Van M. Savage

25.7k total citations · 10 hit papers
92 papers, 17.9k citations indexed

About

Van M. Savage is a scholar working on Ecology, Genetics and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Van M. Savage has authored 92 papers receiving a total of 17.9k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Ecology, 26 papers in Genetics and 20 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Van M. Savage's work include Physiological and biochemical adaptations (34 papers), Evolution and Genetic Dynamics (19 papers) and Plant and animal studies (13 papers). Van M. Savage is often cited by papers focused on Physiological and biochemical adaptations (34 papers), Evolution and Genetic Dynamics (19 papers) and Plant and animal studies (13 papers). Van M. Savage collaborates with scholars based in United States, United Kingdom and Canada. Van M. Savage's co-authors include James H. Brown, James F. Gillooly, Geoffrey B. West, Andrew P. Allen, Eric L. Charnov, Anthony I. Dell, Samraat Pawar, Brian J. Enquist, Eric J. Deeds and Walter Fontana and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Van M. Savage

90 papers receiving 17.3k citations

Hit Papers

TOWARD A METABOLIC THEORY OF ECOLOGY 2001 2026 2009 2017 2004 2001 2002 2014 2004 1000 2.0k 3.0k 4.0k 5.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Van M. Savage United States 45 9.7k 4.8k 4.4k 4.2k 2.9k 92 17.9k
Kevin S. McCann Canada 49 6.9k 0.7× 4.5k 0.9× 3.3k 0.7× 3.6k 0.9× 2.2k 0.7× 157 12.8k
William F. Fagan United States 64 8.5k 0.9× 5.8k 1.2× 3.7k 0.8× 4.0k 1.0× 2.2k 0.8× 270 16.5k
Hal Caswell United States 69 9.4k 1.0× 7.5k 1.6× 4.4k 1.0× 5.0k 1.2× 2.6k 0.9× 214 19.5k
James F. Gillooly United States 37 9.1k 0.9× 4.5k 0.9× 3.9k 0.9× 3.7k 0.9× 2.5k 0.8× 66 15.4k
Marcel Holyoak United States 36 6.9k 0.7× 5.0k 1.0× 2.2k 0.5× 3.9k 0.9× 1.7k 0.6× 125 11.9k
Pablo A. Marquet Chile 55 6.7k 0.7× 4.8k 1.0× 3.6k 0.8× 3.9k 0.9× 1.6k 0.6× 211 14.4k
Aaron M. Ellison United States 65 8.5k 0.9× 6.2k 1.3× 4.9k 1.1× 5.4k 1.3× 1.8k 0.6× 291 19.5k
Peter Chesson United States 47 6.5k 0.7× 8.9k 1.9× 3.3k 0.8× 7.1k 1.7× 3.2k 1.1× 117 16.1k
Daniel I. Bolnick United States 56 9.5k 1.0× 6.2k 1.3× 3.7k 0.8× 6.9k 1.7× 5.7k 2.0× 165 19.2k
Nelson G. Hairston United States 61 7.8k 0.8× 5.4k 1.1× 3.1k 0.7× 4.2k 1.0× 3.7k 1.3× 187 15.9k

Countries citing papers authored by Van M. Savage

Since Specialization
Citations

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

Fields of papers citing papers by Van M. Savage

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Van M. Savage. 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 Van M. Savage. The network helps show where Van M. Savage may publish in the future.

Co-authorship network of co-authors of Van M. Savage

This figure shows the co-authorship network connecting the top 25 collaborators of Van M. Savage. A scholar is included among the top collaborators of Van M. Savage 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 Van M. Savage. Van M. Savage 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.
Cruz‐Loya, Mauricio, Erin A. Mordecai, & Van M. Savage. (2026). A flexible model for thermal performance curves. Ecology. 107(2). e70251–e70251.
2.
3.
Lozano-Huntelman, Natalie, et al.. (2022). Meta-analysis of three-stressor combinations on population-level fitness reveal substantial higher-order interactions. The Science of The Total Environment. 864. 161163–161163. 6 indexed citations
4.
Mira, Portia, Natalie Lozano-Huntelman, Adrienne Johnson, Van M. Savage, & Pamela J. Yeh. (2022). Evolution of antibiotic resistance impacts optimal temperature and growth rate in Escherichia coli and Staphylococcus epidermidis. Journal of Applied Microbiology. 133(4). 2655–2667. 5 indexed citations
5.
Cruz‐Loya, Mauricio, Elif Tekin, Natalie Lozano-Huntelman, et al.. (2021). Antibiotics Shift the Temperature Response Curve of Escherichia coli Growth. mSystems. 6(4). e0022821–e0022821. 21 indexed citations
6.
Rodríguez‐Verdugo, Alejandra, Natalie Lozano-Huntelman, Mauricio Cruz‐Loya, Van M. Savage, & Pamela J. Yeh. (2020). Compounding Effects of Climate Warming and Antibiotic Resistance. iScience. 23(4). 101024–101024. 91 indexed citations
7.
Savage, Van M., et al.. (2020). Predicting collapse of complex ecological systems: quantifying the stability–complexity continuum. Journal of The Royal Society Interface. 17(166). 20190391–20190391. 20 indexed citations
9.
Savage, Van M., et al.. (2019). Self-Similar Processes Follow a Power Law in Discrete Logarithmic Space. Physical Review Letters. 122(15). 158303–158303. 8 indexed citations
10.
Pruitt, Jonathan N., Andrew M. Berdahl, Christina Riehl, et al.. (2018). Social tipping points in animal societies. Proceedings of the Royal Society B Biological Sciences. 285(1887). 20181282–20181282. 27 indexed citations
11.
Tekin, Elif, Pamela J. Yeh, & Van M. Savage. (2018). General Form for Interaction Measures and Framework for Deriving Higher-Order Emergent Effects. Frontiers in Ecology and Evolution. 6. 21 indexed citations
12.
Mordecai, Erin A., Jeremy M. Cohen, Michelle Evans, et al.. (2017). Detecting the impact of temperature on transmission of Zika, dengue, and chikungunya using mechanistic models. PLoS neglected tropical diseases. 11(4). e0005568–e0005568. 416 indexed citations breakdown →
13.
Savage, Van M., et al.. (2017). A general model for metabolic scaling in self-similar asymmetric networks. PLoS Computational Biology. 13(3). e1005394–e1005394. 26 indexed citations
14.
Tekin, Elif, et al.. (2016). Do Vascular Networks Branch Optimally or Randomly across Spatial Scales?. PLoS Computational Biology. 12(11). e1005223–e1005223. 35 indexed citations
15.
Ennis, Daniel B., et al.. (2015). Testing Foundations of Biological Scaling Theory Using Automated Measurements of Vascular Networks. PLoS Computational Biology. 11(8). e1004455–e1004455. 20 indexed citations
16.
Savage, Van M., et al.. (2010). Curvature in metabolic scaling. Nature. 464(7289). 753–756. 253 indexed citations
17.
O’Dwyer, James P., et al.. (2009). An integrative framework for stochastic, size-structured community assembly. Proceedings of the National Academy of Sciences. 106(15). 6170–6175. 43 indexed citations
18.
Savage, Van M., Ethan P. White, Melanie E. Moses, et al.. (2006). Comment on "The Illusion of Invariant Quantities in Life Histories". Science. 312(5771). 198–198. 22 indexed citations
19.
Cohen, Joel E., Tomas Jönsson, Christine Müller, H. C. J. Godfray, & Van M. Savage. (2005). Body sizes of hosts and parasitoids in individual feeding relationships. Proceedings of the National Academy of Sciences. 102(3). 684–689. 68 indexed citations
20.
Pepper, John W., et al.. (2003). Allometric scaling of ant foraging trail networks. Evolutionary ecology research. 5(2). 297–303. 32 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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