Michael Gruenstaeudl

807 total citations
28 papers, 330 citations indexed

About

Michael Gruenstaeudl is a scholar working on Molecular Biology, Ecology, Evolution, Behavior and Systematics and Plant Science. According to data from OpenAlex, Michael Gruenstaeudl has authored 28 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 16 papers in Ecology, Evolution, Behavior and Systematics and 8 papers in Plant Science. Recurrent topics in Michael Gruenstaeudl's work include Plant Diversity and Evolution (14 papers), Genomics and Phylogenetic Studies (11 papers) and Plant and Fungal Species Descriptions (9 papers). Michael Gruenstaeudl is often cited by papers focused on Plant Diversity and Evolution (14 papers), Genomics and Phylogenetic Studies (11 papers) and Plant and Fungal Species Descriptions (9 papers). Michael Gruenstaeudl collaborates with scholars based in Germany, United States and Saudi Arabia. Michael Gruenstaeudl's co-authors include Robert K. Jansen, Thomas Borsch, Arnoldo Santos‐Guerra, Thomas Borsch, Lars Nauheimer, Tod F. Stuessy, Bryan C. Carstens, Rosabelle Samuel, Estrella Urtubey and Michael H. J. Barfuss and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Michael Gruenstaeudl

28 papers receiving 322 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Gruenstaeudl Germany 12 188 174 116 92 36 28 330
Salvatore Tomasello Germany 11 239 1.3× 147 0.8× 180 1.6× 120 1.3× 27 0.8× 32 380
Oscar M. Vargas United States 8 312 1.7× 269 1.5× 133 1.1× 143 1.6× 34 0.9× 20 443
K. Bernhard von Hagen Germany 10 339 1.8× 190 1.1× 173 1.5× 93 1.0× 20 0.6× 19 440
Jie Cai China 10 214 1.1× 254 1.5× 131 1.1× 60 0.7× 10 0.3× 36 371
G.V. Cron South Africa 12 189 1.0× 112 0.6× 179 1.5× 46 0.5× 58 1.6× 47 345
Natalia Tkach Germany 13 381 2.0× 254 1.5× 235 2.0× 116 1.3× 20 0.6× 27 532
Verônica A. Thode Brazil 9 173 0.9× 160 0.9× 85 0.7× 52 0.6× 11 0.3× 21 270
Eckhard Von Raab-Straube Germany 14 299 1.6× 158 0.9× 313 2.7× 46 0.5× 92 2.6× 34 479
Moshe Einhorn Israel 5 294 1.6× 248 1.4× 349 3.0× 179 1.9× 13 0.4× 7 548
Pia Eldenäs Sweden 11 305 1.6× 141 0.8× 195 1.7× 41 0.4× 83 2.3× 13 426

Countries citing papers authored by Michael Gruenstaeudl

Since Specialization
Citations

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

Fields of papers citing papers by Michael Gruenstaeudl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Gruenstaeudl

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Gruenstaeudl. A scholar is included among the top collaborators of Michael Gruenstaeudl 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 Michael Gruenstaeudl. Michael Gruenstaeudl 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.
Gruenstaeudl, Michael, et al.. (2025). Variation of and associations with the depth and evenness of sequencing coverage in archived plastid genomes. Scientific Reports. 15(1). 26294–26294. 1 indexed citations
2.
3.
Borsch, Thomas, et al.. (2022). Software Choice and Sequencing Coverage Can Impact Plastid Genome Assembly–A Case Study in the Narrow Endemic Calligonum bakuense. Frontiers in Plant Science. 13. 779830–779830. 5 indexed citations
4.
Gruenstaeudl, Michael, et al.. (2021). airpg: automatically accessing the inverted repeats of archived plastid genomes. BMC Bioinformatics. 22(1). 413–413. 3 indexed citations
5.
6.
Gruenstaeudl, Michael. (2020). annonex2embl : automatic preparation of annotated DNA sequences for bulk submissions to ENA. Bioinformatics. 36(12). 3841–3848. 8 indexed citations
7.
Durán, Iván, Águedo Marrero, Fouad Msanda, et al.. (2020). Iconic, threatened, but largely unknown: Biogeography of the Macaronesian dragon trees (Dracaena spp.) as inferred from plastid DNA markers. Taxon. 69(2). 217–233. 16 indexed citations
8.
Gruenstaeudl, Michael, et al.. (2020). PACVr: plastome assembly coverage visualization in R. BMC Bioinformatics. 21(1). 207–207. 9 indexed citations
9.
Gruenstaeudl, Michael, et al.. (2019). EMBL2checklists: A Python package to facilitate the user-friendly submission of plant and fungal DNA barcoding sequences to ENA. PLoS ONE. 14(1). e0210347–e0210347. 5 indexed citations
10.
Korotkova, Nadja, Michael Gruenstaeudl, Alexander N. Sennikov, et al.. (2019). Phylogeny of the Eurasian genus Jurinea (Asteraceae: Cardueae): Support for a monophyletic genus concept and a first hypothesis on overall species relationships. Taxon. 68(1). 112–131. 11 indexed citations
11.
12.
Gruenstaeudl, Michael, Bryan C. Carstens, Arnoldo Santos‐Guerra, & Robert K. Jansen. (2017). Statistical hybrid detection and the inference of ancestral distribution areas in Tolpis (Asteraceae). Biological Journal of the Linnean Society. 121(1). 133–149. 6 indexed citations
13.
Korotkova, Nadja, et al.. (2017). Towards resolving the evolutionary history of Caucasian pears (Pyrus, Rosaceae)—Phylogenetic relationships, divergence times and leaf trait evolution. Journal of Systematics and Evolution. 56(1). 35–47. 21 indexed citations
14.
Huseynova, Irada, et al.. (2017). Phylogeography and population genetics of the riparian relict treePterocarya fraxinifolia(Juglandaceae) in the South Caucasus. Systematics and Biodiversity. 16(1). 14–27. 18 indexed citations
15.
Gruenstaeudl, Michael. (2016). WARACS: Wrappers to Automate the Reconstruction of Ancestral Character States. Applications in Plant Sciences. 4(2). 4 indexed citations
16.
Gruenstaeudl, Michael, Arnoldo Santos Guerra, Christine V. Hawkes, & Robert K. Jansen. (2013). Molecular survey of arbuscular mycorrhizal fungi associated with Tolpis on three Canary islands (Asteraceae). Vieraea Folia scientiarum biologicarum canariensium. 233–252. 3 indexed citations
17.
Gruenstaeudl, Michael & Robert K. Jansen. (2013). Proceedings of the AMURGA International Conferences on Island Biodiversity, 2011. Texas ScholarWorks (Texas Digital Library). 9 indexed citations
18.
Gruenstaeudl, Michael, Arnoldo Santos‐Guerra, & Robert K. Jansen. (2012). Phylogenetic analyses of Tolpis Adans. (Asteraceae) reveal patterns of adaptive radiation, multiple colonization and interspecific hybridization. Cladistics. 29(4). 416–434. 37 indexed citations
19.
Gruenstaeudl, Michael, Estrella Urtubey, Robert K. Jansen, et al.. (2009). Phylogeny of Barnadesioideae (Asteraceae) inferred from DNA sequence data and morphology. Molecular Phylogenetics and Evolution. 51(3). 572–587. 49 indexed citations
20.
Stacy, Ralph W., et al.. (1960). Biological and medical electronics. Medical Entomology and Zoology. 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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