Bill Shipley

3.1k total citations · 1 hit paper
16 papers, 2.3k citations indexed

About

Bill Shipley is a scholar working on Nature and Landscape Conservation, Ecology, Evolution, Behavior and Systematics and Plant Science. According to data from OpenAlex, Bill Shipley has authored 16 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Nature and Landscape Conservation, 7 papers in Ecology, Evolution, Behavior and Systematics and 4 papers in Plant Science. Recurrent topics in Bill Shipley's work include Ecology and Vegetation Dynamics Studies (12 papers), Plant and animal studies (7 papers) and Forest ecology and management (3 papers). Bill Shipley is often cited by papers focused on Ecology and Vegetation Dynamics Studies (12 papers), Plant and animal studies (7 papers) and Forest ecology and management (3 papers). Bill Shipley collaborates with scholars based in Canada, United States and Australia. Bill Shipley's co-authors include Peter B. Reich, Denis Vile, Éric Garnier, Ian J. Wright, Martin J. Lechowicz, Daniel C. Laughlin, J. Hans C. Cornelissen, Francesco de Bello, Étienne Laliberté and Robert H. Peters and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Ecology.

In The Last Decade

Bill Shipley

16 papers receiving 2.3k citations

Hit Papers

align trajectories

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.

Reinforcing loose foundation stones in trait-based plant ecology

2016 349 citations Bill Shipley, Francesco de Bello et al. Oecologia profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bill Shipley Canada	14	1.5k	969	804	702	498	16	2.3k
Guillermo Ibarra‐Manríquez Mexico	30	1.8k 1.2×	1.4k 1.4×	708 0.9×	808 1.2×	544 1.1×	109	3.1k
Gérard Laurent France	6	1.5k 1.0×	827 0.9×	718 0.9×	680 1.0×	555 1.1×	8	2.2k
Claus Holzapfel United States	22	1.7k 1.2×	1.1k 1.1×	1.0k 1.3×	623 0.9×	929 1.9×	41	2.7k
Runguo Zang China	28	1.5k 1.0×	909 0.9×	682 0.8×	866 1.2×	551 1.1×	180	2.6k
Marko J. Spasojevic United States	26	1.6k 1.0×	970 1.0×	613 0.8×	614 0.9×	738 1.5×	61	2.4k
David Kikodze Georgia	14	1.6k 1.0×	1.1k 1.1×	895 1.1×	433 0.6×	610 1.2×	33	2.4k
Kristjan Zobel Estonia	28	1.9k 1.3×	1.4k 1.4×	1.1k 1.3×	408 0.6×	806 1.6×	60	2.7k
Vincent Jung France	13	1.6k 1.1×	1.1k 1.2×	575 0.7×	522 0.7×	685 1.4×	24	2.4k
Christian Schöb Switzerland	29	1.4k 1.0×	998 1.0×	1.1k 1.3×	426 0.6×	485 1.0×	88	2.5k
Marco Antônio Batalha Brazil	28	1.7k 1.1×	1.5k 1.5×	715 0.9×	703 1.0×	668 1.3×	86	2.8k

Countries citing papers authored by Bill Shipley

Since Specialization

Citations

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

Fields of papers citing papers by Bill Shipley

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bill Shipley

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

All Works

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16 of 16 papers shown

Shipley, Bill, Francesco de Bello, J. Hans C. Cornelissen, et al.. (2016). Reinforcing loose foundation stones in trait-based plant ecology. Oecologia. 180(4). 923–931. 349 indexed citations breakdown →

Shipley, Bill, et al.. (2016). Partitioning the effect of composition and diversity of tree communities on leaf litter decomposition and soil respiration. Oikos. 126(7). 959–971. 35 indexed citations

Shipley, Bill, et al.. (2015). A traits-based test of the home-field advantage in mixed-species tree litter decomposition. Annals of Botany. 116(5). 781–788. 32 indexed citations

Shipley, Bill, Daniel C. Laughlin, Gregory Sonniér, & Rafael Otfinowski. (2010). A strong test of a maximum entropy model of trait-based community assembly. Ecology. 92(2). 507–517. 54 indexed citations

Shipley, Bill. (2010). Inferential permutation tests for maximum entropy models in ecology. Ecology. 91(9). 2794–2805. 15 indexed citations

Shipley, Bill. (2009). From Plant Traits to Vegetation Structure: Chance and Selection in the Assembly of Ecological Communities. 149 indexed citations

Shipley, Bill. (2009). Trivial and non‐trivial applications of entropy maximization in ecology: Shipley's reply. Oikos. 118(8). 1279–1280. 8 indexed citations

Shipley, Bill, Denis Vile, & Éric Garnier. (2007). Response to Comments on "From Plant Traits to Plant Communities: A Statistical Mechanistic Approach to Biodiversity". Science. 316(5830). 1425–1425. 16 indexed citations

Niklas, Karl J., Edward D. Cobb, Ülo Niinemets, et al.. (2007). “Diminishing returns” in the scaling of functional leaf traits across and within species groups. Proceedings of the National Academy of Sciences. 104(21). 8891–8896. 202 indexed citations

10.

Shipley, Bill, Martin J. Lechowicz, Ian J. Wright, & Peter B. Reich. (2006). FUNDAMENTAL TRADE-OFFS GENERATING THE WORLDWIDE LEAF ECONOMICS SPECTRUM. Ecology. 87(3). 535–541. 425 indexed citations

11.

Shipley, Bill, Denis Vile, & Éric Garnier. (2006). From Plant Traits to Plant Communities: A Statistical Mechanistic Approach to Biodiversity. Science. 314(5800). 812–814. 477 indexed citations

12.

Vile, Denis, Éric Garnier, Bill Shipley, et al.. (2005). Specific Leaf Area and Dry Matter Content Estimate Thickness in Laminar Leaves. Annals of Botany. 96(6). 1129–1136. 373 indexed citations

13.

Almeida‐Cortez, Jarcilene Silva de, Bill Shipley, & John T. Arnason. (2003). Effects of nutrient availability on the production of pentaynene, a secondary compound related to defense, in Rudbeckia hirta. Plant Species Biology. 18(2-3). 85–89. 7 indexed citations

14.

Shipley, Bill & Jarcilene Silva de Almeida‐Cortez. (2003). Interspecific consistency and intraspecific variability of specific leaf area with respect to irradiance and nutrient availability. Ecoscience. 10(1). 74–79. 35 indexed citations

15.

Shipley, Bill. (1999). Testing Causal Explanations in Organismal Biology: Causation, Correlation and Structural Equation Modelling. Oikos. 86(2). 374–374. 77 indexed citations

16.

Shipley, Bill & Robert H. Peters. (1990). A Test of the Tilman Model of Plant Strategies: Relative Growth Rate and Biomass Partitioning. The American Naturalist. 136(2). 139–153. 83 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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