Oliver Rupp

5.0k total citations · 1 hit paper
64 papers, 2.2k citations indexed

About

Oliver Rupp is a scholar working on Molecular Biology, Plant Science and Ecology. According to data from OpenAlex, Oliver Rupp has authored 64 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Molecular Biology, 24 papers in Plant Science and 11 papers in Ecology. Recurrent topics in Oliver Rupp's work include Genomics and Phylogenetic Studies (18 papers), Plant Disease Resistance and Genetics (11 papers) and Plant-Microbe Interactions and Immunity (9 papers). Oliver Rupp is often cited by papers focused on Genomics and Phylogenetic Studies (18 papers), Plant Disease Resistance and Genetics (11 papers) and Plant-Microbe Interactions and Immunity (9 papers). Oliver Rupp collaborates with scholars based in Germany, Austria and United States. Oliver Rupp's co-authors include Alexander Goesmann, Alfred Pühler, Karina Brinkrolf, Daniel Wibberg, Andreas Schlüter, Thomas Noll, Bernd Weißhaar, Jochen Blom, Jörn Kalinowski and Richard Reinhardt and has published in prestigious journals such as Nature, The Journal of Immunology and PLoS ONE.

In The Last Decade

Oliver Rupp

63 papers receiving 2.1k citations

Hit Papers

The genome of the recently domesticated crop plant sugar ... 2013 2026 2017 2021 2013 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Oliver Rupp Germany 26 1.2k 971 286 172 151 64 2.2k
Zhouxi Wang United States 8 1.8k 1.5× 908 0.9× 269 0.9× 338 2.0× 132 0.9× 8 2.9k
Yang Dong China 24 1.3k 1.1× 806 0.8× 194 0.7× 110 0.6× 65 0.4× 106 2.1k
Mingzhang Yang United States 3 1.6k 1.3× 1.1k 1.1× 226 0.8× 396 2.3× 139 0.9× 5 2.7k
S. Pillai United Kingdom 3 1.4k 1.2× 838 0.9× 221 0.8× 343 2.0× 62 0.4× 4 2.3k
Marco Pagni Switzerland 29 1.4k 1.2× 937 1.0× 236 0.8× 288 1.7× 54 0.4× 75 2.9k
Shenghan Gao China 14 1.2k 1.0× 1.0k 1.0× 219 0.8× 272 1.6× 93 0.6× 40 2.2k
Fu Lu United States 3 2.1k 1.7× 1.1k 1.1× 342 1.2× 444 2.6× 169 1.1× 4 3.3k
Lin Fang China 7 1.0k 0.9× 604 0.6× 355 1.2× 245 1.4× 64 0.4× 11 1.9k
Weining Song China 31 1.2k 1.1× 1.9k 1.9× 448 1.6× 76 0.4× 88 0.6× 80 2.7k
Emmanuel Quévillon United Kingdom 5 1.5k 1.2× 849 0.9× 226 0.8× 354 2.1× 74 0.5× 6 2.5k

Countries citing papers authored by Oliver Rupp

Since Specialization
Citations

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

Fields of papers citing papers by Oliver Rupp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oliver Rupp

This figure shows the co-authorship network connecting the top 25 collaborators of Oliver Rupp. A scholar is included among the top collaborators of Oliver Rupp 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 Oliver Rupp. Oliver Rupp 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
2.
Gutsche, Nora, et al.. (2023). MpTGA, together with MpNPR, regulates sexual reproduction and independently affects oil body formation in Marchantia polymorpha. New Phytologist. 241(4). 1559–1573. 5 indexed citations
3.
Becker, Annette, Oliver Rupp, Diego Bogarín, et al.. (2023). Evolution and development of fruits of Erycina pusilla and other orchid species. PLoS ONE. 18(10). e0286846–e0286846. 4 indexed citations
5.
Wibberg, Daniel, Bart Verwaaijen, Jochen Blom, et al.. (2021). Genome Analyses of the Less Aggressive Rhizoctonia solani AG1-IB Isolates 1/2/21 and O8/2 Compared to the Reference AG1-IB Isolate 7/3/14. Journal of Fungi. 7(10). 832–832. 6 indexed citations
6.
Blifernez-Klassen, Olga, Виктор Классен, Daniel Wibberg, et al.. (2021). Phytoplankton consortia as a blueprint for mutually beneficial eukaryote-bacteria ecosystems based on the biocoenosis of Botryococcus consortia. Scientific Reports. 11(1). 1726–1726. 20 indexed citations
7.
Gross, Thomas P., et al.. (2021). Transcriptome analysis reveals major transcriptional changes during regrowth after mowing of red clover (Trifolium pratense). BMC Plant Biology. 21(1). 95–95. 12 indexed citations
8.
Rupp, Oliver, Lennart Weber, Christian Preußer, et al.. (2020). iCLIP analysis of RNA substrates of the archaeal exosome. BMC Genomics. 21(1). 797–797. 6 indexed citations
9.
Ludueña, Liliana Mercedes, María Soledad Anzuay, Jorge Angelini, et al.. (2018). Genome sequence of the endophytic strain Enterobacter sp. J49, a potential biofertilizer for peanut and maize. Genomics. 111(4). 913–920. 34 indexed citations
10.
Serranía, Javier, et al.. (2017). Massive parallel insertion site sequencing of an arrayed Sinorhizobium meliloti signature-tagged mini-Tn 5 transposon mutant library. Journal of Biotechnology. 257. 9–12. 6 indexed citations
11.
Mannala, Gopala Krishna, Benjamin Izar, Oliver Rupp, et al.. (2017). Listeria monocytogenes Induces a Virulence-Dependent microRNA Signature That Regulates the Immune Response in Galleria mellonella. Frontiers in Microbiology. 8. 2463–2463. 15 indexed citations
12.
Lange, Matthias, et al.. (2016). An Evolutionary Framework for Carpel Developmental Control Genes. Molecular Biology and Evolution. 34(2). msw229–msw229. 26 indexed citations
13.
Wibberg, Daniel, Oliver Rupp, Lukas Jelonek, et al.. (2015). Improved genome sequence of the phytopathogenic fungus Rhizoctonia solani AG1-IB 7/3/14 as established by deep mate-pair sequencing on the MiSeq (Illumina) system. Journal of Biotechnology. 203. 19–21. 22 indexed citations
14.
Chakarov, Nayden, Oliver Rupp, Jörn Kalinowski, et al.. (2015). De novo assembly of the dual transcriptomes of a polymorphic raptor species and its malarial parasite. BMC Genomics. 16(1). 1038–1038. 11 indexed citations
15.
Bogen, Christian, Arwa Al-Dilaimi, Andreas Albersmeier, et al.. (2013). Reconstruction of the lipid metabolism for the microalga Monoraphidium neglectum from its genome sequence reveals characteristics suitable for biofuel production. BMC Genomics. 14(1). 926–926. 79 indexed citations
16.
Zakrzewski, Martha, Thomas Bekel, Alfred Pühler, et al.. (2012). MetaSAMS—A novel software platform for taxonomic classification, functional annotation and comparative analysis of metagenome datasets. Journal of Biotechnology. 167(2). 156–165. 18 indexed citations
18.
Becker, Jennifer, Matthias Hackl, Oliver Rupp, et al.. (2011). Unraveling the Chinese hamster ovary cell line transcriptome by next-generation sequencing. Journal of Biotechnology. 156(3). 227–235. 82 indexed citations
19.
Gregoris, Tristano Bacchetti De, Oliver Rupp, Sven Klages, et al.. (2011). Deep sequencing of naupliar-, cyprid- and adult-specific normalised Expressed Sequence Tag (EST) libraries of the acorn barnacleBalanus amphitrite. Biofouling. 27(4). 367–374. 19 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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