Markus C. Baier

678 total citations
9 papers, 487 citations indexed

About

Markus C. Baier is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Ecology. According to data from OpenAlex, Markus C. Baier has authored 9 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Plant Science, 4 papers in Ecology, Evolution, Behavior and Systematics and 2 papers in Ecology. Recurrent topics in Markus C. Baier's work include Legume Nitrogen Fixing Symbiosis (5 papers), Nematode management and characterization studies (3 papers) and Animal Behavior and Reproduction (3 papers). Markus C. Baier is often cited by papers focused on Legume Nitrogen Fixing Symbiosis (5 papers), Nematode management and characterization studies (3 papers) and Animal Behavior and Reproduction (3 papers). Markus C. Baier collaborates with scholars based in Germany, Netherlands and United Kingdom. Markus C. Baier's co-authors include Caroline Müller, Rabea Schweiger, H. Küster, Natalija Hohnjec, Marcus Persicke, Aiko Barsch, Barbara A. Caspers, Matthias Keck, Karsten Niehaus and Martin F. Vieweg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLANT PHYSIOLOGY.

In The Last Decade

Markus C. Baier

9 papers receiving 483 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus C. Baier Germany 9 349 132 70 67 45 9 487
Jay K Goldberg United States 7 338 1.0× 88 0.7× 89 1.3× 41 0.6× 6 0.1× 15 448
H. C. Nusbaum United States 5 610 1.7× 175 1.3× 294 4.2× 49 0.7× 38 0.8× 5 680
A. G. Spiers New Zealand 13 547 1.6× 113 0.9× 300 4.3× 94 1.4× 39 0.9× 53 704
Jian‐Yu Meng China 15 322 0.9× 75 0.6× 223 3.2× 94 1.4× 12 0.3× 47 642
E. I. Hecht-Poinar United States 11 219 0.6× 49 0.4× 69 1.0× 64 1.0× 3 0.1× 25 385
Jean A. Bérubé Canada 13 492 1.4× 146 1.1× 113 1.6× 97 1.4× 196 4.4× 48 599
Fred Whitford United States 9 123 0.4× 46 0.3× 150 2.1× 32 0.5× 14 0.3× 25 324
Esther Ngumbi United States 13 629 1.8× 126 1.0× 104 1.5× 52 0.8× 8 0.2× 23 765
Sunshine Van Bael United States 3 235 0.7× 120 0.9× 39 0.6× 65 1.0× 49 1.1× 3 395
Chunli Xiu China 11 179 0.5× 124 0.9× 65 0.9× 22 0.3× 14 0.3× 42 386

Countries citing papers authored by Markus C. Baier

Since Specialization
Citations

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

Fields of papers citing papers by Markus C. Baier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Markus C. Baier. 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 Markus C. Baier. The network helps show where Markus C. Baier may publish in the future.

Co-authorship network of co-authors of Markus C. Baier

This figure shows the co-authorship network connecting the top 25 collaborators of Markus C. Baier. A scholar is included among the top collaborators of Markus C. Baier 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 Markus C. Baier. Markus C. Baier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Stoffel, Martin A., Barbara A. Caspers, Jaume Forcada, et al.. (2015). Chemical fingerprints encode mother–offspring similarity, colony membership, relatedness, and genetic quality in fur seals. Proceedings of the National Academy of Sciences. 112(36). E5005–12. 57 indexed citations
2.
Schweiger, Rabea, Markus C. Baier, Marcus Persicke, & Caroline Müller. (2014). High specificity in plant leaf metabolic responses to arbuscular mycorrhiza. Nature Communications. 5(1). 3886–3886. 119 indexed citations
3.
Cordes, Nils, Leif Engqvist, Tim Schmoll, et al.. (2014). Larval food composition affects courtship song and sperm expenditure in a lekking moth. Ecological Entomology. 40(1). 34–41. 16 indexed citations
4.
Krause, E. Tobias, et al.. (2014). Differences in olfactory species recognition in the females of two Australian songbird species. Behavioral Ecology and Sociobiology. 68(11). 1819–1827. 43 indexed citations
5.
Schweiger, Rabea, Markus C. Baier, & Caroline Müller. (2014). Arbuscular Mycorrhiza-Induced Shifts in Foliar Metabolism and Photosynthesis Mirror the Developmental Stage of the Symbiosis and Are Only Partly Driven by Improved Phosphate Uptake. Molecular Plant-Microbe Interactions. 27(12). 1403–1412. 36 indexed citations
6.
Baier, Markus C., et al.. (2009). Knockdown of the Symbiotic Sucrose Synthase MtSucS1 Affects Arbuscule Maturation and Maintenance in Mycorrhizal Roots of Medicago truncatula  . PLANT PHYSIOLOGY. 152(2). 1000–1014. 74 indexed citations
7.
Hohnjec, Natalija, et al.. (2008). The Signal Peptide of the Medicago truncatula Modular Nodulin MtNOD25 Operates as an Address Label for the Specific Targeting of Proteins to Nitrogen-Fixing Symbiosomes. Molecular Plant-Microbe Interactions. 22(1). 63–72. 20 indexed citations
8.
9.
Küster, H., Martin F. Vieweg, Katja Manthey, et al.. (2006). Identification and expression regulation of symbiotically activated legume genes. Phytochemistry. 68(1). 8–18. 42 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026