Hajk‐Georg Drost

6.6k total citations · 1 hit paper
31 papers, 3.0k citations indexed

About

Hajk‐Georg Drost is a scholar working on Plant Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Hajk‐Georg Drost has authored 31 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 20 papers in Molecular Biology and 3 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Hajk‐Georg Drost's work include Chromosomal and Genetic Variations (13 papers), Genomics and Phylogenetic Studies (12 papers) and Plant Virus Research Studies (9 papers). Hajk‐Georg Drost is often cited by papers focused on Chromosomal and Genetic Variations (13 papers), Genomics and Phylogenetic Studies (12 papers) and Plant Virus Research Studies (9 papers). Hajk‐Georg Drost collaborates with scholars based in Germany, United Kingdom and United States. Hajk‐Georg Drost's co-authors include Benjamin Buchfink, Klaus Reuter, Ivo Große, Marcel Quint, Jerzy Paszkowski, Alexander Gabel, Markus Bönn, Kristian K Ullrich, Diego H. Sánchez and Matthias Benoit and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Hajk‐Georg Drost

29 papers receiving 2.9k citations

Hit Papers

Sensitive protein alignme... 2021 2026 2022 2024 2021 500 1000 1.5k
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.

  1. Sensitive protein alignments at tree-of-life scale using DIAMOND
    2021 1.9k citations Benjamin Buchfink, Klaus Reuter et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hajk‐Georg Drost Germany 18 1.6k 1.1k 582 355 225 31 3.0k
Konrad Paszkiewicz United Kingdom 32 1.7k 1.1× 1.2k 1.0× 555 1.0× 342 1.0× 100 0.4× 75 3.6k
Ana Hernández-Plaza Spain 5 1.9k 1.2× 736 0.7× 894 1.5× 301 0.8× 160 0.7× 6 3.1k
Valentin Guignon France 11 2.2k 1.3× 1.5k 1.4× 698 1.2× 429 1.2× 307 1.4× 21 4.4k
Walter Pirovano Netherlands 17 2.2k 1.4× 1.1k 0.9× 813 1.4× 495 1.4× 275 1.2× 40 3.7k
Sylvain Buffet France 6 2.0k 1.2× 1.1k 1.0× 703 1.2× 388 1.1× 295 1.3× 7 4.0k
Andreas Sjödin Sweden 28 1.8k 1.1× 1.3k 1.2× 501 0.9× 495 1.4× 128 0.6× 84 3.2k
Chris Boursnell United Kingdom 6 2.5k 1.6× 892 0.8× 599 1.0× 443 1.2× 148 0.7× 6 3.7k
Sithichoke Tangphatsornruang Thailand 34 1.6k 1.0× 1.3k 1.2× 821 1.4× 514 1.4× 224 1.0× 149 3.4k
Robert Vaser Croatia 5 1.8k 1.1× 761 0.7× 481 0.8× 667 1.9× 136 0.6× 10 2.9k

Countries citing papers authored by Hajk‐Georg Drost

Since Specialization
Citations

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

Fields of papers citing papers by Hajk‐Georg Drost

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hajk‐Georg Drost. 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 Hajk‐Georg Drost. The network helps show where Hajk‐Georg Drost may publish in the future.

Co-authorship network of co-authors of Hajk‐Georg Drost

This figure shows the co-authorship network connecting the top 25 collaborators of Hajk‐Georg Drost. A scholar is included among the top collaborators of Hajk‐Georg Drost 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 Hajk‐Georg Drost. Hajk‐Georg Drost 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.
Craig, Rory J., et al.. (2025). Characterization of the transposable element landscape shaping the Ectocarpus genome. Genome biology. 26(1). 320–320.
2.
Drost, Hajk‐Georg, et al.. (2025). Defining the epigenetic toolkit as an evolvable trait. Trends in Plant Science. 31(2). 153–164.
3.
Murray, Kevin, Christa Lanz, Oliver Deusch, et al.. (2025). Pangenomic context reveals the extent of intraspecific plant NLR evolution. Cell Host & Microbe. 33(8). 1291–1305.e9. 1 indexed citations
4.
Drost, Hajk‐Georg. (2024). How ancient genes form animal body plans. Nature Reviews Genetics. 25(7). 458–458. 1 indexed citations
5.
Luthringer, R., et al.. (2024). A transcriptomic hourglass in brown algae. Nature. 635(8037). 129–135. 10 indexed citations
6.
Becker, Claude, et al.. (2024). Transposon dynamics in the emerging oilseed crop Thlaspi arvense. PLoS Genetics. 20(1). e1011141–e1011141. 5 indexed citations
7.
Barrera‐Redondo, Josué, et al.. (2023). Uncovering gene-family founder events during major evolutionary transitions in animals, plants and fungi using GenEra. Genome biology. 24(1). 54–54. 29 indexed citations
8.
Buchfink, Benjamin, et al.. (2023). Sensitive inference of alignment-safe intervals from biodiverse protein sequence clusters using EMERALD. Genome biology. 24(1). 168–168. 1 indexed citations
9.
Gisbert, Carmina, Hajk‐Georg Drost, Danila Valentino, et al.. (2021). Grafting vigour is associated with DNA de-methylation in eggplant. Horticulture Research. 8(1). 241–241. 25 indexed citations
10.
Williams, Eleanor C, et al.. (2021). noisyR : enhancing biological signal in sequencing datasets by characterizing random technical noise. Nucleic Acids Research. 49(14). e83–e83. 16 indexed citations
11.
Buchfink, Benjamin, Klaus Reuter, & Hajk‐Georg Drost. (2021). Sensitive protein alignments at tree-of-life scale using DIAMOND. Nature Methods. 18(4). 366–368. 1867 indexed citations breakdown →
12.
Benoit, Matthias & Hajk‐Georg Drost. (2021). A Predictive Approach to Infer the Activity and Natural Variation of Retrotransposon Families in Plants. Methods in molecular biology. 2250. 1–14. 9 indexed citations
13.
Drost, Hajk‐Georg. (2020). LTRpred: de novo annotation of intact retrotransposons. The Journal of Open Source Software. 5(50). 2170–2170. 14 indexed citations
14.
Drost, Hajk‐Georg & Diego H. Sánchez. (2019). Becoming a Selfish Clan: Recombination Associated to Reverse-Transcription in LTR Retrotransposons. Genome Biology and Evolution. 11(12). 3382–3392. 16 indexed citations
15.
Benoit, Matthias, Hajk‐Georg Drost, Marco Catoni, et al.. (2019). Environmental and epigenetic regulation of Rider retrotransposons in tomato. PLoS Genetics. 15(9). e1008370–e1008370. 53 indexed citations
16.
Expósito‐Alonso, Moisés, Hajk‐Georg Drost, Hernán A. Burbano, & Detlef Weigel. (2019). The Earth BioGenome project: opportunities and challenges for plant genomics and conservation. The Plant Journal. 102(2). 222–229. 28 indexed citations
17.
Cho, Jungnam, Matthias Benoit, Marco Catoni, et al.. (2018). Sensitive detection of pre-integration intermediates of long terminal repeat retrotransposons in crop plants. Nature Plants. 5(1). 26–33. 36 indexed citations
18.
Drost, Hajk‐Georg. (2018). Philentropy: Information Theory and Distance Quantification with R. The Journal of Open Source Software. 3(26). 765–765. 138 indexed citations
19.
Gogleva, Anna, Hajk‐Georg Drost, & Sebastián Schornack. (2018). SecretSanta: flexible pipelines for functional secretome prediction. Bioinformatics. 34(13). 2295–2296. 11 indexed citations
20.
Drost, Hajk‐Georg, Alexander Gabel, Jialin Liu, Marcel Quint, & Ivo Große. (2017). myTAI: evolutionary transcriptomics with R. Bioinformatics. 34(9). 1589–1590. 41 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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