Susan J. Mazer

12.4k total citations · 5 hit papers
151 papers, 9.3k citations indexed

About

Susan J. Mazer is a scholar working on Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation and Plant Science. According to data from OpenAlex, Susan J. Mazer has authored 151 papers receiving a total of 9.3k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Ecology, Evolution, Behavior and Systematics, 85 papers in Nature and Landscape Conservation and 61 papers in Plant Science. Recurrent topics in Susan J. Mazer's work include Plant and animal studies (111 papers), Ecology and Vegetation Dynamics Studies (85 papers) and Species Distribution and Climate Change (35 papers). Susan J. Mazer is often cited by papers focused on Plant and animal studies (111 papers), Ecology and Vegetation Dynamics Studies (85 papers) and Species Distribution and Climate Change (35 papers). Susan J. Mazer collaborates with scholars based in United States, Canada and France. Susan J. Mazer's co-authors include Kristina M. Hufford, Tia‐Lynn Ashman, Martin Burd, Tiffany M. Knight, Janette A. Steets, Mark O. Johnston, Randall J. Mitchell, Michele R. Dudash, Diane R. Campbell and Horacio Paz and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Susan J. Mazer

148 papers receiving 8.8k citations

Hit Papers

POLLEN LIMITATION OF PLANT REPRODUCTION: ECOLOGICAL AND E... 2003 2026 2010 2018 2004 2005 2012 2003 2008 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Susan J. Mazer United States 43 6.3k 5.0k 4.2k 1.5k 1.5k 151 9.3k
R. Toby Pennington United Kingdom 52 6.7k 1.1× 3.5k 0.7× 2.8k 0.7× 1.2k 0.8× 1.2k 0.8× 161 10.7k
Angela T. Moles Australia 41 5.6k 0.9× 7.2k 1.4× 4.0k 0.9× 2.5k 1.6× 1.6k 1.1× 115 10.6k
Thomas J. Givnish United States 58 7.3k 1.2× 4.7k 0.9× 4.7k 1.1× 2.0k 1.3× 838 0.6× 128 12.6k
Johan Ehrlén Sweden 53 5.5k 0.9× 5.6k 1.1× 3.2k 0.8× 2.8k 1.9× 2.0k 1.4× 197 9.4k
Mary T. K. Arroyo Chile 43 4.7k 0.7× 2.9k 0.6× 3.0k 0.7× 1.2k 0.8× 701 0.5× 147 7.2k
Monica A. Geber United States 34 4.6k 0.7× 3.5k 0.7× 2.7k 0.6× 1.2k 0.8× 747 0.5× 79 7.0k
Oliver Bossdorf Germany 41 3.4k 0.5× 3.2k 0.6× 3.5k 0.8× 1.7k 1.1× 881 0.6× 94 7.7k
Adrienne B. Nicotra Australia 44 3.3k 0.5× 4.3k 0.9× 4.1k 1.0× 1.9k 1.2× 1.4k 1.0× 125 9.4k
BM Potts Australia 56 4.7k 0.7× 5.5k 1.1× 4.5k 1.1× 2.5k 1.6× 1.0k 0.7× 400 12.7k
Stephen D. Hopper Australia 42 3.2k 0.5× 3.3k 0.7× 2.2k 0.5× 1.5k 1.0× 1.3k 0.9× 185 6.8k

Countries citing papers authored by Susan J. Mazer

Since Specialization
Citations

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

Fields of papers citing papers by Susan J. Mazer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Susan J. Mazer. 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 Susan J. Mazer. The network helps show where Susan J. Mazer may publish in the future.

Co-authorship network of co-authors of Susan J. Mazer

This figure shows the co-authorship network connecting the top 25 collaborators of Susan J. Mazer. A scholar is included among the top collaborators of Susan J. Mazer 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 Susan J. Mazer. Susan J. Mazer 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.
Park, Isaac, Shijia Peng, Misako Nishino, et al.. (2025). Shifts in Phenology and Species Ranges Synergistically Alter the Timing and Species Composition of the Flowering Season. Global Change Biology. 31(11). e70607–e70607.
2.
Park, Isaac, Susan J. Mazer, Aaron M. Ellison, et al.. (2025). Bridging data silos to holistically model plant macrophenology. New Phytologist.
4.
Mazer, Susan J., et al.. (2022). Context‐dependent concordance between physiological divergence and phenotypic selection in sister taxa with contrasting phenology and mating systems. American Journal of Botany. 109(11). 1757–1779. 3 indexed citations
5.
Mazer, Susan J., et al.. (2022). What determines the evolutionary trajectories of wild plant species? Approaches to the study of quantitative fitness‐related traits. American Journal of Botany. 109(11). 1673–1682. 2 indexed citations
7.
Mazer, Susan J., et al.. (2020). Sex‐specific floral attraction traits in a sequentially hermaphroditic species. Ecology and Evolution. 10(4). 1856–1875. 5 indexed citations
8.
Park, Isaac, et al.. (2020). Advancing frost dates have reduced frost risk among most North American angiosperms since 1980. Global Change Biology. 27(1). 165–176. 27 indexed citations
9.
Goëau, Hervé, Julien Champ, Susan J. Mazer, et al.. (2020). A new fine‐grained method for automated visual analysis of herbarium specimens: A case study for phenological data extraction. Applications in Plant Sciences. 8(6). e11368–e11368. 29 indexed citations
10.
Mazer, Susan J., et al.. (2020). Trade‐off drives Pareto optimality of within‐ and among‐year emergence timing in response to increasing aridity. Evolutionary Applications. 14(3). 658–673. 4 indexed citations
11.
Mazer, Susan J., et al.. (2019). Floral traits influence the opportunity for selection among male gametophytes: independent and combined effects of style length and petal area. American Journal of Botany. 106(5). 744–753. 2 indexed citations
12.
Park, Isaac, et al.. (2019). PhenoForecaster: A software package for the prediction of flowering phenology. Applications in Plant Sciences. 7(3). e01230–e01230. 15 indexed citations
14.
Park, Isaac, et al.. (2019). A new phenological metric for use in pheno‐climatic models: A case study using herbarium specimens of Streptanthus tortuosus. Applications in Plant Sciences. 7(7). e11276–e11276. 17 indexed citations
15.
Park, Isaac & Susan J. Mazer. (2018). Overlooked climate parameters best predict flowering onset: Assessing phenological models using the elastic net. Global Change Biology. 24(12). 5972–5984. 39 indexed citations
16.
Dudley, Leah S., et al.. (2007). The joint evolution of mating system, floral traits and life history in Clarkia (Onagraceae): genetic constraints vs. independent evolution. Journal of Evolutionary Biology. 20(6). 2200–2218. 41 indexed citations
17.
Vamosi, Jana C., Tiffany M. Knight, Janette A. Steets, et al.. (2006). Pollination decays in biodiversity hotspots. Proceedings of the National Academy of Sciences. 103(4). 956–961. 229 indexed citations
18.
Wright, Ian J., David D. Ackerly, Frans Bongers, et al.. (2006). Relationships Among Ecologically Important Dimensions of Plant Trait Variation in Seven Neotropical Forests. Annals of Botany. 99(5). 1003–1015. 320 indexed citations
19.
Mazer, Susan J., et al.. (2001). Phylogenetic relationships in the Caesalpinioideae (Leguminosae) as inferred from chloroplast trnL intron sequences. Systematic Botany. 26. 76 indexed citations
20.
Machon, Nathalie, et al.. (1997). Allozyme variation in Ulmus species from France: analysis of differentiation. Heredity. 78(1). 12–20. 17 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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