Dana G. Schabo

1.1k total citations
31 papers, 331 citations indexed

About

Dana G. Schabo is a scholar working on Nature and Landscape Conservation, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, Dana G. Schabo has authored 31 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Nature and Landscape Conservation, 18 papers in Ecology, Evolution, Behavior and Systematics and 18 papers in Ecology. Recurrent topics in Dana G. Schabo's work include Ecology and Vegetation Dynamics Studies (18 papers), Plant and animal studies (11 papers) and Wildlife Ecology and Conservation (10 papers). Dana G. Schabo is often cited by papers focused on Ecology and Vegetation Dynamics Studies (18 papers), Plant and animal studies (11 papers) and Wildlife Ecology and Conservation (10 papers). Dana G. Schabo collaborates with scholars based in Germany, Poland and Ethiopia. Dana G. Schabo's co-authors include Nina Farwig, Jörg Albrecht, Bogdan Jaroszewicz, Jonas Hagge, H. Martin Schaefer, Roland Brandl, Nuria Selva, Sascha Rösner, Alberto García‐Rodríguez and Roman Bucher and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Journal of Ecology.

In The Last Decade

Dana G. Schabo

28 papers receiving 315 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dana G. Schabo Germany 11 183 179 172 61 59 31 331
André de Camargo Guaraldo Brazil 10 153 0.8× 103 0.6× 208 1.2× 97 1.6× 39 0.7× 41 362
Román A. Ruggera Argentina 11 228 1.2× 231 1.3× 180 1.0× 83 1.4× 75 1.3× 28 364
Facundo X. Palacio Argentina 12 228 1.2× 256 1.4× 236 1.4× 127 2.1× 52 0.9× 45 465
Susana P. Bravo Argentina 13 204 1.1× 178 1.0× 228 1.3× 54 0.9× 39 0.7× 32 421
Scott T. Walter United States 11 104 0.6× 111 0.6× 123 0.7× 37 0.6× 55 0.9× 22 283
Paweł Mirski Poland 13 158 0.9× 110 0.6× 242 1.4× 58 1.0× 94 1.6× 50 409
Jorge L. Rentería South Africa 9 126 0.7× 180 1.0× 122 0.7× 75 1.2× 92 1.6× 13 340
Ismael Franz Brazil 9 120 0.7× 120 0.7× 194 1.1× 68 1.1× 36 0.6× 21 369
Damon L. Oliver Australia 11 119 0.7× 222 1.2× 330 1.9× 141 2.3× 29 0.5× 24 460
Rafał Martyka Poland 11 115 0.6× 82 0.5× 220 1.3× 43 0.7× 24 0.4× 29 303

Countries citing papers authored by Dana G. Schabo

Since Specialization
Citations

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

Fields of papers citing papers by Dana G. Schabo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dana G. Schabo. 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 Dana G. Schabo. The network helps show where Dana G. Schabo may publish in the future.

Co-authorship network of co-authors of Dana G. Schabo

This figure shows the co-authorship network connecting the top 25 collaborators of Dana G. Schabo. A scholar is included among the top collaborators of Dana G. Schabo 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 Dana G. Schabo. Dana G. Schabo 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.
Masello, Juan F., Petra Quillfeldt, Markus Mühling, et al.. (2025). Intrinsic factors influence a physiological measure in a forest bird community: adults and females have higher H/L ratios than juveniles and males. Journal of Avian Biology. 2025(2).
2.
Westbury, Michael V., Alba Rey‐Iglesia, Addisu Asefa, et al.. (2024). Topographic barriers drive the pronounced genetic subdivision of a range‐limited fossorial rodent. Molecular Ecology. 33(5). e17271–e17271.
3.
Mühling, Markus, Daniel Schneider, Sascha Rösner, et al.. (2024). Identifying and Counting Avian Blood Cells in Whole Slide Images via Deep Learning. SHILAP Revista de lepidopterología. 5(1). 48–66. 5 indexed citations
4.
5.
Murgatroyd, Megan, Nina Farwig, Ryno Kemp, et al.. (2023). A utilization distribution for the global population of Cape Vultures (Gypscoprotheres) to guide wind energy development. Ecological Applications. 33(3). e2809–e2809. 6 indexed citations
6.
Farwig, Nina, Dana G. Schabo, Matthias Schleuning, et al.. (2023). Vertically stratified frugivore community composition and interaction frequency in a liana fruiting across forest strata. Biotropica. 55(3). 650–664. 5 indexed citations
7.
Asefa, Addisu, et al.. (2023). Human activities modulate reciprocal effects of a subterranean ecological engineer rodent, Tachyoryctes macrocephalus, on Afroalpine vegetation cover. Ecology and Evolution. 13(7). e10337–e10337. 2 indexed citations
8.
Rösner, Sascha, et al.. (2023). High-quality habitats and refuges from tourism reduce individual stress responses in a forest specialist. Wildlife Research. 50(12). 1071–1084. 2 indexed citations
9.
Jongejans, Eelke, Jörg Albrecht, Bogdan Jaroszewicz, et al.. (2023). Common seed dispersers contribute most to the persistence of a fleshy-fruited tree. Communications Biology. 6(1). 330–330. 11 indexed citations
10.
Masello, Juan F., et al.. (2023). Half of a forest bird community infected with haemosporidian parasites. Frontiers in Ecology and Evolution. 11. 8 indexed citations
11.
Jaroszewicz, Bogdan, et al.. (2022). Forest degradation limits the complementarity and quality of animal seed dispersal. Proceedings of the Royal Society B Biological Sciences. 289(1975). 20220391–20220391. 13 indexed citations
12.
Gottwald, Jannis, Raphaël Royauté, Sascha Rösner, et al.. (2022). Classifying the activity states of small vertebrates using automated VHF telemetry. Methods in Ecology and Evolution. 14(1). 252–264. 6 indexed citations
13.
Heleno, Rúben, R. C. San Gabriel, Xavier A. Harrison, et al.. (2022). Seasonal variation in impact of non‐native species on tropical seed dispersal networks. Functional Ecology. 36(11). 2713–2726. 10 indexed citations
14.
Demissew, Sebsebe, Georg Miehe, Lars Opgenoorth, et al.. (2022). Remote sensing‐supported mapping of the activity of a subterranean landscape engineer across an afro‐alpine ecosystem. Remote Sensing in Ecology and Conservation. 9(2). 195–209. 8 indexed citations
15.
García‐Rodríguez, Alberto, et al.. (2021). Functional complementarity of seed dispersal services provided by birds and mammals in an alpine ecosystem. Journal of Ecology. 110(1). 232–247. 25 indexed citations
16.
Albrecht, Jörg, et al.. (2021). Observing frugivores or collecting scats: a method comparison to construct quantitative seed dispersal networks. Oikos. 130(8). 1359–1369. 20 indexed citations
17.
Schabo, Dana G., et al.. (2019). Does acoustically simulated predation risk affect settlement and reproduction of a migratory passerine?. Ethology. 125(8). 535–547. 8 indexed citations
18.
Schabo, Dana G., et al.. (2018). Patch-matrix movements of birds in the páramo landscape of the southern Andes of Ecuador. Emu - Austral Ornithology. 119(1). 53–60. 11 indexed citations
19.
Albrecht, Jörg, Jonas Hagge, Dana G. Schabo, H. Martin Schaefer, & Nina Farwig. (2018). Reward regulation in plant–frugivore networks requires only weak cues. Nature Communications. 9(1). 4838–4838. 29 indexed citations
20.
Schabo, Dana G., et al.. (2016). Long-term data indicates that supplementary food enhances the number of breeding pairs in a Cape VultureGyps coprotherescolony. Bird Conservation International. 27(1). 140–152. 8 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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