Robert R. Junker

7.1k total citations
106 papers, 3.1k citations indexed

About

Robert R. Junker is a scholar working on Ecology, Evolution, Behavior and Systematics, Plant Science and Nature and Landscape Conservation. According to data from OpenAlex, Robert R. Junker has authored 106 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Ecology, Evolution, Behavior and Systematics, 59 papers in Plant Science and 33 papers in Nature and Landscape Conservation. Recurrent topics in Robert R. Junker's work include Plant and animal studies (72 papers), Plant Parasitism and Resistance (48 papers) and Ecology and Vegetation Dynamics Studies (33 papers). Robert R. Junker is often cited by papers focused on Plant and animal studies (72 papers), Plant Parasitism and Resistance (48 papers) and Ecology and Vegetation Dynamics Studies (33 papers). Robert R. Junker collaborates with scholars based in Germany, Austria and Spain. Robert R. Junker's co-authors include Nico Blüthgen, Alexander Keller, Dorothea Tholl, Amy L. Parachnowitsch, Jonas Kuppler, Stefan Dötterl, Klaus Lunau, Wolfgang Trutschnig, H. Martin Schaefer and Julia Binkenstein and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Robert R. Junker

103 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert R. Junker Germany 34 2.1k 1.8k 767 696 670 106 3.1k
Marc Gibernau France 30 2.2k 1.0× 1.5k 0.8× 560 0.7× 701 1.0× 631 0.9× 125 3.0k
Isabel Cristina Machado Brazil 32 2.7k 1.3× 1.7k 0.9× 472 0.6× 492 0.7× 817 1.2× 157 3.2k
Anne‐Laure Jacquemart Belgium 32 1.9k 0.9× 1.6k 0.9× 848 1.1× 422 0.6× 732 1.1× 116 2.8k
Víctor Parra‐Tabla Mexico 31 2.1k 1.0× 1.5k 0.8× 589 0.8× 313 0.4× 1.2k 1.9× 122 2.7k
Judith X. Becerra United States 27 1.6k 0.8× 1.0k 0.6× 757 1.0× 475 0.7× 693 1.0× 47 2.5k
Klaas Vrieling Netherlands 32 1.6k 0.7× 1.6k 0.9× 553 0.7× 1.3k 1.9× 595 0.9× 103 3.0k
Graciela Valladares Argentina 32 1.4k 0.7× 1.4k 0.8× 1.3k 1.7× 477 0.7× 844 1.3× 95 2.9k
Sybille B. Unsicker Germany 34 1.6k 0.7× 2.1k 1.2× 1.6k 2.1× 973 1.4× 651 1.0× 72 4.0k
Gerhard Gottsberger Germany 39 3.3k 1.5× 1.9k 1.1× 705 0.9× 1.1k 1.5× 800 1.2× 112 3.9k
C. C. Wilcock United Kingdom 15 1.6k 0.7× 1.8k 1.0× 577 0.8× 649 0.9× 727 1.1× 51 3.4k

Countries citing papers authored by Robert R. Junker

Since Specialization
Citations

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

Fields of papers citing papers by Robert R. Junker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert R. Junker. 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 Robert R. Junker. The network helps show where Robert R. Junker may publish in the future.

Co-authorship network of co-authors of Robert R. Junker

This figure shows the co-authorship network connecting the top 25 collaborators of Robert R. Junker. A scholar is included among the top collaborators of Robert R. Junker 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 Robert R. Junker. Robert R. Junker 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.
Dötterl, Stefan, et al.. (2025). Floral scent chemodiversity is associated with high floral visitor but low bacterial richness on flowers. New Phytologist. 248(6). 3270–3279.
2.
Junker, Robert R., Jianhua Xiao, Jesse R. Lasky, et al.. (2025). Genetic and environmental drivers of intraspecific variation in foliar metabolites in a tropical tree community. New Phytologist. 246(6). 2551–2564. 1 indexed citations
3.
Michelot‐Antalik, Alice, Francesco de Bello, Jérémy Grosjean, et al.. (2025). Handbook of protocols for standardized measurements of floral traits for pollinators in temperate communities. Methods in Ecology and Evolution. 16(5). 988–1001. 4 indexed citations
4.
Farmonov, Nizom, Christian Lampei, Mona Schreiber, et al.. (2025). Optimizing hybrid models for forest leaf and canopy trait mapping from EnMAP hyperspectral data with limited field samples. Science of Remote Sensing. 12. 100253–100253.
5.
Heymann, Eckhard W., et al.. (2024). Vertically stratified interactions of nectarivores and nectar‐inhabiting bacteria in a liana flowering across forest strata*. American Journal of Botany. 111(3). e16303–e16303. 1 indexed citations
6.
Guo, Yuan, Robert R. Junker, Sharon E. Zytynska, et al.. (2024). Geographic distribution of terpenoid chemotypes in Tanacetum vulgare mediates tansy aphid occurrence but not abundance. Oikos. 2024(7). 4 indexed citations
7.
Trunschke, Judith, et al.. (2024). Effects of climate change on plant-pollinator interactions and its multitrophic consequences. Alpine Botany. 134(2). 115–121. 11 indexed citations
8.
9.
Trutschnig, Wolfgang, et al.. (2022). qad : An R‐package to detect asymmetric and directed dependence in bivariate samples. Methods in Ecology and Evolution. 13(10). 2138–2149. 3 indexed citations
10.
Köllner, Tobias G., et al.. (2022). Quantifying chemodiversity considering biochemical and structural properties of compounds with the R package chemodiv. New Phytologist. 237(6). 2478–2492. 39 indexed citations
11.
Müller, Caroline & Robert R. Junker. (2022). Chemical phenotype as important and dynamic niche dimension of plants. New Phytologist. 234(4). 1168–1174. 33 indexed citations
12.
Vega, Clara de, Kaoru Tsuji, Hans Jacquemyn, et al.. (2022). Sugar Concentration, Nitrogen Availability, and Phylogenetic Factors Determine the Ability of Acinetobacter spp. and Rosenbergiella spp. to Grow in Floral Nectar. Microbial Ecology. 86(1). 377–391. 8 indexed citations
13.
E‐Vojtkó, Anna, Robert R. Junker, Francesco de Bello, & Lars Götzenberger. (2022). Floral and reproductive traits are an independent dimension within the plant economic spectrum of temperate central Europe. New Phytologist. 236(5). 1964–1975. 32 indexed citations
14.
Junker, Robert R., et al.. (2021). Divergent assembly processes? A comparison of the plant and soil microbiome with plant communities in a glacier forefield. FEMS Microbiology Ecology. 97(10). 19 indexed citations
15.
Guo, Yuan, Werner Jud, Fabian Weikl, et al.. (2021). Volatile organic compound patterns predict fungal trophic mode and lifestyle. Communications Biology. 4(1). 673–673. 56 indexed citations
16.
Junker, Robert R., Nico Eisenhauer, Anja Schmidt, & Manfred Türke. (2021). Invertebrate decline reduces bacterial diversity associated with leaves and flowers. FEMS Microbiology Ecology. 97(7). 1 indexed citations
17.
Jud, Werner, Yuan Guo, Fabian Weikl, et al.. (2020). Diversity in fungal volatilomes. OSF Preprints (OSF Preprints). 1 indexed citations
18.
Gillner, Sten, et al.. (2020). Identifying Tree Traits for Cooling Urban Heat Islands—A Cross-City Empirical Analysis. Forests. 11(10). 1064–1064. 39 indexed citations
19.
Müller, Caroline, Andrea Bräutigam, Elisabeth J. Eilers, et al.. (2020). Ecology and Evolution of Intraspecific Chemodiversity of Plants. SHILAP Revista de lepidopterología. 6. 18 indexed citations
20.
Kuppler, Jonas, et al.. (2018). A Fast and Robust Way to Estimate Overlap of Niches, and Draw Inference. The International Journal of Biostatistics. 14(2). 4 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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