on the relationship between estimates of heritability and type-B genetic correlation. Canadian Journal of Forest Research. 38(11). 2917–2921. 2 indexed citations
15.
16.
Lu, Pengxin, et al.. (2006). Survival, growth and wood specific gravity of interspecific hybrids of Pinus strobus and P. wallichiana grown in Ontario. Forest Ecology and Management. 234(1-3). 97–106. 6 indexed citations
17.
Joyce, Dennis G., et al.. (2002). Genetic Variation in Height Growth among Populations of Eastern White Pine (Pinus strobus L.) in Ontario. Silvae genetica. 51(4). 136–142. 11 indexed citations
18.
Lu, Pengxin, et al.. (2002). Geographic variation in cold hardiness among eastern white pine (Pinus strobus L.) provenances in Ontario. Forest Ecology and Management. 178(3). 329–340. 26 indexed citations
19.
Lu, Pengxin, Dudley A. Huber, & Timothy L. White. (2001). Comparison of multivariate and univariate methods for the estimation of type B genetic correlations.. Silvae genetica. 50(1). 13–22. 10 indexed citations
20.
Lu, Pengxin, Timothy L. White, & Dudley A. Huber. (1999). Estimating Type B Genetic Correlations with Unbalanced Data and Heterogeneous Variances for Half-Sib Experiments. Forest Science. 45(4). 562–572. 7 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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