Alexander Donath

15.1k total citations · 3 hit papers
43 papers, 6.1k citations indexed

About

Alexander Donath is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics and Insect Science. According to data from OpenAlex, Alexander Donath has authored 43 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Ecology, Evolution, Behavior and Systematics, 20 papers in Genetics and 16 papers in Insect Science. Recurrent topics in Alexander Donath's work include Insect and Arachnid Ecology and Behavior (11 papers), Plant and animal studies (11 papers) and Genomics and Phylogenetic Studies (9 papers). Alexander Donath is often cited by papers focused on Insect and Arachnid Ecology and Behavior (11 papers), Plant and animal studies (11 papers) and Genomics and Phylogenetic Studies (9 papers). Alexander Donath collaborates with scholars based in Germany, China and United States. Alexander Donath's co-authors include Peter F. Stadler, Matthias Bernt, Martin Middendorf, Frank Jühling, Joern Pütz, Catherine Florentz, Guido Fritzsch, Bernhard Misof, Shanlin Liu and Xin Zhou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Alexander Donath

42 papers receiving 6.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

MITOS: Improved de novo metazoan mitochondrial genome annotation

2012 3.5k citations Matthias Bernt, Alexander Donath et al. Molecular Phylogenetics and Evolution profile →
Improved annotation of protein-coding genes boundaries in metazoan mitochondrial genomes

2019 423 citations Alexander Donath, Frank Jühling et al. Nucleic Acids Research profile →
Phylogenomics reveals the evolutionary timing and pattern of butterflies and moths

2019 284 citations Akito Y. Kawahara, David Plotkin et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alexander Donath Germany	25	3.2k	2.1k	2.1k	1.7k	1.4k	43	6.1k
Matthias Bernt Germany	15	3.3k 1.0×	1.6k 0.8×	1.1k 0.6×	1.7k 1.0×	958 0.7×	45	5.1k
Gerard Talavera Spain	26	2.4k 0.7×	2.1k 1.0×	2.2k 1.1×	1.6k 1.0×	753 0.5×	61	6.4k
Paul B. Frandsen United States	20	1.9k 0.6×	1.9k 0.9×	2.2k 1.1×	1.5k 0.9×	808 0.6×	77	5.7k
Bernhard Misof Germany	52	2.3k 0.7×	3.0k 1.4×	3.6k 1.7×	1.9k 1.2×	1.7k 1.2×	162	7.7k
Alejandro Sánchez‐Gracia Spain	17	2.3k 0.7×	2.1k 1.0×	1.3k 0.6×	1.1k 0.7×	916 0.7×	39	5.8k
Guido Fritzsch Germany	17	2.7k 0.8×	1.4k 0.7×	1.0k 0.5×	1.4k 0.9×	823 0.6×	19	4.5k
Jessica Leigh Canada	12	1.8k 0.6×	2.1k 1.0×	1.1k 0.5×	2.1k 1.3×	551 0.4×	14	5.7k
Sebastián E. Ramos‐Onsins Spain	24	3.2k 1.0×	4.1k 2.0×	1.7k 0.9×	2.0k 1.2×	793 0.6×	55	8.9k
Guillaume Achaz France	25	1.8k 0.5×	1.7k 0.8×	1.2k 0.6×	1.7k 1.0×	564 0.4×	55	5.3k
April Wright United States	16	1.6k 0.5×	1.5k 0.7×	1.9k 0.9×	1.2k 0.7×	625 0.4×	33	5.0k

Countries citing papers authored by Alexander Donath

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Donath

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Donath

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

All Works

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20 of 20 papers shown

Frankenbach, Silja, Martín Simón, Gilles Gasparoni, et al.. (2023). Shedding light on starvation in darkness in the plastid-bearing sea slug Elysia viridis (Montagu, 1804). Marine Biology. 170(7). 3 indexed citations

Podsiadłowski, Lars, Alexander Donath, Malte Petersen, et al.. (2023). Intrasexual cuticular hydrocarbon dimorphism in a wasp sheds light on hydrocarbon biosynthesis genes in Hymenoptera. Communications Biology. 6(1). 147–147. 6 indexed citations

Simón, Martín, Abdulrahman Salhab, Alexander Donath, et al.. (2021). The complete mitochondrial genome of the photosymbiotic sea slug Berghia stephanieae (Valdés, 2005) (Gastropoda, Nudibranchia). SHILAP Revista de lepidopterología. 6(8). 2281–2284. 4 indexed citations

Bayless, Keith M., Michelle Trautwein, Karen Meusemann, et al.. (2021). Beyond Drosophila: resolving the rapid radiation of schizophoran flies with phylotranscriptomics. BMC Biology. 19(1). 23–23. 33 indexed citations

Donath, Alexander, et al.. (2021). Midgut transcriptome assessment of the cockroach-hunting wasp Ampulex compressa (Apoidea: Ampulicidae). PLoS ONE. 16(6). e0252221–e0252221. 3 indexed citations

Meusemann, Karen, Jessica A. Goodheart, Alexander Martynov, et al.. (2021). Transcriptomics provides a robust framework for the relationships of the major clades of cladobranch sea slugs (Mollusca, Gastropoda, Heterobranchia), but fails to resolve the position of the enigmatic genus Embletonia. SHILAP Revista de lepidopterología. 21(1). 226–226. 11 indexed citations

Song, Hojun, Olivier Béthoux, Seunggwan Shin, et al.. (2020). Phylogenomic analysis sheds light on the evolutionary pathways towards acoustic communication in Orthoptera. Nature Communications. 11(1). 4939–4939. 100 indexed citations

Kawahara, Akito Y., David Plotkin, Marianne Espeland, et al.. (2019). Phylogenomics reveals the evolutionary timing and pattern of butterflies and moths. Proceedings of the National Academy of Sciences. 116(45). 22657–22663. 284 indexed citations breakdown →

Donath, Alexander, Frank Jühling, Stephan Wolf, et al.. (2019). Improved annotation of protein-coding genes boundaries in metazoan mitochondrial genomes. Nucleic Acids Research. 47(20). 10543–10552. 423 indexed citations breakdown →

10.

Paraskevopoulou, Sofia, Florian Zirkel, Nicolas Wieseke, et al.. (2019). Re-assessing the diversity of negative strand RNA viruses in insects. PLoS Pathogens. 15(12). e1008224–e1008224. 100 indexed citations

11.

Dobler, Susanne, et al.. (2019). Robust reference gene design and validation for expression studies in the large milkweed bug, Oncopeltus fasciatus, upon cardiac glycoside stress. Gene. 710. 66–75. 7 indexed citations

12.

Vasilikopoulos, Alexandros, Michael Balke, Rolf G. Beutel, et al.. (2019). Phylogenomics of the superfamily Dytiscoidea (Coleoptera: Adephaga) with an evaluation of phylogenetic conflict and systematic error. Molecular Phylogenetics and Evolution. 135. 270–285. 34 indexed citations

13.

Donath, Alexander & Peter F. Stadler. (2018). Split-inducing indels in phylogenomic analysis. Algorithms for Molecular Biology. 13(1). 12–12. 9 indexed citations

14.

Petersen, Malte, Karen Meusemann, Alexander Donath, et al.. (2017). Orthograph: a versatile tool for mapping coding nucleotide sequences to clusters of orthologous genes. BMC Bioinformatics. 18(1). 111–111. 118 indexed citations

15.

Peters, Ralph S., Oliver Niehuis, Christoph Mayer, et al.. (2017). Transcriptome sequence-based phylogeny of chalcidoid wasps (Hymenoptera: Chalcidoidea) reveals a history of rapid radiations, convergence, and evolutionary success. Molecular Phylogenetics and Evolution. 120. 286–296. 71 indexed citations

16.

Dowling, Daniel, Malte Petersen, Karen Meusemann, et al.. (2016). Transcriptomic data from panarthropods shed new light on the evolution of insulator binding proteins in insects. BMC Genomics. 17(1). 861–861. 13 indexed citations

17.

Dowling, Daniel, Alexander Donath, Karen Meusemann, et al.. (2016). Phylogenetic Origin and Diversification of RNAi Pathway Genes in Insects. Genome Biology and Evolution. 8(12). evw281–evw281. 79 indexed citations

18.

Peters, Ralph S., Karen Meusemann, Malte Petersen, et al.. (2014). The evolutionary history of holometabolous insects inferred from transcriptome-based phylogeny and comprehensive morphological data. BMC Evolutionary Biology. 14(1). 52–52. 139 indexed citations

19.

Niehuis, Oliver, Sonja Grath, Hans Pohl, et al.. (2013). Genomic and Morphological Evidence Converge to Resolve the Enigma of Strepsiptera. Current Biology. 23(14). 1388–1388. 7 indexed citations

20.

Niehuis, Oliver, Sonja Grath, Hans Pohl, et al.. (2012). Genomic and Morphological Evidence Converge to Resolve the Enigma of Strepsiptera. Current Biology. 22(14). 1309–1313. 123 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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