L. Scott-Denton

1.6k total citations
8 papers, 1.3k citations indexed

About

L. Scott-Denton is a scholar working on Global and Planetary Change, Soil Science and Plant Science. According to data from OpenAlex, L. Scott-Denton has authored 8 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Global and Planetary Change, 3 papers in Soil Science and 3 papers in Plant Science. Recurrent topics in L. Scott-Denton's work include Plant Water Relations and Carbon Dynamics (6 papers), Soil Carbon and Nitrogen Dynamics (3 papers) and Climate variability and models (3 papers). L. Scott-Denton is often cited by papers focused on Plant Water Relations and Carbon Dynamics (6 papers), Soil Carbon and Nitrogen Dynamics (3 papers) and Climate variability and models (3 papers). L. Scott-Denton collaborates with scholars based in United States and Canada. L. Scott-Denton's co-authors include Russell K. Monson, Todd N. Rosenstiel, Jed P. Sparks, P. C. Harley, Steven K. Schmidt, Travis E. Huxman, Andrew A. Turnipseed, Kimberlee L. Sparks, Michael Weintraub and Sean P. Burns and has published in prestigious journals such as Global Change Biology, Soil Biology and Biochemistry and Oecologia.

In The Last Decade

L. Scott-Denton

8 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L. Scott-Denton United States 8 739 491 370 356 283 8 1.3k
D. R. LeCain United States 22 791 1.1× 577 1.2× 285 0.8× 393 1.1× 616 2.2× 29 1.4k
Mengben Wang China 17 569 0.8× 286 0.6× 402 1.1× 206 0.6× 241 0.9× 43 1.2k
Bingrui Jia China 15 464 0.6× 325 0.7× 226 0.6× 280 0.8× 324 1.1× 41 1.0k
Dennis Otieno Germany 23 885 1.2× 329 0.7× 350 0.9× 421 1.2× 434 1.5× 80 1.4k
Raquel Lobo‐do‐Vale Portugal 16 806 1.1× 225 0.5× 354 1.0× 246 0.7× 291 1.0× 26 1.1k
A. Magill United States 4 539 0.7× 769 1.6× 321 0.9× 533 1.5× 270 1.0× 7 1.3k
Christina E. Catricala United States 5 478 0.6× 737 1.5× 309 0.8× 505 1.4× 231 0.8× 6 1.2k
Marc‐André Giasson United States 15 463 0.6× 351 0.7× 201 0.5× 378 1.1× 212 0.7× 15 912
Krisztina Pintér Hungary 17 578 0.8× 390 0.8× 144 0.4× 305 0.9× 126 0.4× 39 923
Stéphane Ponton France 15 753 1.0× 248 0.5× 283 0.8× 207 0.6× 226 0.8× 22 1.0k

Countries citing papers authored by L. Scott-Denton

Since Specialization
Citations

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

Fields of papers citing papers by L. Scott-Denton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. Scott-Denton. 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 L. Scott-Denton. The network helps show where L. Scott-Denton may publish in the future.

Co-authorship network of co-authors of L. Scott-Denton

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

All Works

8 of 8 papers shown
1.
Scott-Denton, L., D. J. Moore, Nan Rosenbloom, et al.. (2013). Forecasting net ecosystem CO2 exchange in a subalpine forest using model data assimilation combined with simulated climate and weather generation. Journal of Geophysical Research Biogeosciences. 118(2). 549–565. 13 indexed citations
2.
Monson, Russell K., Jia Hu, Sean P. Burns, et al.. (2009). Tree species effects on ecosystem water-use efficiency in a high-elevation, subalpine forest. Oecologia. 162(2). 491–504. 51 indexed citations
3.
Porter, Teresita M., Christopher W. Schadt, A. P. Martin, et al.. (2007). Widespread occurrence and phylogenetic placement of a soil clone group adds a prominent new branch to the fungal tree of life. Molecular Phylogenetics and Evolution. 46(2). 635–644. 73 indexed citations
4.
Weintraub, Michael, L. Scott-Denton, Steven K. Schmidt, & Russell K. Monson. (2007). The effects of tree rhizodeposition on soil exoenzyme activity, dissolved organic carbon, and nutrient availability in a subalpine forest ecosystem. Oecologia. 154(2). 327–338. 210 indexed citations
5.
Monson, Russell K., Jed P. Sparks, Todd N. Rosenstiel, et al.. (2005). Climatic influences on net ecosystem CO2 exchange during the transition from wintertime carbon source to springtime carbon sink in a high-elevation, subalpine forest. Oecologia. 146(1). 130–147. 172 indexed citations
6.
Scott-Denton, L., Todd N. Rosenstiel, & Russell K. Monson. (2005). Differential controls by climate and substrate over the heterotrophic and rhizospheric components of soil respiration. Global Change Biology. 12(2). 205–216. 264 indexed citations
7.
Scott-Denton, L.. (2003). Spatial and temporal controls of soil respiration rate in a high-elevation, subalpine forest. Soil Biology and Biochemistry. 35(4). 525–534. 156 indexed citations
8.
Monson, Russell K., Andrew A. Turnipseed, Jed P. Sparks, et al.. (2002). Carbon sequestration in a high‐elevation, subalpine forest. Global Change Biology. 8(5). 459–478. 317 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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