Julia Schroeder

2.9k total citations
70 papers, 1.6k citations indexed

About

Julia Schroeder is a scholar working on Ecology, Evolution, Behavior and Systematics, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, Julia Schroeder has authored 70 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Ecology, Evolution, Behavior and Systematics, 44 papers in Ecology and 8 papers in Nature and Landscape Conservation. Recurrent topics in Julia Schroeder's work include Animal Behavior and Reproduction (48 papers), Avian ecology and behavior (35 papers) and Plant and animal studies (25 papers). Julia Schroeder is often cited by papers focused on Animal Behavior and Reproduction (48 papers), Avian ecology and behavior (35 papers) and Plant and animal studies (25 papers). Julia Schroeder collaborates with scholars based in United Kingdom, Germany and Netherlands. Julia Schroeder's co-authors include Terry Burke, Shinichi Nakagawa, Alfredo Sánchez‐Tójar, Ian R. Cleasby, Damien R. Farine, Isabel S. Winney, Theunis Piersma, Jos C. E. W. Hooijmeijer, Pedro M. Lourenço and Hannah L. Dugdale and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Scientific Reports.

In The Last Decade

Julia Schroeder

66 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julia Schroeder United Kingdom 23 935 902 210 187 170 70 1.6k
Stuart P. Sharp United Kingdom 20 903 1.0× 843 0.9× 214 1.0× 232 1.2× 127 0.7× 51 1.4k
Sjouke A. Kingma Netherlands 26 1.2k 1.3× 872 1.0× 143 0.7× 252 1.3× 104 0.6× 68 1.7k
Ella F. Cole United Kingdom 18 922 1.0× 548 0.6× 243 1.2× 213 1.1× 139 0.8× 31 1.4k
Morné A. Du Plessis South Africa 22 1.2k 1.2× 1.1k 1.2× 144 0.7× 234 1.3× 263 1.5× 42 1.7k
Lyanne Brouwer Netherlands 24 1.4k 1.4× 1.1k 1.3× 158 0.8× 297 1.6× 270 1.6× 49 1.9k
Donald Blomqvist Sweden 24 1.2k 1.3× 1.3k 1.5× 125 0.6× 338 1.8× 276 1.6× 63 2.1k
Gergely Hegyi Hungary 23 1.3k 1.4× 1.0k 1.1× 201 1.0× 155 0.8× 153 0.9× 81 1.6k
Ian G. McLean New Zealand 22 803 0.9× 1.1k 1.3× 179 0.9× 193 1.0× 251 1.5× 74 1.7k
Gábor Markó Hungary 21 958 1.0× 848 0.9× 171 0.8× 115 0.6× 201 1.2× 66 1.5k
Peter Neuhaus Canada 25 908 1.0× 1.4k 1.5× 94 0.4× 365 2.0× 226 1.3× 58 1.9k

Countries citing papers authored by Julia Schroeder

Since Specialization
Citations

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

Fields of papers citing papers by Julia Schroeder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julia Schroeder

This figure shows the co-authorship network connecting the top 25 collaborators of Julia Schroeder. A scholar is included among the top collaborators of Julia Schroeder 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 Julia Schroeder. Julia Schroeder 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.
Beck, Kristina B., Terry Burke, Daniel J. Dunleavy, et al.. (2025). Animal social networks are robust to changing association definitions. Behavioral Ecology and Sociobiology. 79(2). 26–26.
2.
Schupp, Harald T., Britta Renner, Julia Schroeder, et al.. (2025). YOLO ‐Behaviour: A simple, flexible framework to automatically quantify animal behaviours from videos. Methods in Ecology and Evolution. 16(4). 760–774. 5 indexed citations
3.
Schroeder, Julia, et al.. (2025). How animals discriminate between stimulus magnitudes: a meta-analysis. Behavioral Ecology. 36(3). araf025–araf025. 3 indexed citations
4.
Martin, Jordan S., David F. Westneat, Shinichi Nakagawa, Julia Schroeder, & Terry Burke. (2025). Measuring selection on reaction norms: Lack’s principle and plasticity in clutch size. Evolution. 79(11). 2460–2473. 1 indexed citations
5.
Burke, Terry, et al.. (2025). Long-term fitness effects of the early-life environment in a wild bird population. Behavioral Ecology. 36(5). araf097–araf097.
6.
Schroeder, Julia, et al.. (2024). Not so social in old age: demography as one driver of decreasing sociality. Philosophical Transactions of the Royal Society B Biological Sciences. 379(1916). 20220458–20220458. 2 indexed citations
7.
Mannarelli, Maria‐Elena, Natalie dos Remedios, Mirre J. P. Simons, et al.. (2024). Heritability and age-dependent changes in genetic variation of telomere length in a wild house sparrow population. Evolution Letters. 9(2). 209–220. 1 indexed citations
8.
9.
Ewing, Steven R., et al.. (2023). Age-specific survival in an English Twite Linaria flavirostris population. Bird Study. 70(1-2). 59–63.
10.
Eberhart‐Phillips, Luke J., et al.. (2023). Egg size variation in the context of polyandry: a case study using long-term field data from snowy plovers. Evolution. 77(12). 2590–2605.
11.
Schroeder, Julia, et al.. (2023). Calls of Manx shearwater Puffinus puffinus contain individual signatures. Journal of Avian Biology. 2024(5-6). 1 indexed citations
12.
Burke, Terry, et al.. (2023). Indirect genetic effects increase heritability estimates for male and female extra-pair reproduction. Evolution. 77(8). 1893–1901. 4 indexed citations
13.
Sparks, Alexandra M., et al.. (2022). A meta‐analysis on the heritability of vertebrate telomere length. Journal of Evolutionary Biology. 35(10). 1283–1295. 22 indexed citations
14.
Burke, Terry, et al.. (2022). Opposite-sex associations are linked with annual fitness, but sociality is stable over lifetime. Behavioral Ecology. 34(3). 315–324. 10 indexed citations
15.
Burke, Terry, et al.. (2020). Repeatable social network node‐based metrics across populations and contexts in a passerine. Journal of Evolutionary Biology. 33(11). 1634–1642. 10 indexed citations
16.
Schroeder, Julia, et al.. (2019). Mature sperm small-RNA profile in the sparrow: implications for transgenerational effects of age on fitness. Current Zoology. 5(2). dvz007–dvz007. 9 indexed citations
17.
Girndt, Antje, et al.. (2019). Male age and its association with reproductive traits in captive and wild house sparrows. Journal of Evolutionary Biology. 32(12). 1432–1443. 17 indexed citations
18.
Redfern, Christopher P.F., et al.. (2018). An evaluation of canes as a management technique to reduce predation by gulls of ground‐nesting seabirds. Ibis. 161(2). 453–458. 1 indexed citations
19.
Sánchez‐Tójar, Alfredo, Julia Schroeder, & Damien R. Farine. (2017). A practical guide for inferring reliable dominance hierarchies and estimating their uncertainty. Journal of Animal Ecology. 87(3). 594–608. 147 indexed citations
20.
Winney, Isabel S., Julia Schroeder, Shinichi Nakagawa, et al.. (2017). Heritability and social brood effects on personality in juvenile and adult life‐history stages in a wild passerine. Journal of Evolutionary Biology. 31(1). 75–87. 11 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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