Karen J. Marsh

1.7k total citations
49 papers, 1.1k citations indexed

About

Karen J. Marsh is a scholar working on Ecology, Nature and Landscape Conservation and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Karen J. Marsh has authored 49 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Ecology, 13 papers in Nature and Landscape Conservation and 13 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Karen J. Marsh's work include Wildlife Ecology and Conservation (23 papers), Animal Ecology and Behavior Studies (16 papers) and Ecology and Vegetation Dynamics Studies (13 papers). Karen J. Marsh is often cited by papers focused on Wildlife Ecology and Conservation (23 papers), Animal Ecology and Behavior Studies (16 papers) and Ecology and Vegetation Dynamics Studies (13 papers). Karen J. Marsh collaborates with scholars based in Australia, United States and India. Karen J. Marsh's co-authors include William J. Foley, Ian R. Wallis, Ben D. Moore, Rose L. Andrew, Kara N. Youngentob, Ann Cowling, Jennifer S. Forbey, Stuart McLean, Natasha Wiggins and Jessie L.‐S. Au and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Trends in Ecology & Evolution.

In The Last Decade

Karen J. Marsh

45 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karen J. Marsh Australia 22 578 295 258 168 158 49 1.1k
Scott J. Werner United States 19 595 1.0× 258 0.9× 211 0.8× 71 0.4× 177 1.1× 75 1.0k
Natasha Wiggins Australia 18 297 0.5× 230 0.8× 192 0.7× 87 0.5× 151 1.0× 30 676
S. J. Cork Australia 14 434 0.8× 204 0.7× 158 0.6× 81 0.5× 173 1.1× 17 808
Jyrki Pusenius Finland 23 660 1.1× 342 1.2× 311 1.2× 68 0.4× 252 1.6× 57 1.1k
Achmad Farajallah Indonesia 15 300 0.5× 114 0.4× 131 0.5× 133 0.8× 69 0.4× 97 870
Włodzimierz Meissner Poland 20 918 1.6× 332 1.1× 262 1.0× 68 0.4× 49 0.3× 159 1.6k
Walter J. Jakubas United States 17 438 0.8× 162 0.5× 157 0.6× 35 0.2× 72 0.5× 24 653
KA Evans United Kingdom 16 398 0.7× 175 0.6× 127 0.5× 174 1.0× 531 3.4× 84 1.2k
Waltécio de Oliveira Almeida Brazil 20 678 1.2× 177 0.6× 149 0.6× 97 0.6× 395 2.5× 102 1.6k
Erwan Guichoux France 16 374 0.6× 417 1.4× 298 1.2× 629 3.7× 594 3.8× 49 1.9k

Countries citing papers authored by Karen J. Marsh

Since Specialization
Citations

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

Fields of papers citing papers by Karen J. Marsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Karen J. Marsh

This figure shows the co-authorship network connecting the top 25 collaborators of Karen J. Marsh. A scholar is included among the top collaborators of Karen J. Marsh 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 Karen J. Marsh. Karen J. Marsh 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.
Marsh, Karen J., et al.. (2026). Chemical composition of post-fire epicormic foliage affects nutritional quality for folivores. Forest Ecology and Management. 606. 123569–123569.
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Cripps, Jemma K., Teresa J. Eyre, David B. Lindenmayer, et al.. (2025). Taxonomic revisions, strategic decisions research and management priorities for the threatened greater glider complex. California Digital Library.
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Youngentob, Kara N., et al.. (2024). The nutritional quality of post-fire eucalypt regrowth and its consumption by koalas in the New South Wales Southern Tablelands. Australian Journal of Zoology. 71(3). 5 indexed citations
6.
Marsh, Karen J., et al.. (2024). Australian megafires alter predicted distribution of the southern greater glider (Petauroides volans). Austral Ecology. 49(8). 3 indexed citations
7.
Clark, Robert G., George Madani, Damien P. Higgins, et al.. (2023). Health Assessments of Koalas after Wildfire: A Temporal Comparison of Rehabilitated and Non-Rescued Resident Individuals. Animals. 13(18). 2863–2863. 4 indexed citations
8.
Foley, William J., et al.. (2022). Common ringtail possums (Pseudocheirus peregrinus) tolerate high concentrations of unsubstituted B-ring flavanones in their diet. Australian Mammalogy. 44(3). 347–351. 3 indexed citations
9.
Lindenmayer, David B., Wade Blanchard, Lachlan McBurney, et al.. (2022). Stand age related differences in forest microclimate. Forest Ecology and Management. 510. 120101–120101. 35 indexed citations
10.
Lindenmayer, David B., Lachlan McBurney, Wade Blanchard, et al.. (2022). Elevation, disturbance, and forest type drive the occurrence of a specialist arboreal folivore. PLoS ONE. 17(4). e0265963–e0265963. 12 indexed citations
11.
Marsh, Karen J., et al.. (2021). The Application of NIRS to Determine Animal Physiological Traits for Wildlife Management and Conservation. Remote Sensing. 13(18). 3699–3699. 8 indexed citations
12.
Marsh, Karen J., Michaela D. J. Blyton, William J. Foley, & Ben D. Moore. (2021). Fundamental dietary specialisation explains differential use of resources within a koala population. Oecologia. 196(3). 795–803. 12 indexed citations
13.
Marsh, Karen J., et al.. (2019). Occurrence and distribution of unsubstituted B-ring flavanones in Eucalyptus foliage. Phytochemistry. 160. 31–39. 18 indexed citations
14.
Marsh, Karen J., Jessica L. Ward, Ian R. Wallis, & William J. Foley. (2017). Intraspecific Variation in Nutritional Composition Affects the Leaf Age Preferences of a Mammalian Herbivore. Journal of Chemical Ecology. 44(1). 62–71. 7 indexed citations
15.
Marsh, Karen J., Carsten Külheim, Simon P. Blomberg, et al.. (2017). Genus-wide variation in foliar polyphenolics in eucalypts. Phytochemistry. 144. 197–207. 27 indexed citations
16.
Marsh, Karen J., Baofa Yin, Inder Pal Singh, et al.. (2015). From Leaf Metabolome to In Vivo Testing: Identifying Antifeedant Compounds for Ecological Studies of Marsupial Diets. Journal of Chemical Ecology. 41(6). 513–519. 13 indexed citations
17.
Marsh, Karen J., Ian R. Wallis, & William J. Foley. (2007). Behavioural contributions to the regulated intake of plant secondary metabolites in koalas. Oecologia. 154(2). 283–290. 48 indexed citations
18.
Marsh, Karen J., Ian R. Wallis, Rose L. Andrew, & William J. Foley. (2006). The Detoxification Limitation Hypothesis: Where Did it Come From and Where is it Going?. Journal of Chemical Ecology. 32(6). 1247–1266. 115 indexed citations
19.
Wiggins, Natasha, Karen J. Marsh, Ian R. Wallis, William J. Foley, & Clare McArthur. (2005). Sideroxylonal in Eucalyptus foliage influences foraging behaviour of an arboreal folivore. Oecologia. 147(2). 272–279. 40 indexed citations
20.
Marsh, Karen J., William J. Foley, Ann Cowling, & Ian R. Wallis. (2003). Differential susceptibility to Eucalyptus secondary compounds explains feeding by the common ringtail (Pseudocheirus peregrinus) and common brushtail possum (Trichosurus vulpecula). Journal of Comparative Physiology B. 173(1). 69–78. 74 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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