Daniel C. Laughlin

19.6k total citations · 6 hit papers
120 papers, 7.4k citations indexed

About

Daniel C. Laughlin is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Daniel C. Laughlin has authored 120 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 97 papers in Nature and Landscape Conservation, 52 papers in Global and Planetary Change and 42 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Daniel C. Laughlin's work include Ecology and Vegetation Dynamics Studies (90 papers), Plant and animal studies (39 papers) and Species Distribution and Climate Change (31 papers). Daniel C. Laughlin is often cited by papers focused on Ecology and Vegetation Dynamics Studies (90 papers), Plant and animal studies (39 papers) and Species Distribution and Climate Change (31 papers). Daniel C. Laughlin collaborates with scholars based in United States, New Zealand and Australia. Daniel C. Laughlin's co-authors include Peter Z. Fulé, Margaret M. Moore, Sarah J. Richardson, K. Kramer-Walter, Peter J. Bellingham, Julie Messier, W. Wallace Covington, Timothy R. Millar, Rob D. Smissen and Étienne Laliberté and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Daniel C. Laughlin

116 papers receiving 7.2k citations

Hit Papers

Revisiting the Holy Grail... 2014 2026 2018 2022 2016 2020 2016 2017 2014 100 200 300 400 500
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Revisiting the Holy Grail: using plant functional traits to understand ecological processes
    2016 590 citations Jennifer L. Funk, Julie E. Larson et al. Biological reviews/Biological reviews of the Cambridge Philosophical Society profile →
  2. The fungal collaboration gradient dominates the root economics space in plants
    2020 564 citations Joana Bergmann, Alexandra Weigelt et al. Science Advances profile →
  3. Root traits are multidimensional: specific root length is independent from root tissue density and the plant economic spectrum
    2016 460 citations Daniel C. Laughlin et al. Journal of Ecology profile →
  4. Tree mortality across biomes is promoted by drought intensity, lower wood density and higher specific leaf area
    2017 374 citations Daniel C. Laughlin, Jens Kattge et al. Ecology Letters profile →
  5. Applying trait‐based models to achieve functional targets for theory‐driven ecological restoration
    2014 369 citations Daniel C. Laughlin Ecology Letters profile →
  6. Reinforcing loose foundation stones in trait-based plant ecology
    2016 349 citations Daniel C. Laughlin et al. Oecologia profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Daniel C. Laughlin 4.8k 2.8k 2.1k 2.1k 2.0k 120 7.4k
Karl Grigulis 4.3k 0.9× 2.0k 0.7× 2.1k 1.0× 2.3k 1.1× 1.9k 1.0× 42 6.7k
Marie‐Laure Navas 4.0k 0.8× 1.9k 0.7× 1.5k 0.7× 2.4k 1.2× 2.4k 1.2× 39 6.4k
Anke Jentsch 3.4k 0.7× 3.5k 1.2× 2.5k 1.1× 1.6k 0.8× 2.2k 1.1× 182 8.2k
Amy J. Symstad 4.2k 0.9× 2.6k 0.9× 3.2k 1.5× 2.2k 1.1× 1.3k 0.7× 50 7.8k
David F. R. P. Burslem 5.0k 1.0× 2.4k 0.9× 1.8k 0.8× 2.3k 1.1× 1.9k 0.9× 185 7.7k
Brian J. Wilsey 4.1k 0.9× 1.7k 0.6× 2.8k 1.3× 2.1k 1.0× 1.8k 0.9× 107 6.9k
Rob W. Brooker 4.1k 0.9× 1.3k 0.5× 2.0k 1.0× 2.8k 1.4× 2.4k 1.2× 92 6.9k
James W. Dalling 5.5k 1.1× 2.2k 0.8× 1.6k 0.7× 3.2k 1.6× 2.8k 1.4× 139 8.3k
Adrián Escudero 5.5k 1.1× 2.5k 0.9× 2.1k 1.0× 4.8k 2.3× 3.7k 1.9× 307 10.3k
Cristina Armas 3.6k 0.7× 1.5k 0.5× 1.4k 0.6× 2.2k 1.1× 2.4k 1.2× 72 5.9k

Countries citing papers authored by Daniel C. Laughlin

Since Specialization
Citations

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

Fields of papers citing papers by Daniel C. Laughlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel C. Laughlin. 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 Daniel C. Laughlin. The network helps show where Daniel C. Laughlin may publish in the future.

Co-authorship network of co-authors of Daniel C. Laughlin

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel C. Laughlin. A scholar is included among the top collaborators of Daniel C. Laughlin 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 Daniel C. Laughlin. Daniel C. Laughlin 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.
Blumenthal, Dana M., Jeffrey M. Diez, Ian S. Pearse, et al.. (2025). Why are non‐native plants successful? Consistently fast economic traits and novel origin jointly explain abundance across US ecoregions. New Phytologist. 248(3). 1192–1204. 1 indexed citations
2.
Laughlin, Daniel C.. (2024). Unifying functional and population ecology to test the adaptive value of traits. Biological reviews/Biological reviews of the Cambridge Philosophical Society. 99(6). 1976–1991. 8 indexed citations
3.
Siefert, Andrew & Daniel C. Laughlin. (2023). Estimating the net effect of functional traits on fitness across species and environments. Methods in Ecology and Evolution. 14(4). 1035–1048. 8 indexed citations
4.
Springer, Judith D., Michael T. Stoddard, Kyle C. Rodman, et al.. (2023). Increases in understory plant cover and richness persist following restoration treatments inPinus ponderosaforests. Journal of Applied Ecology. 61(1). 25–35. 5 indexed citations
5.
Fajardo, Alex, Andrew Siefert, & Daniel C. Laughlin. (2023). Wood density and leaf size jointly predict woody plant growth rates across (but not within) species along a steep precipitation gradient. Journal of Ecology. 112(2). 374–388. 6 indexed citations
6.
Smith, Melinda D., et al.. (2023). Drought‐tolerant grassland species are generally more resistant to competition. Journal of Ecology. 112(2). 416–426. 5 indexed citations
7.
Ladouceur, Emma, Lars A. Brudvig, Daniel C. Laughlin, et al.. (2023). Testing the hierarchy of predictability in grassland restoration across a gradient of environmental severity. Ecological Applications. 33(8). e2922–e2922. 2 indexed citations
8.
Chalmandrier, Loïc, et al.. (2022). Predictions of biodiversity are improved by integrating trait‐based competition with abiotic filtering. Ecology Letters. 25(5). 1277–1289. 20 indexed citations
9.
Adler, Peter B., et al.. (2022). plantTracker : An R package to translate maps of plant occurrence into demographic data. Methods in Ecology and Evolution. 13(10). 2129–2137. 1 indexed citations
10.
Fornwalt, Paula J., et al.. (2022). Understory plant community responses to widespread spruce mortality in a subalpine forest. Journal of Vegetation Science. 33(1). 8 indexed citations
11.
Moore, Margaret M., Jeff Jenness, Daniel C. Laughlin, et al.. (2022). Cover and density of southwestern ponderosa pine understory plants in permanent chart quadrats (2002–2020). Ecology. 103(5). e3661–e3661. 3 indexed citations
12.
Lusk, Christopher H., Susan K. Wiser, & Daniel C. Laughlin. (2020). Climate influences the value of a plant structural defence against browsing. Journal of Ecology. 109(3). 1411–1423. 4 indexed citations
13.
Bergmann, Joana, Alexandra Weigelt, Fons van der Plas, et al.. (2020). The fungal collaboration gradient dominates the root economics space in plants. Science Advances. 6(27). 564 indexed citations breakdown →
14.
Boonman, Coline C. F., Ana Benítez‐López, Aafke M. Schipper, et al.. (2020). Assessing the reliability of predicted plant trait distributions at the global scale. Global Ecology and Biogeography. 29(6). 1034–1051. 46 indexed citations
15.
Hamilton, David P., et al.. (2019). Long‐term changes in the water quality of a deep temperate oligotrophic lake in response to catchment disturbance: evidence from sediment cores. New Zealand Journal of Marine and Freshwater Research. 53(4). 571–587. 2 indexed citations
16.
Strahan, Robert T., Daniel C. Laughlin, & Margaret M. Moore. (2018). An experimental test of the Community Assembly by Trait Selection (CATS) model. PLoS ONE. 13(11). e0206787–e0206787.
17.
18.
Funk, Jennifer L., Julie E. Larson, Gregory M. Ames, et al.. (2017). Revisiting the Holy Grail: Using plant functional traits to understand ecological processes. eScholarship (California Digital Library). 36 indexed citations
19.
Laughlin, Daniel C.. (2013). The intrinsic dimensionality of plant traits and its relevance to community assembly. Journal of Ecology. 102(1). 186–193. 328 indexed citations
20.
Laughlin, Daniel C. & Christopher Uhl. (2003). The xeric limestone prairies of Pennsylvania. Castanea. 68(4). 300–316. 12 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

Breakdown of academic impact, for papers by Karl Grigulis Breakdown of academic impact, for papers by Marie‐Laure Navas Breakdown of academic impact, for papers by Anke Jentsch Breakdown of academic impact, for papers by Amy J. Symstad Breakdown of academic impact, for papers by David F. R. P. Burslem Breakdown of academic impact, for papers by Brian J. Wilsey Breakdown of academic impact, for papers by Rob W. Brooker Breakdown of academic impact, for papers by James W. Dalling Breakdown of academic impact, for papers by Adrián Escudero Breakdown of academic impact, for papers by Cristina Armas
Rankless by CCL
2026